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Model Predictive Control Lecture

This repository stores my programming exercises for the Model Predict Control lecture (151-0660-00) at ETH Zurich in Spring 2019. My cheatsheet for the final exam is also included in doc. In this project, model predictive control methods were applied to find the best inputs given certain constraints and requirements. The problem description and my report can be found under doc.

Evaluation

  • Full grade granted

Requirement

  • MATLAB
  • Yalmip
  • FORCES Pro (for controller_mpc_1_forces.m)

Usage

  • Run run_simulations.munder src folder.

  • To test different methods, pass the method name as the second argument to the function simulate_truck.

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Model Predictive Control Lecture (151-0660-00) Spring 2019 Programming Exercise

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