Busca avançada
Ano de início
Entree


Recursive Estimation for Discrete-Time Markovian Jump Singular Systems with Random State Delays

Texto completo
Autor(es):
Odorico, Elizandra K. ; Rocha, Kaio D. T. ; Terra, Marco H.
Número total de Autores: 3
Tipo de documento: Artigo Científico
Fonte: IFAC PAPERSONLINE; v. 52, n. 18, p. 6-pg., 2019-01-01.
Resumo

This paper deals with the estimation problem for discrete-time Markovian jump singular systems with known random state delays. By application of the lifting method and modeling of time-varying delay as a mode-dependent Markov chain, the system with random delay is converted to an augmented delay-free Markovian jump singular system. A recursive predictive estimator is obtained by means of the weighted least-squares estimation approach. The proposed solution is given in terms of Riccati equations presented in a square matrix framework. The effectiveness of the proposed estimator is demonstrated with a numerical example. Copyright (C) 2019. The Authors. Published by Elsevier Ltd. All rights reserved. (AU)

Processo FAPESP: 17/16346-4 - Controle tolerante a falhas de rede de comunicação para o movimento coordenado de robôs heterogêneos
Beneficiário:Kaio Douglas Teófilo Rocha
Modalidade de apoio: Bolsas no Brasil - Doutorado Direto
Processo FAPESP: 14/50851-0 - INCT 2014: Instituto Nacional de Ciência e Tecnologia para Sistemas Autônomos Cooperativos Aplicados em Segurança e Meio Ambiente
Beneficiário:Marco Henrique Terra
Modalidade de apoio: Auxílio à Pesquisa - Temático