mathworks / Nonlinear-Model-Predictive-Control-Using-Koopman-OperatorLinks
This document explains the implementation of the Koopman Operator in conjunction with Model Predictive Control (MPC) to control a nonlinear system.
☆14Updated 5 months ago
Alternatives and similar repositories for Nonlinear-Model-Predictive-Control-Using-Koopman-Operator
Users that are interested in Nonlinear-Model-Predictive-Control-Using-Koopman-Operator are comparing it to the libraries listed below
Sorting:
- Simple examples for Event-triggered control for network controlled system☆84Updated 2 years ago
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆21Updated 2 years ago
- A. Selivanov and E. Fridman, “Event-Triggered H-infinity Control: a Switching Approach,” IEEE Transactions on Automatic Control, vol. 61,…☆41Updated 8 years ago
- This repository includes some simulation examples for the prescribed-time control applied to several mechanical and aerospace systems☆10Updated 3 years ago
- Adaptive Finite Time Smooth Nonlinear Sliding Mode Tracking Control for Surface Vessels with Uncertainties and Disturbances☆23Updated 3 years ago
- We propose a novel data-driven optimal adaptive fault-tolerant control method for path tracking control.☆22Updated last year
- This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation☆11Updated last year
- a new observer-based adaptive fuzzy integral sliding mode controller (AFISMC) is proposed based on the Lyapunov stability theorem. The pl…☆70Updated 5 years ago
- This is a official code implementation for Nonlinear RISE based Integral Reinforcement Learning algorithms for perturbed Bilateral Teleop…☆20Updated 4 months ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆24Updated 2 years ago
- code☆14Updated 3 years ago
- a disturbance rejection-based solution to the problem of robust output regulation of linear systems. The difference between the underlyin…☆37Updated 5 years ago
- ☆14Updated last year
- qwq321qwq / Nonsingular-fast-terminal-sliding-mode-control-for-nonlinear-dynamical-systems-simulationthe Matlab function of the paper☆10Updated 3 years ago
- ☆6Updated last year
- This paper presents a data-driven control design framework to achieve robust tracking control without exploiting mathematical model of no…☆31Updated 3 years ago
- PID, LQR, Feedback Linearization, Backstepping, Sliding Mode, and Model Reference Adaptive Control for 6-DoF Robot Control☆107Updated 10 months ago
- Code for the book☆73Updated 2 years ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆12Updated 2 years ago
- Published in Nature Communications: Model-free tracking control of complex dynamical trajectories with machine learning.☆29Updated last year
- Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CA…☆17Updated last year
- ☆16Updated last year
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆20Updated 2 years ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆28Updated last year
- Neural network-based (NN) Model Predictive Control (MPC) algorithm to control a multi-agent system (MAS) with stochastic communication to…☆92Updated 2 years ago
- ☆21Updated 3 years ago
- craigmax-dev / Integrated-Model-Predictive-Fuzzy-Control-for-Disaster-Victim-Detection-Path-Planning-in-MATLABThis project consists of a simulation of a search-and-rescue environment for discrete path-planning of agents using a Fuzzy Inference Sys…☆14Updated 6 months ago
- A path following simulation for autonomous surface vehicle on Matlab/Simulink☆29Updated 2 years ago
- The simulation of the book "Aircraft Control Allocation". https://www.wiley.com/en-us/Aircraft+Control+Allocation-p-9781118827796☆14Updated last month
- In this project, an observer in the form of a stable neural network is proposed for any nonlinear MIMO system. As a result of experience,…☆18Updated 3 years ago