Koopman Data-Driven Predictive Control with Robust Stability and Recursive Feasibility Guarantees

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Y. Lian, R. Wang, and C. N. Jones, “Koopman based data-driven predictive control,” 2021

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X. Zhang, W. Pan, R. Scattolini, S. Yu, and X. Xu, “Robust tube-based model predictive control with koopman operators,” Automatica , vol. 137, p. 110114, 2022

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J. Köhler, K. P. Wabersich, J. Berberich, and M. N. Zeilinger, “State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs?” in 2022 IEEE 61st Conference on Decision and Control (CDC) . IEEE, 2022, pp. 491–498

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J. Köhler and M. N. Zeilinger, “Recursively feasible stochastic predictive control using an interpolating initial state constraint,” IEEE Control Systems Letters , vol. 6, pp. 2743–2748, 2022

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