Robust fuzzy tracking control for nonlinear networked control systems with integral quadratic constraints

  • Authors:

  • Zhi-Sheng Chen;Yong He;Min Wu

  • Affiliations:

  • School of Information Science and Engineering, Central South University, Changsha, PRC 410083 and School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha, P ...;School of Information Science and Engineering, Central South University, Changsha, PRC 410083;School of Information Science and Engineering, Central South University, Changsha, PRC 410083

  • Venue:
  • International Journal of Automation and Computing
  • Year:
  • 2010

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Abstract

This paper investigates the robust tracking control problem for a class of nonlinear networked control systems (NCSs) using the Takagi-Sugeno (T-S) fuzzy model approach. Based on a time-varying delay system transformed from the NCSs, an augmented Lyapunov function containing more useful information is constructed. A less conservative sufficient condition is established such that the closed-loop systems stability and time-domain integral quadratic constraints (IQCs) are satisfied while both time-varying network-induced delays and packet losses are taken into account. The fuzzy tracking controllers design scheme is derived in terms of linear matrix inequalities (LMIs) and parallel distributed compensation (PDC). Furthermore, robust stabilization criterion for nonlinear NCSs is given as an extension of the tracking control result. Finally, numerical simulations are provided to illustrate the effectiveness and merits of the proposed method.