Control theory deals with the control of dynamical systems in engineered processes and machines. The objective is to develop a control model for controlling such systems using a control action in an optimum manner without delay or overshoot and ensuring control stability.
+-- control-theory
| +-- MPC
| | +--- command-governor
| | +--- model-predictive-control
| | +--- reference-governor/servo-mechanism
| +-- automatic-controls
| | +--- DLQR-design
| | +--- LQI-design
| | +--- LQI-gain-scheduling
| | +--- PID-gain-scheduling
| | +--- aerospace-feedbacks
| | +--- classical-controls
| | +--- explicit-and-implicit-integrators
| +-- differential-algebraic-equation
| | +--- consistency
| | +--- optimization
| | +--- simulation
| +-- linearisation-simulation
| | +--- symbolic-linearization
| +-- miscellaneous-casADi
| | +--- HSL-library
| | +--- code-generation
| | +--- demo
| | +--- doc
| | +--- simulink-interface
| +-- newton-methods
| +-- nmpc-acado
| | +--- inverted-pendulum-set-point
| | +--- magnetic-levitator
| | +--- vertical-take-off-landing-aircraft
| +-- non-linear-programming
| +-- optimal-control
| | +--- direct-collocation
| | +--- direct-multiple-shooting
| | +--- direct-single-multiple-shooting-fmincon
| | +--- direct-single-shooting
| | +--- dynamic-programming
| +-- parameter-estimation
| | +--- casadi
| | +--- matlab
| | +--- optistack
| +-- virtual-sensing
| +-- .gitignore
| +-- README.md