PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

An open source model predictive control package for Julia.

Adaptive importance sampling modification to MPPI

Robust control tutorial by Purdue SMART Lab: Sliding Mode Control (SMC) with MATLAB/Simulink example implementation

LQR-RRT* method is used for random motion planning of a simple pendulum in it's phase plot

Non-linear model predictive control (NMPC) library

Light-weight C++ library for fast embedded nonlinear optimisation and optimal control

Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach

Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.

A modular and scalable simulation framework for ultra-rapid prototyping of self-adaptive, stochastic and robust Nonlinear Model Predictive Control for Autonomous Vehicle Motion Control

Tutorials on Control Theory

MIT Spring 2020 Mechanical Engineering 2.152 Nonlinear Control (Professor Jean-Jacques Slotine)

Safe Control for Nonlinear Systems

Nonlinear controls, linear controls, Lyapunov-based controls, MPC, geometric, etc.

ODESCA is a MATLAB tool for the creation and analysis of dynamic systems described by ordinary differential equations

Modeling, Planning and Nonlinear Control Techniques For Autonomous Vehicles 🎛️🚘

Mostly software recreations of published works.

Lecture notes and simulation software on the courses and book by Hanspeter Schaub.

This document explains the implementation of the Koopman Operator in conjunction with Model Predictive Control (MPC) to control a nonlinear system.