Please use this identifier to cite or link to this item:
Title: Self-Triggered and Event-Triggered Set-Valued Observers
Authors: Silvestre, Daniel
Rosa, P.
Hespanha, J.P.
Silvestre, C.
Keywords: State Estimation
Fault Detection
Network 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,
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
metadata.dc.identifier.doi: 10.1016/j.ins.2017.10.029
ISSN: 0020-0255
Appears in Collections:AUTONOMA TECHLAB - Artigos/Papers
DCT - Artigos/Papers

Files in This Item:
File Description SizeFormat 
self_jrnl.pdf82,82 kBAdobe PDFThumbnail

FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis Logotipo do Orcid 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.