A Least-Squares Control Strategy for Asymptotic Tracking and Disturbance Rejection Using Tikhonov Regularization and Cascade Iteration

This paper presents a comprehensive strategy for addressing tracking and disturbance rejection for both lumped and distributed parameter systems, focusing on infinite-dimensional input and output spaces. Building on the geometric theory of regulation, the proposed methodology employs a cascade algor...

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Autori principali:	Eugenio Aulisa, Andrea Chierici, David S. Gilliam
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-11-01
Serie:	Mathematics
Soggetti:	asymptotic least-squares tracking infinite-dimensional input and output spaces Tikhonov regularization cascade iteration
Accesso online:	https://www.mdpi.com/2227-7390/13/22/3707
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