| Full text | |
| Author(s): |
Carvalho, Leonardo de Paula
;
de Oliveira, Andre Marcorin
;
do Valle Costa, Oswaldo Luiz
Total Authors: 3
|
| Document type: | Journal article |
| Source: | IFAC PAPERSONLINE; v. 51, n. 25, p. 6-pg., 2018-01-01. |
| Abstract | |
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) | |
| FAPESP's process: | 15/09912-8 - Estimating and control of Markov jump linear systems with partial observation of the operation mode |
| Grantee: | André Marcorin de Oliveira |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 14/50279-4 - Brasil Research Centre for Gas Innovation |
| Grantee: | Julio Romano Meneghini |
| Support Opportunities: | Research Grants - Research Centers in Engineering Program |
| FAPESP's process: | 14/50851-0 - INCT 2014: National Institute of Science and Technology for Cooperative Autonomous Systems Applied in Security and Environment |
| Grantee: | Marco Henrique Terra |
| Support Opportunities: | Research Projects - Thematic Grants |