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http://hdl.handle.net/11144/3427
Título: | Self-Triggered and Event-Triggered Set-Valued Observers |
Autor: | Silvestre, Daniel Rosa, P. Hespanha, J.P. Silvestre, C. |
Palavras-chave: | State Estimation Fault Detection Self-triggered Network Control Systems |
Data: | Fev-2018 |
Citação: | Daniel Silvestre, Paulo Rosa, João P. Hespanha, Carlos Silvestre, Self-Triggered and Event-Triggered Set-Valued Observers, Information Sciences, Volume 426, 2018, Pages 61-86, ISSN 0020-0255, https://doi.org/10.1016/j.ins.2017.10.029. |
Resumo: | This paper addresses the problem of reducing the required network load and computational power for the implementation of Set-Valued Observers (SVOs) in Networked Control System (NCS). Event- and self-triggered strategies for NCS, modeled as discrete-time Linear Parameter-Varying (LPV) systems, are studied by showing how the triggering condition can be selected. The methodology provided can be applied to determine when it is required to perform a full (``classical'') computation of the SVOs, while providing low-complexity state overbounds for the remaining time, at the expenses of temporarily reducing the estimation accuracy. As part of the procedure, an algorithm is provided to compute a suitable centrally symmetric polytope that allows to find hyper-parallelepiped and ellipsoidal overbounds to the exact set-valued state estimates calculated by the SVOs. By construction, the proposed triggering techniques do not influence the convergence of the SVOs, as at some subsequent time instants, set-valued estimates are computed using the \emph{conventional} SVOs. Results are provided for the triggering frequency of the self-triggered strategy and two interesting cases: distributed systems when the dynamics of all nodes are equal up to a reordering of the matrix; and when the probability distribution of the parameters influencing the dynamics is known. The performance of the proposed algorithm is demonstrated in simulation by using a time-sensitive example. |
Revisão por Pares: | yes |
URI: | http://hdl.handle.net/11144/3427 |
metadata.dc.identifier.doi: | 10.1016/j.ins.2017.10.029 |
ISSN: | 0020-0255 |
Aparece nas colecções: | AUTONOMA TECHLAB - Artigos/Papers DCT - Artigos/Papers |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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self_jrnl.pdf | 82,82 kB | Adobe PDF | Ver/Abrir |
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