luistapia007's repositories
Polytopic-SLSMPC
Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.
2021
Materials for Applied Data Analysis CS-401, Fall 2021
AA203-Examples
Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
acados
Fast and embedded solvers for nonlinear optimal control
all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
AROC
Toolbox for Automated Controller Synthesis
casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
data-driven-set-based-estimation-zonotopes
MATLAB code for our paper on data driven set-based estimation using matrix zonotopes with set containment guarantees.
dl-mpc-sls
Code needed to reproduce the examples found in the various works published on Distributed and Localized Model Predictive Control via System Level Synthesis, by C. Amo Alonso, S. J. Li, F. Yang, J. Anderson and N. Matni.
how-to-read-pytorch
Quick, visual, principled introduction to pytorch code through five colab notebooks.
Lectures-on-Network-Systems
Scripts for Lectures on Network Systems - Francesco Bullo
Lumped-Uncertainty-SLS-MPC
Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.
ML_course
EPFL Machine Learning Course, Fall 2021
neuronaldynamics-exercises
Python exercises accompanying the book "Neuronal Dynamics"
NMPC-DCLF-DCBF
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
NumericsOfML
Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
numpy-100
100 numpy exercises (with solutions)
OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
probabilistic_robotics
solution of exercises of the book "probabilistic robotics"
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
RTD_tutorial
Get started with Reachability-based Trajectory Design for static obstacles
ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
Trajectory-tracking-for-vehicle
Vehicle path following using the MPC or LQR algorithm
Tube-Robust-MPC-with-Uncertainty-Quantification
This is the MATLAB code for tube robust MPC with uncertainty quantification