wenjianhao / Deep-Koopman-learning-of-nonlinear-time-varying-systems
☆13Updated 10 months ago
Alternatives and similar repositories for Deep-Koopman-learning-of-nonlinear-time-varying-systems:
Users that are interested in Deep-Koopman-learning-of-nonlinear-time-varying-systems are comparing it to the libraries listed below
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆11Updated 2 years ago
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆13Updated last year
- This repository contains the code for the method presented in the paper "Safe Data-Driven Model Predictive Control of Systems with Comple…☆11Updated 2 years ago
- ☆14Updated 4 years ago
- The nonlinear MPC scheme with guaranteed maximal terminal region based stability☆11Updated 3 years ago
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆33Updated last year
- ☆16Updated last year
- H_inf tracking control for linear discrete-time systems using ADP☆10Updated 4 years ago
- A data-driven method for linear quadratic control with state and control constraints☆11Updated 2 years ago
- Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CA…☆16Updated last year
- ☆16Updated 2 years ago
- Tube-certified nonlinear tracking with robust control contraction metrics☆26Updated last year
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆20Updated last year
- Data Driven Model Predictive Control using Gaussian Processes☆21Updated 7 months ago
- Matlab class/functions to simulate a system implementing a control Lyapunov-control barrier function quadratic program controller.☆42Updated last year
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- The reproduction of tube-based MPC for nonlinear systems☆45Updated 11 months ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆18Updated 2 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆21Updated 3 years ago
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆16Updated 2 years ago
- ☆9Updated 7 years ago
- ☆13Updated last year
- Learning-based robust tube based MPC of nonlinear systems via difference of convex radial basis functions☆13Updated 9 months ago
- ☆18Updated 4 years ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆27Updated 11 months ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated last year
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆17Updated 2 years ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆59Updated 6 months ago
- Research on autonomous gait learning of a snake robot, involving Gaussian process regression(GPR) and model predictive control(MPC).☆2Updated last year