Pinned Repositories
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
AICC-I
CS-101 Advanced information, computation, communication I
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.
DMPC_for_platoons
MPC-and-MHE-implementation-in-MATLAB-using-Casadi
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/p
Polytopic-SLSMPC
Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.
luistapia007's Repositories
luistapia007/Polytopic-SLSMPC
Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.
luistapia007/2021
Materials for Applied Data Analysis CS-401, Fall 2021
luistapia007/AA203-Examples
Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
luistapia007/acados
Fast and embedded solvers for nonlinear optimal control
luistapia007/all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
luistapia007/AROC
Toolbox for Automated Controller Synthesis
luistapia007/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.
luistapia007/control-in-networked-vehicles
luistapia007/data-driven-set-based-estimation-zonotopes
MATLAB code for our paper on data driven set-based estimation using matrix zonotopes with set containment guarantees.
luistapia007/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.
luistapia007/how-to-read-pytorch
Quick, visual, principled introduction to pytorch code through five colab notebooks.
luistapia007/Learning-adaptive-reactive-robot-control-book-code
luistapia007/Lectures-on-Network-Systems
Scripts for Lectures on Network Systems - Francesco Bullo
luistapia007/Lumped-Uncertainty-SLS-MPC
Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.
luistapia007/ML_course
EPFL Machine Learning Course, Fall 2021
luistapia007/neuronaldynamics-exercises
Python exercises accompanying the book "Neuronal Dynamics"
luistapia007/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)
luistapia007/NumericsOfML
Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
luistapia007/numpy-100
100 numpy exercises (with solutions)
luistapia007/OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
luistapia007/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
luistapia007/prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
luistapia007/probabilistic_robotics
solution of exercises of the book "probabilistic robotics"
luistapia007/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
luistapia007/reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
luistapia007/RTD_tutorial
Get started with Reachability-based Trajectory Design for static obstacles
luistapia007/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
luistapia007/Trajectory-tracking-for-vehicle
Vehicle path following using the MPC or LQR algorithm
luistapia007/tube-mpc
luistapia007/Tube-Robust-MPC-with-Uncertainty-Quantification
This is the MATLAB code for tube robust MPC with uncertainty quantification