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Tipo:	Artigo de Periódico
Título:	Constrained robust model predicted control of discrete-time Markov jump linear systems
Autor(es):	Rosileide de Oliveira Lopes Eduardo Mazoni Andrade Marçal Mendes Leonardo Antonio Borges Torres Reinaldo Martinez Palhares
Resumo:	This study is concerned with the problem of designing a robust model predictive control (MPC) for a class of uncertain discrete-time Markov jump linear systems. The main contribution is a set of linear matrix inequality (LMI) conditions obtained under new control policies for the unconstrained as well as the constrained MPC when uncertainties are present both in the system's matrices and in the transition probabilities of the modes. For the constrained MPC, hard constraints are considered over the input control and the states and results are extended to the so-called multi-step mode-dependent state-feedback control design. To illustrate the improvements obtained with the new set of LMI conditions, numerical simulations are carried out and compared with a recent reference in the literature.
Assunto:	Engenharia Mecânica Matemática
Idioma:	por
País:	Brasil
Editor:	Universidade Federal de Minas Gerais
Sigla da Instituição:	UFMG
Departamento:	ENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
Tipo de Acesso:	Acesso Aberto
Identificador DOI:	https://doi.org/10.1049/iet-cta.2018.5543
URI:	http://hdl.handle.net/1843/57001
Data do documento:	2019
metadata.dc.url.externa:	https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-cta.2018.5543
metadata.dc.relation.ispartof:	IET Control Theory & Applications
Aparece nas coleções:	Artigo de Periódico

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