mpc

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

etlp - Emby/Jellyfin 调用外部本地播放器，并回传播放记录。适配 Plex。

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

Deep RL for MPC control of Quadruped Robot Locomotion

Official implementation for the paper "Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing". DIAL-MPC is a novel sampling-based MPC framework for legged robot full-order torque-level control with both precision and agility in a training-free manner.

A Python library for running thousands of MuJoCo simulations in parallel on CPU

Python codes for advanced control

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

MPyC: Multiparty Computation in Python

控制算法，状态、输出反馈控制。ADRC自抗扰控制，抗积分饱和PID控制，增量式PID控制，模糊FuzzyPID控制，线性二次型调节器LQR控制，线性二次型积分器LQI控制，迭代iLQR控制，模型预测MPC控制，AI智能控制，启发算法控制，强化学习SAC、PPO控制，无人机、机器人、小车轨迹跟踪控制

Implementation of the real-time MPC based on iLQR in Carla simulator

Safety-critical controllers for single/multi robotic navigation: CBF-QP, MPC-CBF, and etc.

iterative Linear Quadratic Regulator with support for constraints on input and state variables via barrier functions—Numba-accelerated.

MPC implementations integrated with with PX4 on ROS2

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

Model Predictive Control with discrete-time Control Barrier Functions (MPC-CBF) for a wheeled mobile robot.

An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC

This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python

[RA-L 2023, 2025] Model predictive control and trajectory optimization for fast nonprehensile object transportation with a mobile manipulator.

State-of-the-art method for model-based dexterous manipulation