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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 18/2020

14.03.2020 | Original Article

H-infinity stability analysis and output feedback control for fuzzy stochastic networked control systems with time-varying communication delays and multipath packet dropouts

verfasst von: Zhiming Zhang, Wei Zheng, Ping Xie, Fuchun Sun, Xiaolei Li, Shuhuan Wen

Erschienen in: Neural Computing and Applications | Ausgabe 18/2020

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Abstract

The H-infinity stability analysis and delay-dependent Takagi–Sugeno (T–S) fuzzy dynamic output feedback control are proposed for the T–S fuzzy discrete networked control systems with time-varying communication delay and multipath packet dropouts. T–S fuzzy model is employed to approximate the discrete networked control system with time-varying state delay and external disturbance. Stochastic system theory and Bernoulli probability distribution are employed to describe the time-varying communication delay and multipath packet dropouts. Delay-dependent T–S fuzzy dynamic output feedback controller is designed. The delay-dependent T–S fuzzy dynamic output feedback controller is employed to relax the design conditions and enhance the design flexibility. The delay-dependent Lyapunov–Krasovskii functional, stochastic system theory and Bernoulli probability distribution are introduced to guarantee the stochastic mean-square stability and prescribed H-infinity performance. Some slack matrices are introduced to reduce the computation complexity. Finally, simulation examples are presented to show the effectiveness and advantages of the proposed methods.
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Metadaten
Titel
H-infinity stability analysis and output feedback control for fuzzy stochastic networked control systems with time-varying communication delays and multipath packet dropouts
verfasst von
Zhiming Zhang
Wei Zheng
Ping Xie
Fuchun Sun
Xiaolei Li
Shuhuan Wen
Publikationsdatum
14.03.2020
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 18/2020
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-020-04826-6

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