Distributed H∞ State Estimation in Sensor Network Subject to State and Communication Delays

The distributed H ∞ state estimation of delayed sensor network is dealt with in this paper. To deeply reflect the time-delay phenomenon in the process of information fusion, a model containing state time-varying delay and different communication delays is set up. Afterwards, a fresh Lyapunov–Krasovs...

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Bibliographic Details
Published in:Circuits, systems, and signal processing systems, and signal processing, 2021-07, Vol.40 (7), p.3227-3243
Main Authors: Qian, Wei, Zhang, Xianglin, Zhao, Yunji, Zhang, Xinliang
Format: Article
Language:English
Subjects:
Attenuation
Circuits and Systems
Data integration
Delay
Derivatives
Electrical Engineering
Electronics and Microelectronics
Engineering
H infinity
Instrumentation
Integrals
Signal,Image and Speech Processing
State estimation
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Summary:The distributed H ∞ state estimation of delayed sensor network is dealt with in this paper. To deeply reflect the time-delay phenomenon in the process of information fusion, a model containing state time-varying delay and different communication delays is set up. Afterwards, a fresh Lyapunov–Krasovskii functional (LKF) is given, which contains different kinds of time delays, delay-dependent matrix and multiple integral terms. Meanwhile, in order to cooperate with the constructed LKF to bring down the conservatism of the result effectively, relaxed-function-based single integral inequality and convex combination are employed to estimate the functional derivative. Thus, a less conservative criterion is gained to guarantee the asymptotic stability with desirable attenuation level of the estimation error system. Several simulation examples are used to testify the validity of the proposed approach.
ISSN:0278-081X
1531-5878
DOI:10.1007/s00034-020-01627-z