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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Linear quadratic networked control of uncertain polytopic systems

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Autor(es):
Braga, Marcio F. ; Morais, Cecilia F. ; Tognetti, Eduardo S. ; Oliveira, Ricardo C. L. F. ; Peres, Pedro L. D.
Número total de Autores: 5
Tipo de documento: Artigo Científico
Fonte: INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL; v. 26, n. 11, p. 2299-2313, JUL 25 2016.
Citações Web of Science: 2
Resumo

This paper investigates the problem of designing robust linear quadratic regulators for uncertain polytopic continuous-time systems over networks subject to delays. The main contribution is to provide a procedure to determine a discrete-time representation of the weighting matrices associated to the quadratic criterion and an accurate discretized model, in such a way that a robust state feedback gain computed in the discrete-time domain assures a guaranteed quadratic cost to the closed-loop continuous-time system. The obtained discretized model has matrices with polynomial dependence on the uncertain parameters and an additive norm-bounded term representing the approximation residual error. A strategy based on linear matrix inequality relaxations is proposed to synthesize, in the discrete-time domain, a digital robust state feedback control law that stabilizes the original continuous-time system assuring an upper bound to the quadratic cost of the closed-loop system. The applicability of the proposed design method is illustrated through a numerical experiment. Copyright (C) 2015 John Wiley \& Sons, Ltd. (AU)

Processo FAPESP: 14/22881-1 - Controle de sistemas chaveados, sujeitos a saltos markovianos e outras classes de sistemas híbridos usando LMIs
Beneficiário:Cecília de Freitas Morais
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
Processo FAPESP: 14/25112-9 - Controle e filtragem ótimos de sistemas politópicos discretizados
Beneficiário:Marcio Feliciano Braga
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado