This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation

Koopman-based data-driven control with closed-loop guarantees

This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).

Data and code for pre-processed Sentinel-2 time series

Code for riggedDMD: generalized eigenfunction expansions (and spectral measures) of Koopman operators

无人机动态覆盖控制；1. 实现了一个无人机点覆盖环境；2. 给出了无人机连通保持规则；3. 给出了基于MARL的控制算法

Lightweight version of MAPPO to help you quickly migrate to your local environment.

Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CAC), Beijing, China, 2021, pp. 394-399, doi: 10.1109/CAC53003…

code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"

Companion code for System Norm Regularization Methods for Koopman Operator Approximation

Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"

Fault-Tolerant Neural CBF

Reference signal tracking via MPC, where non-linear system dynamics (from Burgers' PDE) are converted to Linear one using Koopman Operator Theory.

Code for "Dynamics Harmonics Analysis of Robotic Systems: Application in Data-Driven Koopman Modeling", enabling the modeling of symmetric dynamical systems with decomposed Koopman operators per ea…

整理所有的项目

Transformers for modeling physical systems

Companion code for Closed-Loop Koopman Operator Approximation

Paper Code

A short foray into Optimal Guidance and Control Schemes for Spacecraft Rendezvous. The main one demonstrated is that of Zanetti.

Three projects that use linear control techniques to control a mass-spring-damper, a plane altitude control, and an orbital rendezvous of two spacecraft

MPC control for the SpaceX Dragon spacecraft as it rendezvous with the ISS.

Rapid Exploration with Multiple Unmanned Aerial Vehicles (UAV)

A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints

Simulate position and attitude control of a SPHERES satellite in formation using a vectorized Dynamic Programming approach