From 8359b9e5a3dcd9bc00fdfaae6992a6bb47288ec0 Mon Sep 17 00:00:00 2001
From: "daisuke.aramaki" <92370011+da1996-04@users.noreply.github.com>
Date: Fri, 24 May 2024 18:14:11 +0900
Subject: [PATCH 01/17] Update readme.md
---
readme.md | 11 +++++++++++
1 file changed, 11 insertions(+)
diff --git a/readme.md b/readme.md
index 164ecd7..a450d23 100644
--- a/readme.md
+++ b/readme.md
@@ -29,6 +29,17 @@
* [B章 codegen for func](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_function_object.ipynb)
* [B章 codegen for solver](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_solver_interface.ipynb)
* [B章 discrete](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_discrete_actuator.ipynb)
+
+## 本書で作成する制御のアニメーション例
+
+* 倒立振子
+
+
+* 2次元ドローン
+
+
+* ゴム紐
+
## リンク集
From fb7d566eaf7a18979aff0cfe1123950d56047efe Mon Sep 17 00:00:00 2001
From: "daisuke.aramaki" <92370011+da1996-04@users.noreply.github.com>
Date: Fri, 24 May 2024 18:16:54 +0900
Subject: [PATCH 02/17] Update readme.md
---
readme.md | 3 +++
1 file changed, 3 insertions(+)
diff --git a/readme.md b/readme.md
index a450d23..5e3a611 100644
--- a/readme.md
+++ b/readme.md
@@ -43,6 +43,9 @@
## リンク集
+### Amazon
+[単行本](https://www.amazon.co.jp/Python%E3%81%A8CasADi%E3%81%A7%E5%AD%A6%E3%81%B6%E3%83%A2%E3%83%87%E3%83%AB%E4%BA%88%E6%B8%AC%E5%88%B6%E5%BE%A1-KS%E7%90%86%E5%B7%A5%E5%AD%A6%E5%B0%82%E9%96%80%E6%9B%B8-%E6%B7%B1%E6%B4%A5-%E5%8D%93%E5%BC%A5/dp/4065356113)
+
### 著者発信の情報
|ソース |リンク |補足|
From 2d5538bd0ec2aa96be042b9cd33fc60499759403 Mon Sep 17 00:00:00 2001
From: "daisuke.aramaki" <92370011+da1996-04@users.noreply.github.com>
Date: Fri, 24 May 2024 18:21:27 +0900
Subject: [PATCH 03/17] Update readme.md
---
readme.md | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/readme.md b/readme.md
index 5e3a611..67f86b8 100644
--- a/readme.md
+++ b/readme.md
@@ -26,9 +26,9 @@
* [8章 CSTRに対するMPCxMHE](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter8_CSTR.ipynb)
* B章 CasADi中級
* [B章 acados(* Google Colabでの動作は行えません。)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_acados_getting_started.ipynb)
- * [B章 codegen for func](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_function_object.ipynb)
- * [B章 codegen for solver](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_solver_interface.ipynb)
- * [B章 discrete](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_discrete_actuator.ipynb)
+ * [B章 関数オブジェクトのCコード生成](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_function_object.ipynb)
+ * [B章 ソルバーオブジェクトのCコード生成](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_solver_interface.ipynb)
+ * [B章 ロトカ・ヴォルテラモデルに対する離散入力MPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_discrete_actuator.ipynb)
## 本書で作成する制御のアニメーション例
From 51f99fcbe535b11523a41325d6f247259117e6ad Mon Sep 17 00:00:00 2001
From: "daisuke.aramaki" <92370011+da1996-04@users.noreply.github.com>
Date: Sat, 25 May 2024 17:00:20 +0900
Subject: [PATCH 04/17] Update readme.md
---
readme.md | 7 ++++---
1 file changed, 4 insertions(+), 3 deletions(-)
diff --git a/readme.md b/readme.md
index 67f86b8..98e63be 100644
--- a/readme.md
+++ b/readme.md
@@ -32,19 +32,20 @@
## 本書で作成する制御のアニメーション例
-* 倒立振子
+* **倒立振子**
-* 2次元ドローン
+* **2次元ドローン**
-* ゴム紐
+* **ゴム紐**
## リンク集
### Amazon
[単行本](https://www.amazon.co.jp/Python%E3%81%A8CasADi%E3%81%A7%E5%AD%A6%E3%81%B6%E3%83%A2%E3%83%87%E3%83%AB%E4%BA%88%E6%B8%AC%E5%88%B6%E5%BE%A1-KS%E7%90%86%E5%B7%A5%E5%AD%A6%E5%B0%82%E9%96%80%E6%9B%B8-%E6%B7%B1%E6%B4%A5-%E5%8D%93%E5%BC%A5/dp/4065356113)
+[サポートサイト](https://github.com/proxima-technology/casadi_mpc_nyuumon)
### 著者発信の情報
From 8d2fa849e162344b1f292b5a7d878c753730dde2 Mon Sep 17 00:00:00 2001
From: "daisuke.aramaki" <92370011+da1996-04@users.noreply.github.com>
Date: Sat, 25 May 2024 17:41:33 +0900
Subject: [PATCH 05/17] Create LICENSE
---
LICENSE | 201 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 201 insertions(+)
create mode 100644 LICENSE
diff --git a/LICENSE b/LICENSE
new file mode 100644
index 0000000..261eeb9
--- /dev/null
+++ b/LICENSE
@@ -0,0 +1,201 @@
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
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From 2be08cff309cc4dcae7a5c39499f7b8392aa067b Mon Sep 17 00:00:00 2001
From: "daisuke.aramaki" <92370011+da1996-04@users.noreply.github.com>
Date: Sat, 25 May 2024 19:22:24 +0900
Subject: [PATCH 06/17] Update readme.md
---
readme.md | 22 ++++++++++++----------
1 file changed, 12 insertions(+), 10 deletions(-)
diff --git a/readme.md b/readme.md
index 98e63be..a9f3fa3 100644
--- a/readme.md
+++ b/readme.md
@@ -5,26 +5,26 @@
## Google Colabへのリンク
-* 3章 CasADi入門
- * [CasADiの基本](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter3.ipynb)
-* 4章 離散時間のモデル予測制御
- * [ロトカ・ヴォルテラモデルに対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter4.ipynb)
-* 5章 連続時間のモデル予測制御
- * [倒立振子に対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter5.ipynb)
-* 6章 モデル予測制御の実装に向けて
+* **3章 CasADi入門**
+ * [3章 CasADiの基本](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter3.ipynb)
+* **4章 離散時間のモデル予測制御**
+ * [4章 ロトカ・ヴォルテラモデルに対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter4.ipynb)
+* **5章 連続時間のモデル予測制御**
+ * [5章 倒立振子に対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter5.ipynb)
+* **6章 モデル予測制御の実装に向けて**
* [6章 直接的単一シューティング法と直接的多重シューティング法の比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_single_shooting.ipynb)
* [6章 直接的コロケーション法と直接的多重シューティング法の比較(計算速度)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_collocation_cartpole.ipynb)
* [6章 直接的コロケーション法と直接的多重シューティング法の比較(硬い状態方程式モデル)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_collocation_stiff.ipynb)
* [6章 ウォームスタート](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_warm_start_experiment_solution_time.ipynb)
* [6章 反復回数の制限](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_limit_iteration.ipynb)
-* 7章 CasADiにおける最適化ソルバーの比較
+* **7章 CasADiにおける最適化ソルバーの比較**
* [7章 マス・バネ・ダンバモデルを例に用いたIPOPTとOSQPの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_mass_spring_damper.ipynb)
* [7章 2次元ドローンを例に用いたQPソルバーの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_2d_quadrotor.ipynb)
* [7章 ゴム紐モデルを例に用いたNLPソルバーの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_chain_of_masses.ipynb)
-* 8章 状態推定問題と移動ホライズン推定
+* **8章 状態推定問題と移動ホライズン推定**
* [8章 リチウムイオン電池に対するMHE](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter8_LIB.ipynb)
* [8章 CSTRに対するMPCxMHE](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter8_CSTR.ipynb)
-* B章 CasADi中級
+* **B章 CasADi中級**
* [B章 acados(* Google Colabでの動作は行えません。)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_acados_getting_started.ipynb)
* [B章 関数オブジェクトのCコード生成](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_function_object.ipynb)
* [B章 ソルバーオブジェクトのCコード生成](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_solver_interface.ipynb)
@@ -45,6 +45,8 @@
### Amazon
[単行本](https://www.amazon.co.jp/Python%E3%81%A8CasADi%E3%81%A7%E5%AD%A6%E3%81%B6%E3%83%A2%E3%83%87%E3%83%AB%E4%BA%88%E6%B8%AC%E5%88%B6%E5%BE%A1-KS%E7%90%86%E5%B7%A5%E5%AD%A6%E5%B0%82%E9%96%80%E6%9B%B8-%E6%B7%B1%E6%B4%A5-%E5%8D%93%E5%BC%A5/dp/4065356113)
+
+### 参考資料
[サポートサイト](https://github.com/proxima-technology/casadi_mpc_nyuumon)
### 著者発信の情報
From 18038505a27c9d923e7b1f93d3ae5ea68eaf3a1d Mon Sep 17 00:00:00 2001
From: "daisuke.aramaki" <92370011+da1996-04@users.noreply.github.com>
Date: Sun, 26 May 2024 23:52:29 +0900
Subject: [PATCH 07/17] Update readme.md
---
readme.md | 68 +++++++++++++++++++++++++++++++++++--------------------
1 file changed, 43 insertions(+), 25 deletions(-)
diff --git a/readme.md b/readme.md
index a9f3fa3..c6d4b92 100644
--- a/readme.md
+++ b/readme.md
@@ -3,34 +3,52 @@
[](https://amzn.asia/d/8TwVTO3)
+### 書籍の購入はこちら:
+[Amazonで購入](https://amzn.asia/d/8TwVTO3)
+
+## 目次
+- [Google Colabへのリンク](#google-colabへのリンク)
+- [制御のアニメーション例](#制御のアニメーション例)
+- [リンク集](#リンク集)
+- [著者発信の情報](#著者発信の情報)
+
## Google Colabへのリンク
+ここでは、本書の各章に対応するGoogle Colabノートブックへのリンクを提供します。以下のリンクから直接実行可能です。
+
+### 3章 CasADi入門
+- [3章 CasADiの基本](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter3.ipynb)
+
+### 4章 離散時間のモデル予測制御
+- [4章 ロトカ・ヴォルテラモデルに対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter4.ipynb)
+
+### 5章 連続時間のモデル予測制御
+- [5章 倒立振子に対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter5.ipynb)
+
+### 6章 モデル予測制御の実装に向けて
+- [6章 直接的単一シューティング法と直接的多重シューティング法の比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_single_shooting.ipynb)
+- [6章 直接的コロケーション法と直接的多重シューティング法の比較(計算速度)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_collocation_cartpole.ipynb)
+- [6章 直接的コロケーション法と直接的多重シューティング法の比較(硬い状態方程式モデル)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_collocation_stiff.ipynb)
+- [6章 ウォームスタート](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_warm_start_experiment_solution_time.ipynb)
+- [6章 反復回数の制限](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_limit_iteration.ipynb)
+
+### 7章 CasADiにおける最適化ソルバーの比較
+- [7章 マス・バネ・ダンバモデルを例に用いたIPOPTとOSQPの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_mass_spring_damper.ipynb)
+- [7章 2次元ドローンを例に用いたQPソルバーの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_2d_quadrotor.ipynb)
+- [7章 ゴム紐モデルを例に用いたNLPソルバーの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_chain_of_masses.ipynb)
+
+### 8章 状態推定問題と移動ホライズン推定
+- [8章 リチウムイオン電池に対するMHE](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter8_LIB.ipynb)
+- [8章 CSTRに対するMPCxMHE](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter8_CSTR.ipynb)
+
+### B章 CasADi中級
+- [B章 acados(* Google Colabでの動作は行えません。)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_acados_getting_started.ipynb)
+- [B章 関数オブジェクトのCコード生成](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_function_object.ipynb)
+- [B章 ソルバーオブジェクトのCコード生成](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_solver_interface.ipynb)
+- [B章 ロトカ・ヴォルテラモデルに対する離散入力MPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_discrete_actuator.ipynb)
-* **3章 CasADi入門**
- * [3章 CasADiの基本](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter3.ipynb)
-* **4章 離散時間のモデル予測制御**
- * [4章 ロトカ・ヴォルテラモデルに対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter4.ipynb)
-* **5章 連続時間のモデル予測制御**
- * [5章 倒立振子に対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter5.ipynb)
-* **6章 モデル予測制御の実装に向けて**
- * [6章 直接的単一シューティング法と直接的多重シューティング法の比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_single_shooting.ipynb)
- * [6章 直接的コロケーション法と直接的多重シューティング法の比較(計算速度)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_collocation_cartpole.ipynb)
- * [6章 直接的コロケーション法と直接的多重シューティング法の比較(硬い状態方程式モデル)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_collocation_stiff.ipynb)
- * [6章 ウォームスタート](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_warm_start_experiment_solution_time.ipynb)
- * [6章 反復回数の制限](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_limit_iteration.ipynb)
-* **7章 CasADiにおける最適化ソルバーの比較**
- * [7章 マス・バネ・ダンバモデルを例に用いたIPOPTとOSQPの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_mass_spring_damper.ipynb)
- * [7章 2次元ドローンを例に用いたQPソルバーの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_2d_quadrotor.ipynb)
- * [7章 ゴム紐モデルを例に用いたNLPソルバーの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_chain_of_masses.ipynb)
-* **8章 状態推定問題と移動ホライズン推定**
- * [8章 リチウムイオン電池に対するMHE](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter8_LIB.ipynb)
- * [8章 CSTRに対するMPCxMHE](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter8_CSTR.ipynb)
-* **B章 CasADi中級**
- * [B章 acados(* Google Colabでの動作は行えません。)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_acados_getting_started.ipynb)
- * [B章 関数オブジェクトのCコード生成](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_function_object.ipynb)
- * [B章 ソルバーオブジェクトのCコード生成](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_solver_interface.ipynb)
- * [B章 ロトカ・ヴォルテラモデルに対する離散入力MPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_discrete_actuator.ipynb)
-## 本書で作成する制御のアニメーション例
+## 制御のアニメーション例
+本書では、以下のような制御のアニメーションを作成することができます。
* **倒立振子**
From 107e98971edd1027b369a4eb23aff38b9b104fe9 Mon Sep 17 00:00:00 2001
From: Toru Hishinuma
Date: Mon, 27 May 2024 11:32:18 +0900
Subject: [PATCH 08/17] =?UTF-8?q?acados=E4=BE=8B=E9=A1=8C=E3=81=AE?=
=?UTF-8?q?=E5=A4=89=E6=95=B0=E5=90=8D=E3=82=92=E6=96=B0=E3=81=97=E3=81=84?=
=?UTF-8?q?=E3=82=82=E3=81=AE=E3=81=AB=E5=90=88=E3=82=8F=E3=81=9B=E3=82=8B?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
src/chapterB_acados_getting_started.ipynb | 110 ++++++++++------------
1 file changed, 49 insertions(+), 61 deletions(-)
diff --git a/src/chapterB_acados_getting_started.ipynb b/src/chapterB_acados_getting_started.ipynb
index c8077a4..f26fac6 100644
--- a/src/chapterB_acados_getting_started.ipynb
+++ b/src/chapterB_acados_getting_started.ipynb
@@ -4,19 +4,7 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Collecting casadi==3.6.3\n",
- " Downloading casadi-3.6.3-cp310-none-manylinux2014_x86_64.whl.metadata (1.8 kB)\n",
- "Requirement already satisfied: numpy in /home/proxima/anaconda3/envs/work/lib/python3.10/site-packages (from casadi==3.6.3) (1.26.4)\n",
- "Downloading casadi-3.6.3-cp310-none-manylinux2014_x86_64.whl (67.5 MB)\n",
- "\u001b[2K \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m34.6/67.5 MB\u001b[0m \u001b[31m3.5 MB/s\u001b[0m eta \u001b[36m0:00:10\u001b[0m:10\u001b[0m"
- ]
- }
- ],
+ "outputs": [],
"source": [
"# !pip install casadi\n",
"!pip install casadi==3.6.3 # officially supported newest version by acados at the time of writing.\n",
@@ -29,10 +17,10 @@
"import matplotlib.patches as patches\n",
"from matplotlib.animation import FuncAnimation\n",
"\n",
- "os.makedirs('images',exist_ok=True)\n",
- "if os.name == 'nt':\n",
- " plt.rcParams['font.family'] = 'MS Gothic'\n",
- "elif os.name == 'posix':\n",
+ "os.makedirs(\"images\",exist_ok=True)\n",
+ "if os.name == \"nt\":\n",
+ " plt.rcParams[\"font.family\"] = \"MS Gothic\"\n",
+ "elif os.name == \"posix\":\n",
" !pip install japanize-matplotlib\n",
"\n",
"clear_output()"
@@ -131,7 +119,7 @@
" cost = (casadi.dot(Q@x,x) + casadi.dot(R@u,u)) / 2\n",
" return cost\n",
"\n",
- "def compute_final_cost(x):\n",
+ "def compute_terminal_cost(x):\n",
" cost = casadi.dot(Q_f@x,x) / 2\n",
" return cost"
]
@@ -145,8 +133,8 @@
"def make_nlp():\n",
" RK4 = make_RK4()\n",
"\n",
- " U = [casadi.SX.sym(f\"u_{i}\",nu) for i in range(K)]\n",
- " X = [casadi.SX.sym(f\"x_{i}\",nx) for i in range(K+1)]\n",
+ " U = [casadi.SX.sym(f\"u_{k}\",nu) for k in range(K)]\n",
+ " X = [casadi.SX.sym(f\"x_{k}\",nx) for k in range(K+1)]\n",
" G = []\n",
"\n",
" J = 0\n",
@@ -155,7 +143,7 @@
" J += compute_stage_cost(X[k],U[k])*dt\n",
" eq = X[k+1] - RK4(x=X[k],u=U[k])[\"x_next\"]\n",
" G.append(eq)\n",
- " J += compute_final_cost(X[-1])\n",
+ " J += compute_terminal_cost(X[-1])\n",
"\n",
" # option = {'print_time':False,'ipopt':{'print_level':0}}\n",
" option = {} # printオプションを有効化\n",
@@ -323,16 +311,16 @@
"Number of equality constraint Jacobian evaluations = 46\n",
"Number of inequality constraint Jacobian evaluations = 0\n",
"Number of Lagrangian Hessian evaluations = 44\n",
- "Total seconds in IPOPT = 0.043\n",
+ "Total seconds in IPOPT = 0.037\n",
"\n",
"EXIT: Optimal Solution Found.\n",
" S : t_proc (avg) t_wall (avg) n_eval\n",
- " nlp_f | 2.98ms ( 15.60us) 290.62us ( 1.52us) 191\n",
- " nlp_g | 15.27ms ( 79.94us) 1.49ms ( 7.82us) 191\n",
- " nlp_grad_f | 1.01ms ( 24.51us) 107.45us ( 2.62us) 41\n",
- " nlp_hess_l | 29.34ms (682.42us) 3.36ms ( 78.11us) 43\n",
- " nlp_jac_g | 12.18ms (259.09us) 1.35ms ( 28.65us) 47\n",
- " total | 437.09ms (437.09ms) 44.92ms ( 44.92ms) 1\n"
+ " nlp_f | 2.29ms ( 11.97us) 273.77us ( 1.43us) 191\n",
+ " nlp_g | 11.70ms ( 61.23us) 1.40ms ( 7.34us) 191\n",
+ " nlp_grad_f | 803.00us ( 19.59us) 101.46us ( 2.47us) 41\n",
+ " nlp_hess_l | 22.32ms (519.05us) 3.14ms ( 73.11us) 43\n",
+ " nlp_jac_g | 8.68ms (184.64us) 1.19ms ( 25.24us) 47\n",
+ " total | 291.19ms (291.19ms) 37.68ms ( 37.68ms) 1\n"
]
}
],
@@ -367,7 +355,7 @@
"\n",
"def export_cart_pole_model() -> AcadosModel:\n",
"\n",
- " model_name = 'cart_pole'\n",
+ " model_name = \"cart_pole\"\n",
" \n",
" f = make_f()\n",
" states = casadi.SX.sym(\"states\",nx)\n",
@@ -423,20 +411,20 @@
"\n",
"rm -f libacados_ocp_solver_cart_pole.so\n",
"rm -f cart_pole_cost/cart_pole_cost_ext_cost_0_fun.o cart_pole_cost/cart_pole_cost_ext_cost_0_fun_jac.o cart_pole_cost/cart_pole_cost_ext_cost_0_fun_jac_hess.o cart_pole_cost/cart_pole_cost_ext_cost_fun.o cart_pole_cost/cart_pole_cost_ext_cost_fun_jac.o cart_pole_cost/cart_pole_cost_ext_cost_fun_jac_hess.o cart_pole_cost/cart_pole_cost_ext_cost_e_fun.o cart_pole_cost/cart_pole_cost_ext_cost_e_fun_jac.o cart_pole_cost/cart_pole_cost_ext_cost_e_fun_jac_hess.o acados_solver_cart_pole.o\n",
- "cc -fPIC -std=c99 -O3 -I/home/hishinuma/acados/include -I/home/hishinuma/acados/include/acados -I/home/hishinuma/acados/include/blasfeo/include -I/home/hishinuma/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_0_fun.o cart_pole_cost/cart_pole_cost_ext_cost_0_fun.c\n",
- "cc -fPIC -std=c99 -O3 -I/home/hishinuma/acados/include -I/home/hishinuma/acados/include/acados -I/home/hishinuma/acados/include/blasfeo/include -I/home/hishinuma/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_0_fun_jac.o cart_pole_cost/cart_pole_cost_ext_cost_0_fun_jac.c\n",
- "cc -fPIC -std=c99 -O3 -I/home/hishinuma/acados/include -I/home/hishinuma/acados/include/acados -I/home/hishinuma/acados/include/blasfeo/include -I/home/hishinuma/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_0_fun_jac_hess.o cart_pole_cost/cart_pole_cost_ext_cost_0_fun_jac_hess.c\n",
- "cc -fPIC -std=c99 -O3 -I/home/hishinuma/acados/include -I/home/hishinuma/acados/include/acados -I/home/hishinuma/acados/include/blasfeo/include -I/home/hishinuma/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_fun.o cart_pole_cost/cart_pole_cost_ext_cost_fun.c\n",
- "cc -fPIC -std=c99 -O3 -I/home/hishinuma/acados/include -I/home/hishinuma/acados/include/acados -I/home/hishinuma/acados/include/blasfeo/include -I/home/hishinuma/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_fun_jac.o cart_pole_cost/cart_pole_cost_ext_cost_fun_jac.c\n",
- "cc -fPIC -std=c99 -O3 -I/home/hishinuma/acados/include -I/home/hishinuma/acados/include/acados -I/home/hishinuma/acados/include/blasfeo/include -I/home/hishinuma/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_fun_jac_hess.o cart_pole_cost/cart_pole_cost_ext_cost_fun_jac_hess.c\n",
- "cc -fPIC -std=c99 -O3 -I/home/hishinuma/acados/include -I/home/hishinuma/acados/include/acados -I/home/hishinuma/acados/include/blasfeo/include -I/home/hishinuma/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_e_fun.o cart_pole_cost/cart_pole_cost_ext_cost_e_fun.c\n",
- "cc -fPIC -std=c99 -O3 -I/home/hishinuma/acados/include -I/home/hishinuma/acados/include/acados -I/home/hishinuma/acados/include/blasfeo/include -I/home/hishinuma/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_e_fun_jac.o cart_pole_cost/cart_pole_cost_ext_cost_e_fun_jac.c\n",
- "cc -fPIC -std=c99 -O3 -I/home/hishinuma/acados/include -I/home/hishinuma/acados/include/acados -I/home/hishinuma/acados/include/blasfeo/include -I/home/hishinuma/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_e_fun_jac_hess.o cart_pole_cost/cart_pole_cost_ext_cost_e_fun_jac_hess.c\n",
- "cc -fPIC -std=c99 -O3 -I/home/hishinuma/acados/include -I/home/hishinuma/acados/include/acados -I/home/hishinuma/acados/include/blasfeo/include -I/home/hishinuma/acados/include/hpipm/include -c -o acados_solver_cart_pole.o acados_solver_cart_pole.c\n",
- "cc -fPIC -std=c99 -O3 -I/home/hishinuma/acados/include -I/home/hishinuma/acados/include/acados -I/home/hishinuma/acados/include/blasfeo/include -I/home/hishinuma/acados/include/hpipm/include -c -o cart_pole_model/cart_pole_expl_ode_fun.o cart_pole_model/cart_pole_expl_ode_fun.c\n",
- "cc -fPIC -std=c99 -O3 -I/home/hishinuma/acados/include -I/home/hishinuma/acados/include/acados -I/home/hishinuma/acados/include/blasfeo/include -I/home/hishinuma/acados/include/hpipm/include -c -o cart_pole_model/cart_pole_expl_vde_forw.o cart_pole_model/cart_pole_expl_vde_forw.c\n",
- "cc -fPIC -std=c99 -O3 -I/home/hishinuma/acados/include -I/home/hishinuma/acados/include/acados -I/home/hishinuma/acados/include/blasfeo/include -I/home/hishinuma/acados/include/hpipm/include -c -o cart_pole_model/cart_pole_expl_vde_adj.o cart_pole_model/cart_pole_expl_vde_adj.c\n",
- "cc -shared cart_pole_cost/cart_pole_cost_ext_cost_0_fun.o cart_pole_cost/cart_pole_cost_ext_cost_0_fun_jac.o cart_pole_cost/cart_pole_cost_ext_cost_0_fun_jac_hess.o cart_pole_cost/cart_pole_cost_ext_cost_fun.o cart_pole_cost/cart_pole_cost_ext_cost_fun_jac.o cart_pole_cost/cart_pole_cost_ext_cost_fun_jac_hess.o cart_pole_cost/cart_pole_cost_ext_cost_e_fun.o cart_pole_cost/cart_pole_cost_ext_cost_e_fun_jac.o cart_pole_cost/cart_pole_cost_ext_cost_e_fun_jac_hess.o acados_solver_cart_pole.o cart_pole_model/cart_pole_expl_ode_fun.o cart_pole_model/cart_pole_expl_vde_forw.o cart_pole_model/cart_pole_expl_vde_adj.o -o libacados_ocp_solver_cart_pole.so -L/home/hishinuma/acados/lib -lacados -lhpipm -lblasfeo -lm \\\n",
+ "/usr/lib/ccache/gcc -fPIC -std=c99 -O3 -I/home/proxima/acados/include -I/home/proxima/acados/include/acados -I/home/proxima/acados/include/blasfeo/include -I/home/proxima/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_0_fun.o cart_pole_cost/cart_pole_cost_ext_cost_0_fun.c\n",
+ "/usr/lib/ccache/gcc -fPIC -std=c99 -O3 -I/home/proxima/acados/include -I/home/proxima/acados/include/acados -I/home/proxima/acados/include/blasfeo/include -I/home/proxima/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_0_fun_jac.o cart_pole_cost/cart_pole_cost_ext_cost_0_fun_jac.c\n",
+ "/usr/lib/ccache/gcc -fPIC -std=c99 -O3 -I/home/proxima/acados/include -I/home/proxima/acados/include/acados -I/home/proxima/acados/include/blasfeo/include -I/home/proxima/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_0_fun_jac_hess.o cart_pole_cost/cart_pole_cost_ext_cost_0_fun_jac_hess.c\n",
+ "/usr/lib/ccache/gcc -fPIC -std=c99 -O3 -I/home/proxima/acados/include -I/home/proxima/acados/include/acados -I/home/proxima/acados/include/blasfeo/include -I/home/proxima/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_fun.o cart_pole_cost/cart_pole_cost_ext_cost_fun.c\n",
+ "/usr/lib/ccache/gcc -fPIC -std=c99 -O3 -I/home/proxima/acados/include -I/home/proxima/acados/include/acados -I/home/proxima/acados/include/blasfeo/include -I/home/proxima/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_fun_jac.o cart_pole_cost/cart_pole_cost_ext_cost_fun_jac.c\n",
+ "/usr/lib/ccache/gcc -fPIC -std=c99 -O3 -I/home/proxima/acados/include -I/home/proxima/acados/include/acados -I/home/proxima/acados/include/blasfeo/include -I/home/proxima/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_fun_jac_hess.o cart_pole_cost/cart_pole_cost_ext_cost_fun_jac_hess.c\n",
+ "/usr/lib/ccache/gcc -fPIC -std=c99 -O3 -I/home/proxima/acados/include -I/home/proxima/acados/include/acados -I/home/proxima/acados/include/blasfeo/include -I/home/proxima/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_e_fun.o cart_pole_cost/cart_pole_cost_ext_cost_e_fun.c\n",
+ "/usr/lib/ccache/gcc -fPIC -std=c99 -O3 -I/home/proxima/acados/include -I/home/proxima/acados/include/acados -I/home/proxima/acados/include/blasfeo/include -I/home/proxima/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_e_fun_jac.o cart_pole_cost/cart_pole_cost_ext_cost_e_fun_jac.c\n",
+ "/usr/lib/ccache/gcc -fPIC -std=c99 -O3 -I/home/proxima/acados/include -I/home/proxima/acados/include/acados -I/home/proxima/acados/include/blasfeo/include -I/home/proxima/acados/include/hpipm/include -c -o cart_pole_cost/cart_pole_cost_ext_cost_e_fun_jac_hess.o cart_pole_cost/cart_pole_cost_ext_cost_e_fun_jac_hess.c\n",
+ "/usr/lib/ccache/gcc -fPIC -std=c99 -O3 -I/home/proxima/acados/include -I/home/proxima/acados/include/acados -I/home/proxima/acados/include/blasfeo/include -I/home/proxima/acados/include/hpipm/include -c -o acados_solver_cart_pole.o acados_solver_cart_pole.c\n",
+ "/usr/lib/ccache/gcc -fPIC -std=c99 -O3 -I/home/proxima/acados/include -I/home/proxima/acados/include/acados -I/home/proxima/acados/include/blasfeo/include -I/home/proxima/acados/include/hpipm/include -c -o cart_pole_model/cart_pole_expl_ode_fun.o cart_pole_model/cart_pole_expl_ode_fun.c\n",
+ "/usr/lib/ccache/gcc -fPIC -std=c99 -O3 -I/home/proxima/acados/include -I/home/proxima/acados/include/acados -I/home/proxima/acados/include/blasfeo/include -I/home/proxima/acados/include/hpipm/include -c -o cart_pole_model/cart_pole_expl_vde_forw.o cart_pole_model/cart_pole_expl_vde_forw.c\n",
+ "/usr/lib/ccache/gcc -fPIC -std=c99 -O3 -I/home/proxima/acados/include -I/home/proxima/acados/include/acados -I/home/proxima/acados/include/blasfeo/include -I/home/proxima/acados/include/hpipm/include -c -o cart_pole_model/cart_pole_expl_vde_adj.o cart_pole_model/cart_pole_expl_vde_adj.c\n",
+ "/usr/lib/ccache/gcc -shared cart_pole_cost/cart_pole_cost_ext_cost_0_fun.o cart_pole_cost/cart_pole_cost_ext_cost_0_fun_jac.o cart_pole_cost/cart_pole_cost_ext_cost_0_fun_jac_hess.o cart_pole_cost/cart_pole_cost_ext_cost_fun.o cart_pole_cost/cart_pole_cost_ext_cost_fun_jac.o cart_pole_cost/cart_pole_cost_ext_cost_fun_jac_hess.o cart_pole_cost/cart_pole_cost_ext_cost_e_fun.o cart_pole_cost/cart_pole_cost_ext_cost_e_fun_jac.o cart_pole_cost/cart_pole_cost_ext_cost_e_fun_jac_hess.o acados_solver_cart_pole.o cart_pole_model/cart_pole_expl_ode_fun.o cart_pole_model/cart_pole_expl_vde_forw.o cart_pole_model/cart_pole_expl_vde_adj.o -o libacados_ocp_solver_cart_pole.so -L/home/proxima/acados/lib -lacados -lhpipm -lblasfeo -lm \\\n",
"-L -l\n",
"acados was compiled without OpenMP.\n"
]
@@ -452,10 +440,10 @@
"ocp.model = model\n",
"ocp.dims.N = K\n",
"\n",
- "ocp.cost.cost_type = 'EXTERNAL'\n",
- "ocp.cost.cost_type_e = 'EXTERNAL'\n",
+ "ocp.cost.cost_type = \"EXTERNAL\"\n",
+ "ocp.cost.cost_type_e = \"EXTERNAL\"\n",
"ocp.model.cost_expr_ext_cost = compute_stage_cost(model.x,model.u)\n",
- "ocp.model.cost_expr_ext_cost_e = compute_final_cost(model.x)\n",
+ "ocp.model.cost_expr_ext_cost_e = compute_terminal_cost(model.x)\n",
"\n",
"ocp.constraints.lbu = np.array(u_lb)\n",
"ocp.constraints.ubu = np.array(u_ub)\n",
@@ -463,21 +451,21 @@
"\n",
"ocp.constraints.x0 = state_init\n",
"\n",
- "ocp.solver_options.qp_solver = 'PARTIAL_CONDENSING_HPIPM'\n",
+ "ocp.solver_options.qp_solver = \"PARTIAL_CONDENSING_HPIPM\"\n",
"ocp.solver_options.qp_solver_cond_N = 5\n",
"\n",
- "ocp.solver_options.hpipm_mode = 'SPEED'\n",
- "# ocp.solver_options.hpipm_mode = 'BALANCE' \n",
- "# ocp.solver_options.hpipm_mode = 'ROBUST' \n",
+ "ocp.solver_options.hpipm_mode = \"SPEED\"\n",
+ "# ocp.solver_options.hpipm_mode = \"BALANCE\"\n",
+ "# ocp.solver_options.hpipm_mode = \"ROBUST\"\n",
"\n",
- "# ocp.solver_options.hessian_approx = 'EXACT'\n",
- "ocp.solver_options.hessian_approx = 'GAUSS_NEWTON' \n",
+ "# ocp.solver_options.hessian_approx = \"EXACT\"\n",
+ "ocp.solver_options.hessian_approx = \"GAUSS_NEWTON\"\n",
"\n",
- "ocp.solver_options.nlp_solver_type = 'SQP'\n",
- "ocp.solver_options.ext_fun_compile_flags = '-O3'\n",
+ "ocp.solver_options.nlp_solver_type = \"SQP\"\n",
+ "ocp.solver_options.ext_fun_compile_flags = \"-O3\"\n",
"\n",
"ocp.solver_options.tf = T\n",
- "ocp_solver = AcadosOcpSolver(ocp, json_file = 'acados_ocp.json')"
+ "ocp_solver = AcadosOcpSolver(ocp, json_file = \"acados_ocp.json\")"
]
},
{
@@ -489,7 +477,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "{'Tsim': 0.05, 'alpha_min': 0.05, 'alpha_reduction': 0.7, 'collocation_type': 'GAUSS_LEGENDRE', 'cost_discretization': 'EULER', 'custom_templates': [], 'custom_update_copy': True, 'custom_update_filename': '', 'custom_update_header_filename': '', 'eps_sufficient_descent': 0.0001, 'exact_hess_constr': 1, 'exact_hess_cost': 1, 'exact_hess_dyn': 1, 'ext_cost_num_hess': 0, 'ext_fun_compile_flags': '-O3', 'full_step_dual': 0, 'globalization': 'FIXED_STEP', 'globalization_use_SOC': 0, 'hessian_approx': 'GAUSS_NEWTON', 'hpipm_mode': 'SPEED', 'initialize_t_slacks': 0, 'integrator_type': 'ERK', 'levenberg_marquardt': 0.0, 'line_search_use_sufficient_descent': 0, 'model_external_shared_lib_dir': None, 'model_external_shared_lib_name': None, 'nlp_solver_ext_qp_res': 0, 'nlp_solver_max_iter': 100, 'nlp_solver_step_length': 1.0, 'nlp_solver_tol_comp': 1e-06, 'nlp_solver_tol_eq': 1e-06, 'nlp_solver_tol_ineq': 1e-06, 'nlp_solver_tol_stat': 1e-06, 'nlp_solver_type': 'SQP', 'print_level': 0, 'qp_solver': 'PARTIAL_CONDENSING_HPIPM', 'qp_solver_cond_N': 5, 'qp_solver_cond_ric_alg': 1, 'qp_solver_iter_max': 50, 'qp_solver_ric_alg': 1, 'qp_solver_tol_comp': None, 'qp_solver_tol_eq': None, 'qp_solver_tol_ineq': None, 'qp_solver_tol_stat': None, 'qp_solver_warm_start': 0, 'reg_epsilon': 0.0001, 'regularize_method': 'NO_REGULARIZE', 'shooting_nodes': [0.0, 0.05, 0.1, 0.15000000000000002, 0.2, 0.25, 0.3, 0.35, 0.39999999999999997, 0.44999999999999996, 0.49999999999999994, 0.5499999999999999, 0.6, 0.65, 0.7000000000000001, 0.7500000000000001, 0.8000000000000002, 0.8500000000000002, 0.9000000000000002, 0.9500000000000003, 1.0000000000000002], 'sim_method_jac_reuse': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'sim_method_newton_iter': 3, 'sim_method_newton_tol': 0.0, 'sim_method_num_stages': [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], 'sim_method_num_steps': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'tf': 1, 'time_steps': [0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05]}\n"
+ "{'Tsim': 0.05, 'adaptive_levenberg_marquardt_lam': 5.0, 'adaptive_levenberg_marquardt_mu0': 0.001, 'adaptive_levenberg_marquardt_mu_min': 1e-16, 'alpha_min': 0.05, 'alpha_reduction': 0.7, 'as_rti_iter': 1, 'as_rti_level': 4, 'collocation_type': 'GAUSS_LEGENDRE', 'cost_discretization': 'EULER', 'custom_templates': [], 'custom_update_copy': True, 'custom_update_filename': '', 'custom_update_header_filename': '', 'eps_sufficient_descent': 0.0001, 'exact_hess_constr': 1, 'exact_hess_cost': 1, 'exact_hess_dyn': 1, 'ext_cost_num_hess': 0, 'ext_fun_compile_flags': '-O3', 'fixed_hess': 0, 'full_step_dual': 0, 'globalization': 'FIXED_STEP', 'globalization_use_SOC': 0, 'hessian_approx': 'GAUSS_NEWTON', 'hpipm_mode': 'SPEED', 'initialize_t_slacks': 0, 'integrator_type': 'ERK', 'levenberg_marquardt': 0.0, 'line_search_use_sufficient_descent': 0, 'log_primal_step_norm': False, 'model_external_shared_lib_dir': None, 'model_external_shared_lib_name': None, 'nlp_solver_ext_qp_res': 0, 'nlp_solver_max_iter': 100, 'nlp_solver_step_length': 1.0, 'nlp_solver_tol_comp': 1e-06, 'nlp_solver_tol_eq': 1e-06, 'nlp_solver_tol_ineq': 1e-06, 'nlp_solver_tol_stat': 1e-06, 'nlp_solver_type': 'SQP', 'num_threads_in_batch_solve': 1, 'print_level': 0, 'qp_solver': 'PARTIAL_CONDENSING_HPIPM', 'qp_solver_cond_N': 5, 'qp_solver_cond_ric_alg': 1, 'qp_solver_iter_max': 50, 'qp_solver_ric_alg': 1, 'qp_solver_tol_comp': None, 'qp_solver_tol_eq': None, 'qp_solver_tol_ineq': None, 'qp_solver_tol_stat': None, 'qp_solver_warm_start': 0, 'reg_epsilon': 0.0001, 'regularize_method': 'NO_REGULARIZE', 'rti_log_residuals': 0, 'shooting_nodes': [0.0, 0.05, 0.1, 0.15000000000000002, 0.2, 0.25, 0.3, 0.35, 0.39999999999999997, 0.44999999999999996, 0.49999999999999994, 0.5499999999999999, 0.6, 0.65, 0.7000000000000001, 0.7500000000000001, 0.8000000000000002, 0.8500000000000002, 0.9000000000000002, 0.9500000000000003, 1.0000000000000002], 'sim_method_jac_reuse': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'sim_method_newton_iter': 3, 'sim_method_newton_tol': 0.0, 'sim_method_num_stages': [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], 'sim_method_num_steps': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'tf': 1, 'time_steps': [0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05], 'with_adaptive_levenberg_marquardt': False, 'with_solution_sens_wrt_params': False, 'with_value_sens_wrt_params': False}\n"
]
}
],
@@ -521,7 +509,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "total CPU time previous call : 0.002611\n",
+ "total CPU time previous call : 0.002203\n",
"\n",
"iter\tres_stat\tres_eq\t\tres_ineq\tres_comp\tqp_stat\tqp_iter\talpha\n",
"0\t3.141593e+01\t7.208271e-17\t1.500000e+01\t0.000000e+00\t0\t0\t0.000000e+00\t\n",
@@ -567,7 +555,7 @@
],
"source": [
"# see https://docs.acados.org/python_interface/index.html#acados_template.acados_ocp_solver.AcadosOcpSolver.get_stats\n",
- "print(\"total CPU time previous call :\",ocp_solver.get_stats('time_tot'))\n",
+ "print(\"total CPU time previous call :\",ocp_solver.get_stats(\"time_tot\"))\n",
"ocp_solver.print_statistics()"
]
},
@@ -596,8 +584,8 @@
],
"source": [
"u_traj_acados = np.ndarray((K, nu))\n",
- "for i in range(K):\n",
- " u_traj_acados[i,:] = ocp_solver.get(i, \"u\")\n",
+ "for k in range(K):\n",
+ " u_traj_acados[k,:] = ocp_solver.get(k, \"u\")\n",
"\n",
"timestamp = np.array(range(K))*dt\n",
"plt.plot(timestamp, u_traj_casadi,linewidth=3,label=\"casadi (chapter 5)\")\n",
@@ -633,7 +621,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.10.13"
+ "version": "3.10.12"
}
},
"nbformat": 4,
From 58a843fc208b0d98c017452a684b0c488b3eae6b Mon Sep 17 00:00:00 2001
From: "daisuke.aramaki" <92370011+da1996-04@users.noreply.github.com>
Date: Mon, 27 May 2024 13:37:29 +0900
Subject: [PATCH 09/17] Update readme.md
---
readme.md | 14 ++++----------
1 file changed, 4 insertions(+), 10 deletions(-)
diff --git a/readme.md b/readme.md
index c6d4b92..38bb51e 100644
--- a/readme.md
+++ b/readme.md
@@ -1,16 +1,10 @@
# 書籍『PythonとCasADiで学ぶモデル予測制御』サポートサイト
このページは書籍『PythonとCasADiで学ぶモデル予測制御』に関する情報を公開するページです。
-[](https://amzn.asia/d/8TwVTO3)
-
### 書籍の購入はこちら:
[Amazonで購入](https://amzn.asia/d/8TwVTO3)
-## 目次
-- [Google Colabへのリンク](#google-colabへのリンク)
-- [制御のアニメーション例](#制御のアニメーション例)
-- [リンク集](#リンク集)
-- [著者発信の情報](#著者発信の情報)
+[](https://amzn.asia/d/8TwVTO3)
## Google Colabへのリンク
ここでは、本書の各章に対応するGoogle Colabノートブックへのリンクを提供します。以下のリンクから直接実行可能です。
@@ -50,13 +44,13 @@
## 制御のアニメーション例
本書では、以下のような制御のアニメーションを作成することができます。
-* **倒立振子**
+### 倒立振子
-* **2次元ドローン**
+### 2次元ドローン
-* **ゴム紐**
+### ゴム紐
## リンク集
From 6804ad086512dc3ece9f41b35af0a9f413a5ed50 Mon Sep 17 00:00:00 2001
From: "daisuke.aramaki" <92370011+da1996-04@users.noreply.github.com>
Date: Mon, 27 May 2024 14:30:16 +0900
Subject: [PATCH 10/17] Update readme.md
---
readme.md | 22 +++++++++++-----------
1 file changed, 11 insertions(+), 11 deletions(-)
diff --git a/readme.md b/readme.md
index 38bb51e..493ef7a 100644
--- a/readme.md
+++ b/readme.md
@@ -13,10 +13,10 @@
- [3章 CasADiの基本](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter3.ipynb)
### 4章 離散時間のモデル予測制御
-- [4章 ロトカ・ヴォルテラモデルに対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter4.ipynb)
+- [4章6節 ロトカ・ヴォルテラモデルに対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter4.ipynb)
### 5章 連続時間のモデル予測制御
-- [5章 倒立振子に対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter5.ipynb)
+- [5章6節 倒立振子に対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter5.ipynb)
### 6章 モデル予測制御の実装に向けて
- [6章 直接的単一シューティング法と直接的多重シューティング法の比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_single_shooting.ipynb)
@@ -26,19 +26,19 @@
- [6章 反復回数の制限](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_limit_iteration.ipynb)
### 7章 CasADiにおける最適化ソルバーの比較
-- [7章 マス・バネ・ダンバモデルを例に用いたIPOPTとOSQPの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_mass_spring_damper.ipynb)
-- [7章 2次元ドローンを例に用いたQPソルバーの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_2d_quadrotor.ipynb)
-- [7章 ゴム紐モデルを例に用いたNLPソルバーの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_chain_of_masses.ipynb)
+- [7章2節 マス・バネ・ダンバモデルを例に用いたIPOPTとOSQPの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_mass_spring_damper.ipynb)
+- [7章3節 2次元ドローンを例に用いたQPソルバーの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_2d_quadrotor.ipynb)
+- [7章4節 ゴム紐モデルを例に用いたNLPソルバーの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_chain_of_masses.ipynb)
### 8章 状態推定問題と移動ホライズン推定
-- [8章 リチウムイオン電池に対するMHE](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter8_LIB.ipynb)
-- [8章 CSTRに対するMPCxMHE](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter8_CSTR.ipynb)
+- [8章4節 リチウムイオン電池に対するMHE](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter8_LIB.ipynb)
+- [8章5節 CSTRに対するMPCxMHE](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter8_CSTR.ipynb)
### B章 CasADi中級
-- [B章 acados(* Google Colabでの動作は行えません。)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_acados_getting_started.ipynb)
-- [B章 関数オブジェクトのCコード生成](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_function_object.ipynb)
-- [B章 ソルバーオブジェクトのCコード生成](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_solver_interface.ipynb)
-- [B章 ロトカ・ヴォルテラモデルに対する離散入力MPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_discrete_actuator.ipynb)
+- [B章4節 acados(* Google Colabでの動作は行えません。)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_acados_getting_started.ipynb)
+- [B章2節2項 関数オブジェクトのCコード生成](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_function_object.ipynb)
+- [B章2節3項 ソルバーオブジェクトのCコード生成](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_solver_interface.ipynb)
+- [B章6節 ロトカ・ヴォルテラモデルに対する離散入力MPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_discrete_actuator.ipynb)
## 制御のアニメーション例
From f686f2b6501997c6fcc0ee199a5fbd12144c2ae1 Mon Sep 17 00:00:00 2001
From: Toru Hishinuma <92719065+th1991-01@users.noreply.github.com>
Date: Mon, 27 May 2024 17:03:34 +0900
Subject: [PATCH 11/17] Update readme.md
---
readme.md | 10 +++++-----
1 file changed, 5 insertions(+), 5 deletions(-)
diff --git a/readme.md b/readme.md
index 493ef7a..65b555a 100644
--- a/readme.md
+++ b/readme.md
@@ -19,11 +19,11 @@
- [5章6節 倒立振子に対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter5.ipynb)
### 6章 モデル予測制御の実装に向けて
-- [6章 直接的単一シューティング法と直接的多重シューティング法の比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_single_shooting.ipynb)
-- [6章 直接的コロケーション法と直接的多重シューティング法の比較(計算速度)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_collocation_cartpole.ipynb)
-- [6章 直接的コロケーション法と直接的多重シューティング法の比較(硬い状態方程式モデル)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_collocation_stiff.ipynb)
-- [6章 ウォームスタート](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_warm_start_experiment_solution_time.ipynb)
-- [6章 反復回数の制限](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_limit_iteration.ipynb)
+- [6章2節2項 直接的単一シューティング法と直接的多重シューティング法の比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_single_shooting.ipynb)
+- [6章2節3項 直接的コロケーション法と直接的多重シューティング法の比較(計算速度)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_collocation_cartpole.ipynb)
+- [6章2節3項 直接的コロケーション法と直接的多重シューティング法の比較(硬い状態方程式モデル)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_collocation_stiff.ipynb)
+- [6章4節1項 ウォームスタート](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_warm_start_experiment_solution_time.ipynb)
+- [6章4節1項 反復回数の制限](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_limit_iteration.ipynb)
### 7章 CasADiにおける最適化ソルバーの比較
- [7章2節 マス・バネ・ダンバモデルを例に用いたIPOPTとOSQPの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_mass_spring_damper.ipynb)
From 3a0699c89ef14ad6c1b5a19cfde7b3cef6463400 Mon Sep 17 00:00:00 2001
From: "daisuke.aramaki" <92370011+da1996-04@users.noreply.github.com>
Date: Mon, 27 May 2024 17:11:28 +0900
Subject: [PATCH 12/17] Update readme.md
---
readme.md | 5 +++++
1 file changed, 5 insertions(+)
diff --git a/readme.md b/readme.md
index 65b555a..d33c23a 100644
--- a/readme.md
+++ b/readme.md
@@ -4,6 +4,8 @@
### 書籍の購入はこちら:
[Amazonで購入](https://amzn.asia/d/8TwVTO3)
+[版元ドットコム](https://www.hanmoto.com/bd/isbn/9784065356111)
+
[](https://amzn.asia/d/8TwVTO3)
## Google Colabへのリンク
@@ -58,6 +60,9 @@
### Amazon
[単行本](https://www.amazon.co.jp/Python%E3%81%A8CasADi%E3%81%A7%E5%AD%A6%E3%81%B6%E3%83%A2%E3%83%87%E3%83%AB%E4%BA%88%E6%B8%AC%E5%88%B6%E5%BE%A1-KS%E7%90%86%E5%B7%A5%E5%AD%A6%E5%B0%82%E9%96%80%E6%9B%B8-%E6%B7%B1%E6%B4%A5-%E5%8D%93%E5%BC%A5/dp/4065356113)
+### 版元ドットコム
+[版元ドットコム](https://www.hanmoto.com/bd/isbn/9784065356111)
+
### 参考資料
[サポートサイト](https://github.com/proxima-technology/casadi_mpc_nyuumon)
From 837403b00032df5d7b7c9e794392639d775a783e Mon Sep 17 00:00:00 2001
From: "daisuke.aramaki" <92370011+da1996-04@users.noreply.github.com>
Date: Mon, 27 May 2024 17:16:07 +0900
Subject: [PATCH 13/17] Create _config.yaml
---
_config.yaml | 2 ++
1 file changed, 2 insertions(+)
create mode 100644 _config.yaml
diff --git a/_config.yaml b/_config.yaml
new file mode 100644
index 0000000..3ee9ad1
--- /dev/null
+++ b/_config.yaml
@@ -0,0 +1,2 @@
+plugins:
+ - jekyll-sitemap
From 603b97ee86497cb8c6e7bb23874f57da091232ed Mon Sep 17 00:00:00 2001
From: "daisuke.aramaki" <92370011+da1996-04@users.noreply.github.com>
Date: Mon, 27 May 2024 17:16:44 +0900
Subject: [PATCH 14/17] Rename _config.yaml to _config.yml
---
_config.yaml => _config.yml | 0
1 file changed, 0 insertions(+), 0 deletions(-)
rename _config.yaml => _config.yml (100%)
diff --git a/_config.yaml b/_config.yml
similarity index 100%
rename from _config.yaml
rename to _config.yml
From 8603f0ad184b67129ae022f417e93e3f30457c05 Mon Sep 17 00:00:00 2001
From: "daisuke.aramaki" <92370011+da1996-04@users.noreply.github.com>
Date: Mon, 27 May 2024 17:19:29 +0900
Subject: [PATCH 15/17] Add files via upload
---
google6c54bbb9fe6d9d62.html | 1 +
1 file changed, 1 insertion(+)
create mode 100644 google6c54bbb9fe6d9d62.html
diff --git a/google6c54bbb9fe6d9d62.html b/google6c54bbb9fe6d9d62.html
new file mode 100644
index 0000000..d418707
--- /dev/null
+++ b/google6c54bbb9fe6d9d62.html
@@ -0,0 +1 @@
+google-site-verification: google6c54bbb9fe6d9d62.html
\ No newline at end of file
From a4eb2e40c425277f505b6dc8e12c9f835d65704b Mon Sep 17 00:00:00 2001
From: "daisuke.aramaki" <92370011+da1996-04@users.noreply.github.com>
Date: Tue, 28 May 2024 23:29:54 +0900
Subject: [PATCH 16/17] Update readme.md
---
readme.md | 2 ++
1 file changed, 2 insertions(+)
diff --git a/readme.md b/readme.md
index d33c23a..a7e6a03 100644
--- a/readme.md
+++ b/readme.md
@@ -64,6 +64,8 @@
[版元ドットコム](https://www.hanmoto.com/bd/isbn/9784065356111)
### 参考資料
+[CasADi公式](https://web.casadi.org/)
+
[サポートサイト](https://github.com/proxima-technology/casadi_mpc_nyuumon)
### 著者発信の情報
From 87226bcf635f577595d0b5ff51bda84a02f52eef Mon Sep 17 00:00:00 2001
From: "daisuke.aramaki" <92370011+da1996-04@users.noreply.github.com>
Date: Wed, 29 May 2024 13:04:53 +0900
Subject: [PATCH 17/17] Update readme.md
---
readme.md | 34 +++++++++++++++++-----------------
1 file changed, 17 insertions(+), 17 deletions(-)
diff --git a/readme.md b/readme.md
index a7e6a03..b0c842b 100644
--- a/readme.md
+++ b/readme.md
@@ -12,35 +12,35 @@
ここでは、本書の各章に対応するGoogle Colabノートブックへのリンクを提供します。以下のリンクから直接実行可能です。
### 3章 CasADi入門
-- [3章 CasADiの基本](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter3.ipynb)
+- **3.3~3.7** [CasADiの基本](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter3.ipynb)
### 4章 離散時間のモデル予測制御
-- [4章6節 ロトカ・ヴォルテラモデルに対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter4.ipynb)
+- **4.6** [ロトカ・ヴォルテラモデルに対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter4.ipynb)
### 5章 連続時間のモデル予測制御
-- [5章6節 倒立振子に対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter5.ipynb)
+- **5.6** [倒立振子に対するMPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter5.ipynb)
### 6章 モデル予測制御の実装に向けて
-- [6章2節2項 直接的単一シューティング法と直接的多重シューティング法の比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_single_shooting.ipynb)
-- [6章2節3項 直接的コロケーション法と直接的多重シューティング法の比較(計算速度)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_collocation_cartpole.ipynb)
-- [6章2節3項 直接的コロケーション法と直接的多重シューティング法の比較(硬い状態方程式モデル)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_collocation_stiff.ipynb)
-- [6章4節1項 ウォームスタート](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_warm_start_experiment_solution_time.ipynb)
-- [6章4節1項 反復回数の制限](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_limit_iteration.ipynb)
+- **6.2.2** [直接的単一シューティング法と直接的多重シューティング法の比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_single_shooting.ipynb)
+- **6.2.3** [直接的コロケーション法と直接的多重シューティング法の比較(計算速度)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_collocation_cartpole.ipynb)
+- **6.2.3** [直接的コロケーション法と直接的多重シューティング法の比較(硬い状態方程式モデル)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_collocation_stiff.ipynb)
+- **6.4.1** [ウォームスタート](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_warm_start_experiment_solution_time.ipynb)
+- **6.4.1** [反復回数の制限](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter6_limit_iteration.ipynb)
### 7章 CasADiにおける最適化ソルバーの比較
-- [7章2節 マス・バネ・ダンバモデルを例に用いたIPOPTとOSQPの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_mass_spring_damper.ipynb)
-- [7章3節 2次元ドローンを例に用いたQPソルバーの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_2d_quadrotor.ipynb)
-- [7章4節 ゴム紐モデルを例に用いたNLPソルバーの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_chain_of_masses.ipynb)
+- **7.2** [マス・バネ・ダンバモデルを例に用いたIPOPTとOSQPの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_mass_spring_damper.ipynb)
+- **7.3** [2次元ドローンを例に用いたQPソルバーの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_2d_quadrotor.ipynb)
+- **7.4** [ゴム紐モデルを例に用いたNLPソルバーの比較](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter7_chain_of_masses.ipynb)
### 8章 状態推定問題と移動ホライズン推定
-- [8章4節 リチウムイオン電池に対するMHE](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter8_LIB.ipynb)
-- [8章5節 CSTRに対するMPCxMHE](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter8_CSTR.ipynb)
+- **8.4** [リチウムイオン電池に対するMHE](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter8_LIB.ipynb)
+- **8.5** [CSTRに対するMPCxMHE](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapter8_CSTR.ipynb)
### B章 CasADi中級
-- [B章4節 acados(* Google Colabでの動作は行えません。)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_acados_getting_started.ipynb)
-- [B章2節2項 関数オブジェクトのCコード生成](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_function_object.ipynb)
-- [B章2節3項 ソルバーオブジェクトのCコード生成](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_solver_interface.ipynb)
-- [B章6節 ロトカ・ヴォルテラモデルに対する離散入力MPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_discrete_actuator.ipynb)
+- **B.2.2** [関数オブジェクトのCコード生成](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_function_object.ipynb)
+- **B.2.3** [ソルバーオブジェクトのCコード生成](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_codegen_solver_interface.ipynb)
+- **B.4** [acados(* Google Colabでの動作は行えません。)](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_acados_getting_started.ipynb)
+- **B.6** [ロトカ・ヴォルテラモデルに対する離散入力MPC](https://colab.research.google.com/github/proxima-technology/casadi_mpc_nyuumon/blob/master/src/chapterB_discrete_actuator.ipynb)
## 制御のアニメーション例