Mode-independent fuzzy fault-tolerant variable sampling stabilization of nonlinear networked systems with both time-varying and random delays

  • Authors:

  • Feisheng Yang;Huaguang Zhang;Guotao Hui;Shenquan Wang

  • Affiliations:

  • College of Information Science and Engineering, Northeastern University, Shenyang 110819, PR China;College of Information Science and Engineering, Northeastern University, Shenyang 110819, PR China and State Key Laboratory of Synthetical Automation for Process Industries, Shenyang;College of Information Science and Engineering, Northeastern University, Shenyang 110819, PR China;College of Information Science and Engineering, Northeastern University, Shenyang 110819, PR China

  • Venue:
  • Fuzzy Sets and Systems
  • Year:
  • 2012

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Abstract

This paper develops a fault-tolerant variable sampling control (VSC) scheme for a class of nonlinear networked control systems (NCSs) with time-varying state and random network delays. An uncertain continuous Takagi-Sugeno (T-S) fuzzy system with both state and input varying delays, in the presence of possible actuator faults, is obtained equivalently on the basis of the input delay methodology. A tighter bounding lemma is proposed so as to gain less conservative closed-loop stability criteria. Delay-dependent conditions in terms of linear matrix inequalities are derived for the mode-independent fault-tolerant stabilizing controller of the resulting Markovian network-based system by employing a novel stochastic Lyapunov-Krasovskii (L-K) functional. An illustrative example is simulated to show the validity of the obtained results.