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

Zhongrui Hu, Peng Shi, Ligang Wu, Choon Ki Ahn

Research output: Contribution to journalArticle

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.

Original languageEnglish
JournalInternational Journal of Control, Automation and Systems
DOIs
Publication statusPublished - 2019 Jan 1

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Stochastic systems
Sensor networks
Wireless sensor networks
Fuzzy filters
Smart sensors
Stability criteria
Asymptotic stability
Communication
Sensors

Keywords

  • Distributed filtering
  • event-triggered control
  • fuzzy systems
  • sensor networks

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications

Cite this

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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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