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Title: Optimized state estimation for nonlinear dynamical networks subject to fading measurements and stochastic coupling strength: An event-triggered communication mechanism (English)
Author: Jia, Chaoqing
Author: Hu, Jun
Author: Lv, Chongyang
Author: Shi, Yujing
Language: English
Journal: Kybernetika
ISSN: 0023-5954 (print)
ISSN: 1805-949X (online)
Volume: 56
Issue: 1
Year: 2020
Pages: 35-56
Summary lang: English
Category: math
Summary: This paper is concerned with the design of event-based state estimation algorithm for nonlinear complex networks with fading measurements and stochastic coupling strength. The event-based communication protocol is employed to save energy and enhance the network transmission efficiency, where the changeable event-triggered threshold is adopted to adjust the data transmission frequency. The phenomenon of fading measurements is described by a series of random variables obeying certain probability distribution. The aim of the paper is to propose a new recursive event-based state estimation strategy such that, for the admissible linearization error, fading measurements and stochastic coupling strength, a minimum upper bound of estimation error covariance is given by designing the estimator gain. Furthermore, the monotonicity relationship between the trace of the upper bound of estimation error covariance and the fading probability is pointed out from the theoretical aspect. Finally, a simulation example is used to show the effectiveness of developed state estimation algorithm. (English)
Keyword: event-based communication protocol
Keyword: fading measurements
Keyword: stochastic coupling strength
Keyword: nonlinear dynamical networks
Keyword: monotonicity analysis
MSC: 93C10
MSC: 93E03
MSC: 93E10
idZBL: Zbl 07217210
idMR: MR4091783
DOI: 10.14736/kyb-2020-1-0035
Date available: 2020-05-20T15:28:51Z
Last updated: 2021-03-29
Stable URL:
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