• DocumentCode
    116340
  • Title

    Non-fragile output feedback control design of uncertain Takagi-Sugeno Fuzzy Systems

  • Author

    Yoneyama, Jun

  • Author_Institution
    Electr. Eng. & Electron., Aoyama Gakuin Univ., Sagamihara, Japan
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    6764
  • Lastpage
    6769
  • Abstract
    The paper is concerned with non-fragile control design via output feedback controller for uncertain fuzzy systems. In control design for physical systems, there are chances that malfunction in actuator happens and an exact value of the control input may not be applied. Hence, controller gain variations as well as uncertainty in the system parameters should be considered in the control design. Additionally, many results on the state feedback control design have been given in the literature. However, in the actual situation, the state of the system is rarely measured and the output feedback control design is desired. In this paper, non-fragile control via output feedback control for uncertain fuzzy systems is considered and a control design of stabilizing controllers with robustness against uncertainties of system parameters and control gains is proposed. Based on the descriptor system formulation, the robust stability analysis of the closed-loop system and controller design are given in terms of LMI conditions, which are less conservative than the existing results.
  • Keywords
    actuators; control system synthesis; fuzzy systems; linear matrix inequalities; stability; state feedback; uncertain systems; LMI conditions; actuator; closed-loop system; control gains; controller gain variations; descriptor system formulation; nonfragile control design; output feedback controller; physical systems; robust stability analysis; stabilizing controllers; state feedback control design; uncertain Takagi-Sugeno fuzzy systems; Control design; Fuzzy systems; Output feedback; Robustness; Takagi-Sugeno model; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7040451
  • Filename
    7040451