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Event-based Distributed Filtering Approach to Nonlinear Stochastic Systems over Sensor Networks

Authors
Hu, ZhongruiShi, PengWu, LigangAhn, Choon Ki
Issue Date
4월-2019
Publisher
INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS
Keywords
Distributed filtering; event-triggered control; fuzzy systems; sensor networks
Citation
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, v.17, no.4, pp.896 - 906
Indexed
SCIE
SCOPUS
KCI
Journal Title
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
Volume
17
Number
4
Start Page
896
End Page
906
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/66484
DOI
10.1007/s12555-018-0629-1
ISSN
1598-6446
Abstract
In this paper, an event-triggered communication strategy and a distributed filtering scheme are designed for discrete-time nonlinear stochastic systems over wireless sensor networks (WSNs). The underlying system is represented by the Takagi-Sugeno (T-S) fuzzy model, and in addition by the description of the WSN under consideration. The structure of the WSN is established on a deterministic one. Based on an event-triggering condition tailored for each sensor, distributed fuzzy filters are established using the triggered measurements of the smart sensors. As a result, an augmented stochastic system is presented for the distributed filtering design. A robust mean-square asymptotic stability criterion is explored using the Lyapunov stability theory and the Disk stability constraint is applied to improve the performance of the distributed filters. An optimization solution to obtaining the parameters of the distributed filters is developed. Subsequently, a computer-simulated example helps to illustrate the validity of the proposed new filtering design techniques.
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공과대학 (전기전자공학부)
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