Robust Model Predictive Control with Data-Driven Koopman Operators

Author:

Mamakoukas Giorgos1,Di Cairano Stefano1,Vinod Abraham P.1

Affiliation:

1. Mitsubishi Electric Research Laboratories,Cambridge,MA,USA,02139

Publisher

IEEE

Reference54 articles.

1. Sparsity-promoting algorithms for the discovery of informative Koopman-invariant subspaces

2. Learning Koopman invariant subspaces for dynamic mode decomposition;takeishi;Neural Info Proc Syst,2017

3. Robust learning-based MPC for nonlinear constrained systems

4. A robust adaptive model predictive control framework for nonlinear uncertain systems;köhler;Int’l J Robust Nonlin Ctrl,2020

5. Data-driven model predictive control with stability and robustness guarantees;berberich;IEEE Trans Automat Ctrl,2020

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1. Koopman-Based Hybrid Modeling and Zonotopic Tube Robust MPC for Motion Control of Automated Vehicles;IEEE Transactions on Intelligent Transportation Systems;2024

2. Parameter-Varying Koopman Operator for Nonlinear System Modeling and Control;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

3. Data-Driven Koopman-based Modeling and Control of Quadcopter in a Turbulent Wind Field;2023 IEEE Conference on Control Technology and Applications (CCTA);2023-08-16

4. Online Model Predictive Control of Robot Manipulator With Structured Deep Koopman Model;IEEE Robotics and Automation Letters;2023-05

5. Vehicular Applications of Koopman Operator Theory—A Survey;IEEE Access;2023

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