Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
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Updated
Jun 21, 2022 - Python
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
iterative Linear Quadratic Regulator with constraints.
libmpc++ is a C++ header-only library to solve linear and non-linear MPC
Model Predictive Controller for Autonomous Driving implemented using ROS and C++
Master's Thesis Project: Design, Development, Modelling and Simulating of a Y6 Multi-Rotor UAV, Imlementing Control Schemes such as Proportional Integral Derivative Control, Linear Quadratic Gaussian Control and Model Predictive Control on a BeagleBone Blue
This repository has the code for the nonlinear model predictive controller for target tracking problems with the use of Casadi framework and Matlab simulation environment. 🏎️
Robot Controls Course Project
A path following differential drive robot controlled using a PID controller and Model Predictive Controller (MPC)
This is MPC (model predictive controller) that can predict steering and throttle to drive in a simulator.
Linear MPC for Lane Keeping and Obstacle Avoidance on Low Curvature Roads - Paper Application
MPC controllers for temperature regulation of a building. Graded project for the ETH course "Model Predictive Control".
This repository contains lecture notes, solved problems, and simulation software on control systems in general.
Control steer and throttle of UGV to track the reference path based on model predictive controller
A Report on Model Predictive Control Implementation
Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CAC), Beijing, China, 2021, pp. 394-399, doi: 10.1109/CAC53003.2021.9728233.
This study explores using RL for CSTR control, assessing effectiveness vs. traditional controllers (PID, MPC). RL learns optimal behavior to maximize rewards, outperforming NMPC with exploration and lower computational load.
Graphical user interface for designing and simulating model predictive control using MATLAB and the Multi-Parametric Toolbox 3
Model Predictive Control implemented in C++
Using deep learning to predict the motion of a MPC-controlled vehicle
Príklady pre knihu "Základy prediktívneho riadenia" // Examples for the book "Basics of Predictive Control" (in Slovak)
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