Fuzzy model-based robust networked control for a class of nonlinear systems

  • Authors:

  • Huaguang Zhang;Ming Li;Jun Yang;Dedong Yang

  • Affiliations:

  • School of Information Science and Engineering, Northeastern University, Shenyang, China and Key Laboratory of Integrated Automation of Process Industry, Northeastern University, National Education ...;Department of Automation, Ocean University of China, Qingdao, China;School of Information Science and Engineering, Northeastern University, Shenyang, China;School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

  • Venue:
  • IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
  • Year:
  • 2009

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Abstract

In this paper, the robust stability of a networked control system via a fuzzy estimator (FE) is studied, where the controlled plant is a class of nonlinear systems with external disturbances, which can be represented by a Takagi-Sugeno fuzzy model. Both network-induced delay and packet dropout are concerned. In the developed control scheme, the FE is used to estimate the states of the controlled plant for the purpose of effectively reducing the network burden. Based on the limited knowledge of a controlled plant in the presence of a network, a disturbance attenuation term is also employed to attenuate the influence of modeling errors and external disturbances on the system. The sufficient condition for the robust stability with H∞ performance of the closed-loop system is obtained. The simulation results show the validity of the proposed control scheme.