nonlinear-control

Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control

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

An open source model predictive control and moving horizon estimation package for Julia

Adaptive importance sampling modification to MPPI

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

Non-linear model predictive control (NMPC) library

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

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

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

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

Implementation of Some Control Algorithms on a QuadCopter.

Tutorials on Control Theory

Randomized MPC on the GPU: gradient-free control of single-input systems with non-smooth, hybrid or nonconvex models.

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

Robust and nonlinear Direct Data-Driven MPC controllers for LTI and nonlinear systems in Python

CasMuMPC - MPC with CasADi and MuJoCo

Safe Control for Nonlinear Systems