Use este identificador para citar o ir al link de este elemento:
http://hdl.handle.net/1843/57001
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 |
Resumen: | 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. |
Asunto: | Engenharia Mecânica Matemática |
Idioma: | por |
País: | Brasil |
Editor: | Universidade Federal de Minas Gerais |
Sigla da Institución: | UFMG |
Departamento: | ENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA |
Tipo de acceso: | Acesso Aberto |
Identificador DOI: | https://doi.org/10.1049/iet-cta.2018.5543 |
URI: | http://hdl.handle.net/1843/57001 |
Fecha del 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 en las colecciones: | Artigo de Periódico |
archivos asociados a este elemento:
archivo | Descripción | Tamaño | Formato | |
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Constrained robust model predicted control.pdf | 9.37 MB | Adobe PDF | Visualizar/Abrir |
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