Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/337381
Type: Artigo
Title: Differential linear matrix inequality in optimal sampled-data control
Author: Geromel, Jose C.
Colaneri, Patrizio
Bolzern, Paolo
Abstract: This paper addresses the design of optimal sampled-data output feedback full order controllers for linear continuous-time invariant systems. First, H-2 and H-infinity performance indices are determined and expressed through differential linear matrix inequalities (DLMIs). Second, in each scenario, the optimal sampled-data controller of the aforementioned class is determined from a convex programming problem expressed by DLMIs. Theoretical achievements are based on the direct application of the celebrated Bellman's Principle of Optimality expressed in terms of the dynamic programming equation associated to the time interval corresponding to two successive sampling instants. The design problems to be dealt with are convex and are solved by converting all constraints to LMI and adopting a piecewise linear solution. The possibility of aperiodic sampling is considered and briefly discussed. Finally, academic examples are solved for illustration. (C) 2018 Elsevier Ltd. All rights reserved
Subject: Sistemas lineares
Country: Reino Unido
Editor: Elsevier
Rights: Fechado
Identifier DOI: 10.1016/j.automatica.2018.11.021
Address: https://www.sciencedirect.com/science/article/pii/S0005109818305533
Date Issue: 2019
Appears in Collections:FEEC - Artigos e Outros Documentos

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