bawalla2 / TNNLS-2022--CT-RL-Optimal-Control
Contains all research-related code for publications by Brent Wallace, Arizona State University
☆13Updated 2 years ago
Alternatives and similar repositories for TNNLS-2022--CT-RL-Optimal-Control
Users that are interested in TNNLS-2022--CT-RL-Optimal-Control are comparing it to the libraries listed below
Sorting:
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆18Updated 2 years ago
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆14Updated 6 years ago
- Codes reproducing paper Jongeun Choi, Songhwai Oh, Roberto Horowitz, Distributed learning and cooperative control for multi-agent systems…☆21Updated 3 years ago
- ☆20Updated 2 years ago
- Model-free event-triggered optimal control with performance guarantees via goal representation heuristic dynamic programming☆14Updated 3 years ago
- A MATLAB Class for convenient ADP simulation☆23Updated 7 years ago
- ADP☆9Updated 8 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 5 years ago
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆18Updated last year
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆23Updated last year
- We present a new comparative study of the paper from Hansson and Boyd Robust Optimal Control of Linear Discrete-Time Systems using Primal…☆13Updated 5 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆21Updated 3 years ago
- PeymanMawlani1993 / Adaptive-Neural-Control-of-Uncertain-MIMO-Nonlinear-Pure-Feedback-Systems-via-Quantized-Statesthis repository is a control system implemntion in Matlab which is proposed by BYUNG MO KIM et al.☆9Updated 2 years ago
- A data-driven method for linear quadratic control with state and control constraints☆11Updated 2 years ago
- ☆47Updated 3 years ago
- H_inf tracking control for linear discrete-time systems using ADP☆10Updated 4 years ago
- Data-driven attitude control design for multirotor UAVs☆17Updated 8 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago
- paper code of "Adaptive feedforward RBF neural network control with the deterministic persistence of excitation"☆10Updated 3 years ago
- course project: a simple implementation of Q learning and MPC☆17Updated 3 years ago
- Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"☆12Updated last year
- We propose a novel data-driven optimal adaptive fault-tolerant control method for path tracking control.☆16Updated 9 months ago
- ☆7Updated last year
- A. Selivanov and E. Fridman, “Event-Triggered H-infinity Control: a Switching Approach,” IEEE Transactions on Automatic Control, vol. 61,…☆37Updated 8 years ago
- Joint work of Tsinghua University and the University of Adelaide☆10Updated last year
- Code needed to reproduce the examples found in the various works published on Distributed and Localized Model Predictive Control via Syst…☆51Updated last year
- ☆16Updated last year
- This research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control i…☆17Updated 5 months ago
- MATLAB simulation codes for article entitled ``Fault Tolerant Periodic Event-triggered Consensus Under Communication Delay and Multiple A…☆13Updated 3 years ago
- ☆9Updated 7 years ago