Data-Driven, Nonparametric, Adaptive Control Theory

Data-Driven, Nonparametric, Adaptive Control Theory introduces a novel approach to the control of deterministic, nonlinear ordinary differential equations affected by uncertainties. The methods proposed enforce satisfactory trajectory tracking despite functional uncertainties in the plant model. The...

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Bibliografiske detaljer

Main Authors:	Kurdila, Andrew J. (Author), L'Afflitto, Andrea (Author), Burns, John A. (Author)
Institution som forfatter:	SpringerLink (Online service)
Format:	Electronisk eBog
Sprog:	engelsk
Udgivet:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Udgivelse:	1st ed. 2025.
Serier:	Lecture Notes in Control and Information Sciences, 495
Fag:	System theory. Control theory. Control engineering. Functional analysis. Systems Theory, Control. Control and Systems Theory. Functional Analysis.
Online adgang:	https://doi.org/10.1007/978-3-031-78003-5
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