Robust regulation of discrete-time systems subject to parameter uncertainties and state delay

This paper deals with the robust recursive regulation problem of uncertain discrete-time linear systems subject to unknown state delays. The variation rate between two consecutive delays is considered bounded. The parameter matrices are affected by norm-bounded uncertainties. Applying the lifting me...

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Bibliographic Details
Published inAutomatica (Oxford) Vol. 156; p. 111179
Main Authors Odorico, Elizandra K., Terra, Marco H.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.10.2023
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Summary:This paper deals with the robust recursive regulation problem of uncertain discrete-time linear systems subject to unknown state delays. The variation rate between two consecutive delays is considered bounded. The parameter matrices are affected by norm-bounded uncertainties. Applying the lifting method and modeling the delay as a Markov chain, systems with state delays are converted to augmented delay-free Markovian jump linear systems. Then, a robust recursive linear quadratic regulator is obtained, solving an optimization problem through robust regularized least-squares approaches. The solution is given in terms of algebraic Riccati equations. We assess the proposed regulator through a numerical example and compare its performance with other robust control approaches.
ISSN:0005-1098
1873-2836
DOI:10.1016/j.automatica.2023.111179