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This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is based on the Casadi Package which is used for numerical optimization. A non-holonomic mobile robot is used as a system for the implementation. The workshop video recording can be found here https://www.youtube.com/playlist?list=PLK8squHT_Uzej3UCUHjtOtm5X7pMFSgAL ... Casadi can be downloaded here https://web.casadi.org/

Home Page: https://www.youtube.com/playlist?list=PLK8squHT_Uzej3UCUHjtOtm5X7pMFSgAL

MATLAB 92.87% Python 7.13%

mpc-and-mhe-implementation-in-matlab-using-casadi's Introduction

Hi 👋, I'm Andres Chavez Armijos

I am Ph.D. Candidate in Systems Engineering at Boston University working on Distributed Control for Smart Cities under the supervision of Dr. Christos Cassandras

chaveza9

  • 🔭 I’m currently working on Learning Safety Enhanced Controllers for dealing with human driven vehicles

  • 🌱 I’m currently learning Jax, Game theory, learning-based optimization, to cook?

  • 👯 I’m looking to collaborate on learning-based control for safety critical systems

  • 🤖 Passionate about Robots

  • 👨‍💻 All of my projects are available at https://chavezarmijosa.wixsite.com/chaveza9

  • 📫 How to reach me aschavez[at]bu[dot].edu

  • 📄 Know about my experiences https://www.linkedin.com/in/andreschavezarmijos/

  • ⚡ Fun fact Obsessed with pizza

Connect with me:

andreschavezarmijos @andreschavezarmijos406

Languages and Tools:

c cplusplus git linux matlab python pytorch tensorflow

chaveza9

 chaveza9

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