H∞-Optimal Control via Game-Theoretic Differential Dynamic Programming and Gaussian Processes

In this paper, we present a nonlinear H ∞ -optimal control algorithm for a system whose dynamics can be described by the summation of two terms: a known function obtained from system modeling and an unknown function that represents the model error induced by the disturbance and the noise that are no...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of optimization theory and applications Jg. 204; H. 3; S. 40
Hauptverfasser:	Sun, Wei, Trafalis, Theodore B.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2025 Springer Nature B.V
Schlagworte:	Algorithms Applications of Mathematics Artificial neural networks Calculus of Variations and Optimal Control; Optimization Control algorithms Control systems Control theory Differential games Dynamic programming Engineering Game theory Gaussian process H-infinity control Machine learning Mathematics Mathematics and Statistics Noise control Nonlinear control Nonlinear dynamics Operations Research/Decision Theory Optimal control Optimization Theory of Computation Zero sum games control Gaussian process Differential game Differential dynamic programming
ISSN:	0022-3239, 1573-2878
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!