Constrained robust model predicted control of discrete-time Markov jump linear systems
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Universidade Federal de Minas Gerais
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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.
Abstract
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Engenharia Mecânica, Matemática
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Controle, Controle de Processos, Controle Preditivo Baseado em Modelo (MPC), Sistemas com saltos Markovianos, Controle Robusto, LMIs
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https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-cta.2018.5543