Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/132272
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Type: Journal article
Title: Stability and stabilization of singular Markovian jump systems by dynamic event-triggered control strategy
Author: Guan, C.
Fei, Z.
Feng, Z.
Shi, P.
Citation: Nonlinear Analysis: Hybrid Systems, 2020; 38:1-15
Publisher: Elsevier
Issue Date: 2020
ISSN: 1751-570X
1878-7460
Statement of
Responsibility: 
Chaoxu Guan, Zhongyang Fei, Zhiguang Feng, Peng Shi
Abstract: This paper investigates the problem ofH∞control for continuous-time singular Marko-vian jump systems in the event-triggered framework. Different from the traditionalevent-triggered control systems, we introduce a dynamic event-triggered mechanismto monitor the data transmission from system plant to controller, which can lead to asmaller amount of data transmission and thus a higher efficiency of the communicationresource. A positive lower bound on the inter-event intervals is proved to exist, whichimplies the exclusion of the Zeno behaviour. Based on this, sufficient conditions areobtained to ensure that the closed-loop system is stochastically admissible with anH∞disturbance attenuation. Then both the state feedback controller and the dynamicevent-triggered mechanism are designed based on the analysis result. The dynamicevent-triggered control is also extended to the system with network-induced delaysdue to the inevitability of time delay in practical transmission. Finally, two examples areprovided to demonstrate the effectiveness and superiority of the proposed new designscheme.
Keywords: Markovian jump systems; singular systems; dynamic event-triggered mechanism; network-induced delay
Rights: © 2020 Elsevier Ltd. All rights reserved.
DOI: 10.1016/j.nahs.2020.100943
Grant ID: http://purl.org/au-research/grants/arc/DP170102644
Published version: http://dx.doi.org/10.1016/j.nahs.2020.100943
Appears in Collections:Aurora harvest 8
Electrical and Electronic Engineering publications

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