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The field of autonomous vehicles has been a great topic of research for many researchers. In this paper, we are presenting a model predictive control (MPC) approach for controlling an active front steering system in an autonomous vehicle.

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advaitp/Predictive-Active-Steering-Control-for-Autonomous-Vehicle-Systems

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Predictive-Active-Steering-Control-for-Autonomous-Vehicle-Systems

Steps to run the simulations

Procedure to run the Controller A

Step 1: Open the main.m file in Controller A's folder and run it on MATLAB. The system model should open.
Step 2: After the moddel opens, run the model in simulink.
Step 3: To view results, double click on the individual scope to view graphs.

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Procedure to run the Controller B

Step 1: Open the main.m file in Controller B's folder and run it on MATLAB. The system model should open.
Step 2: After the moddel opens, run the model in simulink.
Step 3: To view results, double click on the individual scope to view graphs.

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Procedure to run the Controller C

Step 1: Open the main.m file in Controller C's folder and run it on MATLAB. The system model should open.
Step 2: After the moddel opens, run the model in simulink.
Step 3: To view results, double click on the individual scope to view graphs.

rc

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The field of autonomous vehicles has been a great topic of research for many researchers. In this paper, we are presenting a model predictive control (MPC) approach for controlling an active front steering system in an autonomous vehicle.

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