A Convex Approach to Data-Driven Optimal Control via Perron-Frobenius and Koopman Operators

This article is about the data-driven computation of optimal control for a class of control affine deterministic nonlinear systems. We assume that the control dynamical system model is not available, and the only information about the system dynamics is available in the form of time-series data. We...

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Veröffentlicht in:	IEEE transactions on automatic control Jg. 67; H. 9; S. 4778 - 4785
Hauptverfasser:	Huang, Bowen, Vaidya, Umesh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.09.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Approximation algorithms Computational geometry Control systems Convex optimization Convexity data-driven control Dynamic stability Dynamical systems Heuristic algorithms linear operator approach Markov processes Nonlinear control Nonlinear systems Numerical stability Optimal control Optimization Stability criteria System dynamics
ISSN:	0018-9286, 1558-2523
Online-Zugang:	Volltext
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