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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.

cbf-clf-helper

Matlab Interface for Control Barrier Function (CBF) and Control Lyapunov Function (CLF) based control methods.

control-in-networked-vehicles

cs189-su18

data-driven-set-based-estimation-zonotopes

MATLAB code for our paper on data driven set-based estimation using matrix zonotopes with set containment guarantees.

deepul

distributedsafelearning

Safe Learning for Distributed Systems with Bounded Uncertainties

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.

dmpc

Distributed Model Predictive Control Toolbox

dmpc_for_platoons

dynamical-systems-with-applications-using-python

Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch

ee6225

EE6225 Process Control

essential-math

Lab files for Essential Math course

how-to-read-pytorch

Quick, visual, principled introduction to pytorch code through five colab notebooks.

hw3_public

UC Berkley Neural Network Homework

hw4_student

UC Berkley Neural Network Homework

learning-adaptive-reactive-robot-control-book-code

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

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

mpc-cbf

"Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function" by J. Zeng, B. Zhang and K. Sreenath https://arxiv.org/abs/2007.11718

mpc-tutorial

This is the MATLAB code for a brief tutorial for Model Predictive Control (MPC) for a linear discrete-time system with constrained states and inputs.

mpc_code

Model Predictive Control for autonomous vehicle trajectory tracking control, in Matlab.