• DocumentCode
    17800
  • Title

    Output-Feedback Control for T–S Fuzzy Delta Operator Systems With Time-Varying Delays via an Input–Output Approach

  • Author

    Hongyi Li ; Yabin Gao ; Peng Shi ; Xudong Zhao

  • Author_Institution
    Coll. of Eng., Bohai Univ., Jinzhou, China
  • Volume
    23
  • Issue
    4
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    1100
  • Lastpage
    1112
  • Abstract
    In this paper, the problem of induced L2 disturbance attenuation control is investigated for discrete-time Takagi-Sugeno (T-S) fuzzy delta operator systems with time-varying delays and disturbance input via an input-output approach. A model transformation method is utilized to approximate the time-varying delay in T-S fuzzy delta operator systems. By applying the scaled small gain (SSG) theorem and Lyapunov-Krasovskii functional approach, a sufficient condition is established to guarantee that the closed-loop system is asymptotically stable and has an induced L2 disturbance attenuation performance. The existence condition of the dynamic output-feedback controller can be solved via convex optimization problems. Finally, simulation results are given to demonstrate the feasibility and effectiveness of the proposed method.
  • Keywords
    Lyapunov methods; asymptotic stability; closed loop systems; convex programming; delays; discrete time systems; feedback; fuzzy control; time-varying systems; Lyapunov-Krasovskii functional approach; T-S fuzzy delta operator systems; asymptotic stability; closed-loop system; convex optimization problems; dynamic output-feedback control; induced L2 disturbance attenuation control; input-output approach; model transformation method; scaled small gain theorem; time-varying delays; Attenuation; Closed loop systems; Delays; Educational institutions; Stability analysis; Symmetric matrices; Time-varying systems; Delta operator system; T???S fuzzy model; dynamic output feedback control; induced L2 performance; time-varying delay;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2014.2346237
  • Filename
    6873331