| Full text | |
| Author(s): |
Odorico, Elizandra K.
;
Rocha, Kaio D. T.
;
Terra, Marco H.
Total Authors: 3
|
| Document type: | Journal article |
| Source: | IFAC PAPERSONLINE; v. 52, n. 18, p. 6-pg., 2019-01-01. |
| Abstract | |
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) | |
| FAPESP's process: | 17/16346-4 - Communication network fault tolerant control for coordinated movement of heterogeneous robots |
| Grantee: | Kaio Douglas Teófilo Rocha |
| Support Opportunities: | Scholarships in Brazil - Doctorate (Direct) |
| 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 |