wenjianhao / Deep-Koopman-learning-of-nonlinear-time-varying-systemsLinks
☆15Updated last year
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
Sorting:
- This repository contains the code for the method presented in the paper "Safe Data-Driven Model Predictive Control of Systems with Comple…☆12Updated 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…☆19Updated last year
- This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation☆11Updated last year
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆13Updated 2 years ago
- A data-driven method for linear quadratic control with state and control constraints☆12Updated 3 years ago
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆14Updated last year
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆44Updated last year
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆19Updated 3 years ago
- ☆15Updated 2 years ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆29Updated last year
- H_inf tracking control for linear discrete-time systems using ADP☆11Updated 5 years ago
- This repository contains simulation codes generated for the paper titled "Comparative Analysis of Data-Driven Predictive Control Strategi…☆12Updated 2 weeks ago
- ☆24Updated last year
- ☆14Updated 5 years ago
- ☆11Updated 7 years ago
- Data Driven Model Predictive Control using Gaussian Processes☆26Updated last year
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆21Updated 3 years ago
- Code needed to reproduce the examples found in the various works published on Distributed and Localized Model Predictive Control via Syst…☆51Updated 2 years ago
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆16Updated 2 years ago
- Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"☆14Updated last year
- The nonlinear MPC scheme with guaranteed maximal terminal region based stability☆10Updated 3 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
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆18Updated 2 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆25Updated 3 years ago
- A collection of code examples for different Data-driven Predictive Control algorithms applied to LTI systems.☆17Updated last year
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆22Updated 2 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 6 years ago
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆68Updated last year
- Data-Driven Predictive Control☆77Updated last year
- ☆21Updated 3 years ago