Please use this identifier to cite or link to this item: http://hdl.handle.net/11144/3427
 Title: Self-Triggered and Event-Triggered Set-Valued Observers Authors: Silvestre, DanielRosa, P.Hespanha, J.P.Silvestre, C. Keywords: State EstimationFault DetectionSelf-triggeredNetwork Control Systems Issue Date: Feb-2018 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. 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. Peer Reviewed: yes URI: http://hdl.handle.net/11144/3427 metadata.dc.identifier.doi: 10.1016/j.ins.2017.10.029 ISSN: 0020-0255 Appears in Collections: AUTONOMA TECHLAB - Artigos/PapersDCT - Artigos/Papers

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