DocumentCode
110145
Title
A Framework for the Event-Triggered Stabilization of Nonlinear Systems
Author
Postoyan, Romain ; Tabuada, Paulo ; Nesic, Dragan ; Anta, Adolfo
Author_Institution
CRAN, Univ. de Lorraine, Vandœuvre-lès-Nancy, France
Volume
60
Issue
4
fYear
2015
fDate
Apr-15
Firstpage
982
Lastpage
996
Abstract
Event-triggered control consists of closing the feedback loop whenever a predefined state-dependent criterion is satisfied. This paradigm is especially well suited for embedded systems and networked control systems since it is able to reduce the amount of communication and computation resources needed for control, compared to the traditional periodic implementation. In this paper, we propose a framework for the event-triggered stabilization of nonlinear systems using hybrid systems tools, that is general enough to encompass most of the existing event-triggered control techniques, which we revisit and generalize. We also derive two new event-triggering conditions which may further enlarge the inter-event times compared to the available policies in the literature as illustrated by two physical examples. These novel techniques exemplify the relevance of introducing additional variables for the design of the triggering law. The proposed approach as well as the new event-triggering strategies are flexible and we believe that they can be used to address other event-based control problems.
Keywords
continuous time systems; control system synthesis; discrete time systems; feedback; nonlinear control systems; stability; communication resource reduction; computation resource reduction; embedded systems; event-based control problem; event-triggered control; event-triggered stabilization framework; event-triggering conditions; feedback loop closing; hybrid system tool; interevent times; networked control systems; nonlinear systems; physical examples; state-dependent criterion; triggering law; Asymptotic stability; Control systems; Lyapunov methods; Nonlinear systems; Stability criteria; Vectors; Event-triggered control; hybrid systems; networked control systems; nonlinear systems; sampled-data;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.2014.2363603
Filename
6924753
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