Robust Fault Detection H-infinity Filter for Markovian Jump Linear Systems with Partial Information on the Jump Parameter

Autor(es)

Carvalho, Leonardo de Paula ; de Oliveira, Andre Marcorin ; do Valle Costa, Oswaldo Luiz

• Tipo de documento: Artigo Científico
• Fonte: IFAC PAPERSONLINE; v. 51, n. 25, p. 6-pg., 2018-01-01.

Resumo

The present work focus on the Robust Fault Detection (RFD) problem in the Markovian Jump Linear System framework for the discrete-time domain, in which the Markov parameter theta(k) is considered not accessible. The assumption that the Markov Chain is not accessible brings a challenge where the filter designed for the RFD should not be dependent on the Markov Chain parameter. In order to represent this kind of situation, the implementation of a Hidden Markov Chain to model the system mode theta(k) and the estimated mode theta(k) is used. The main result presented in this work is the design of a H-infinity MJLS Robust Fault Detection filter that depends only on the estimated mode theta(k) obtained through LMI formulation. In order to illustrate the feasibility of the proposed solution a numerical example is also included. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. (AU)

• Processo FAPESP: 15/09912-8 - Estimação e controle de sistemas lineares com saltos markovianos com observação parcial do modo de operação
• Beneficiário: André Marcorin de Oliveira
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 14/50279-4 - Brasil Research Centre for Gas Innovation
• Beneficiário: Julio Romano Meneghini
• Modalidade de apoio: Auxílio à Pesquisa - Programa Centros de Pesquisa em Engenharia
• 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