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Wuhan University Journal of Natural Sciences

, Volume 24, Issue 5, pp 435–441 | Cite as

Stability Analysis of Nonlinear Networked Control System with Integral Quadratic Constraints Performance in Takagi-Sugeno Fuzzy Model

  • Gaofeng PengEmail author
  • Hongping Liu
  • Yang Leng
  • Yong Wang
  • Na Zhao
Information Technology
  • 13 Downloads

Abstract

This paper focuses on the stability analysis of nonlinear networked control system with integral quadratic constraints (IQC) performance, dynamic quantization, variable sampling intervals, and communication delays. By using input-delay and parallel distributed compensation (PDC) techniques, we establish the Takagi-Sugeno (T-S) fuzzy model for the system, in which the sampling period of the sampler and signal transmission delay are transformed to the refreshing interval of a zero-order holder (ZOH). By the appropriate Lyapunov-Krasovskii-based methods, a delay-dependent criterion is derived to ensure the asymptotic stability for the system with IQC performance via the H state feedback control. The efficiency of the method is illustrated on a simulation exampler.

Key words

H output tracking control nonlinear networked control systems Takagi-Sugeno fuzzy model Lyapunov-Krasovskii method 

CLC number

TP 305 

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Copyright information

© Wuhan University and Springer-Verlag GmbH Germany 2019

Authors and Affiliations

  • Gaofeng Peng
    • 1
    Email author
  • Hongping Liu
    • 1
  • Yang Leng
    • 1
  • Yong Wang
    • 1
  • Na Zhao
    • 1
  1. 1.College of Information Science and EngineeringChangsha Normal UniversityChangsha, HunanChina

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