Ahmed-ElTahan / Recursive-Least-Squares-with-Exponential-ForgettingLinks
This function is intended to estimate the parameters of a dynamic system of unknown time varying parameters using the Recursive Least Squares with Exponential Forgetting Method (RLS).
☆11Updated 9 years ago
Alternatives and similar repositories for Recursive-Least-Squares-with-Exponential-Forgetting
Users that are interested in Recursive-Least-Squares-with-Exponential-Forgetting are comparing it to the libraries listed below
Sorting:
- Super Twisting Sliding Mode control for Quadrotor Fault Tolerance☆40Updated 4 years ago
- ☆17Updated 2 years ago
- a disturbance rejection-based solution to the problem of robust output regulation of linear systems. The difference between the underlyin…☆39Updated 5 years ago
- The reproduction of tube-based MPC for nonlinear systems☆55Updated last year
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆57Updated 7 years ago
- This project was part of my Masters thesis. Objective was the design and development of a novel hybrid Sub-Optimal Sliding Mode Controll…☆22Updated 5 years ago
- a new observer-based adaptive fuzzy integral sliding mode controller (AFISMC) is proposed based on the Lyapunov stability theorem. The pl…☆71Updated 5 years ago
- Matlab software, papers, and presentations relating to concurrent learning and gaussian process MRAC☆22Updated 8 years ago
- Data-Driven Predictive Control☆81Updated last year
- Code for robust tube MPC simulation☆20Updated 7 years ago
- Simulink implementation of iterative learning control (ILC)☆22Updated 4 years ago
- Learning-Based Model Predictive Control (LBMPC)☆113Updated 6 years ago
- created a smc(sliding mode control) controller for a motor (for smc learning)☆73Updated 4 years ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆72Updated 4 months ago
- Published in Nature Communications: Model-free tracking control of complex dynamical trajectories with machine learning.☆32Updated last month
- Code for paper: Adaptive Neural Network Control of a Robotic Manipulator With Backlash hysteresis. http://ieeexplore.ieee.org/document/7…☆28Updated 5 years ago
- PID, LQR, Feedback Linearization, Backstepping, Sliding Mode, and Model Reference Adaptive Control for 6-DoF Robot Control☆128Updated last year
- adaptive fuzzy sliding mode control for robot manipulator☆80Updated 3 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆29Updated 4 years ago
- This document explains the implementation of the Koopman Operator in conjunction with Model Predictive Control (MPC) to control a nonline…☆30Updated 11 months ago
- Adaptive Sliding Mode Control☆117Updated 8 months ago
- Implementations of Control (PID, LQ, MPC, ...) and AI (fuzzy logic, Q-learner, SARSA, ...) algorithms☆83Updated 7 years ago
- RBF神经网络自适应控制的相关代码,具体可参考 Liu J K. Radial Basis Function Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulat…☆48Updated 5 years ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆28Updated last year
- Simple examples for Event-triggered control for network controlled system☆88Updated 3 years ago
- • Devised model-based non-linear control design for a 2-link robot using Simulink and simulated Exact Model Knowledge (EMK), Adaptive …☆15Updated 3 years ago
- ☆36Updated 5 years ago
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆24Updated 2 years ago
- Code for the book☆78Updated 2 years ago
- This repository contains classwork and practice examples based on Model Predictive Control. Robust and Stochastic control methods applied…☆59Updated 3 years ago