VNOpenAI / OpenControlLinks
OpenControl is a python package that implements basic algorithms for the analysis and design of optimal feedback controllers.
☆15Updated 4 years ago
Alternatives and similar repositories for OpenControl
Users that are interested in OpenControl are comparing it to the libraries listed below
Sorting:
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 5 years ago
- A data-driven method for linear quadratic control with state and control constraints☆12Updated 2 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆24Updated 3 years ago
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆20Updated 3 years ago
- Edge Reinforcement Learning for Motor Control☆15Updated 11 months ago
- Matlab Source for fundamental adaptive critic designs☆9Updated 12 years ago
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆42Updated 3 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆74Updated 9 months ago
- Adaptive dynamic programming(ADP) 自适应动态规划☆46Updated 4 years ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆96Updated 4 years ago
- Approximate dynamic programming for stochastic optimal control in Pytorch☆22Updated last year
- ☆14Updated last year
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆51Updated 6 years ago
- Approximate Dynamic Programming exercises from Powell (2011)☆15Updated 2 years ago
- Implementation of Incremental Heuristic Dynamic Programming with Neural Networks as Actor and Critic function appoximators.☆11Updated 2 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆23Updated 2 years ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆49Updated 6 years ago
- ☆16Updated 2 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆21Updated 5 years ago
- A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al t…☆12Updated 4 years ago
- ADP☆10Updated 8 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆17Updated last year
- Adaptive Dynamic Programming Algorithms and Simulations☆15Updated 4 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆15Updated 2 years ago
- Approximate Dynamic Programming and Reinforcement Learning - Programming Assignment☆10Updated 6 years ago
- ☆13Updated last year
- Gym Interface Wrapper for Simulink Models☆18Updated 5 months ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago
- H_inf tracking control for linear discrete-time systems using ADP☆10Updated 5 years ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆16Updated 2 years ago