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http://hdl.handle.net/11144/3427
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Campo DC | Valor | Idioma |
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dc.contributor.author | Silvestre, Daniel | - |
dc.contributor.author | Rosa, P. | - |
dc.contributor.author | Hespanha, J.P. | - |
dc.contributor.author | Silvestre, C. | - |
dc.date.accessioned | 2018-02-07T11:49:03Z | - |
dc.date.available | 2018-02-07T11:49:03Z | - |
dc.date.issued | 2018-02 | - |
dc.identifier.citation | 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. | por |
dc.identifier.issn | 0020-0255 | - |
dc.identifier.uri | http://hdl.handle.net/11144/3427 | - |
dc.description.abstract | 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. | por |
dc.language.iso | eng | por |
dc.rights | openAccess | por |
dc.subject | State Estimation | por |
dc.subject | Fault Detection | por |
dc.subject | Self-triggered | por |
dc.subject | Network Control Systems | por |
dc.title | Self-Triggered and Event-Triggered Set-Valued Observers | por |
dc.type | article | por |
degois.publication.firstPage | 61 | por |
degois.publication.lastPage | 86 | por |
degois.publication.title | Information Sciences | por |
degois.publication.volume | 426 | por |
dc.peerreviewed | yes | por |
dc.identifier.doi | 10.1016/j.ins.2017.10.029 | por |
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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