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 6 years ago
- Edge Reinforcement Learning for Motor Control☆15Updated last year
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆44Updated 3 years ago
- A data-driven method for linear quadratic control with state and control constraints☆13Updated 3 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆84Updated last year
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆20Updated 3 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆27Updated 3 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆88Updated 5 years ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆53Updated 6 years ago
- Continuous-time system identification with neural networks☆27Updated 4 months ago
- Adaptive dynamic programming（ADP） 自适应动态规划☆46Updated 5 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆53Updated 6 years ago
- Adaptive Dynamic Programming Algorithms and Simulations☆16Updated 4 years ago
- Approximate dynamic programming for stochastic optimal control in Pytorch☆23Updated 2 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.☆12Updated 2 years ago
- H_inf tracking control for linear discrete-time systems using ADP☆11Updated 5 years ago
- ADP☆10Updated 8 years ago
- ☆17Updated 2 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆13Updated 9 months ago
- ☆15Updated last year
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆15Updated 2 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆20Updated 3 years ago
- ☆32Updated 6 years ago
- ☆47Updated 4 years ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆17Updated 2 years ago
- Model-free event-triggered optimal control with performance guarantees via goal representation heuristic dynamic programming☆15Updated 3 years ago
- Gym Interface Wrapper for Simulink Models☆21Updated 9 months ago
- Adaptive dynamic programming☆136Updated 4 months ago
- Source code for examples in Book "Robust Adaptive Dynamic Programming"☆142Updated 2 years ago