• DocumentCode
    2640237
  • Title

    Interval Type-2 Fuzzy Neural Network Controller (IT2FNNC) and Its Application to a Coupled-Tank Liquid-Level Control System

  • Author

    Li, Chengdong ; Yi, Jianqiang ; Zhao, Dongbin

  • Author_Institution
    Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    508
  • Lastpage
    508
  • Abstract
    In this paper, an interval type-2 fuzzy neural network controller (IT2FNNC) is proposed. This new controller can combine the merits of neural network and type-2 fuzzy logic controller (T2FLC) which has been shown to be a powerful paradigm to handle the high level of uncertainties in real-world applications. To tune the parameters of IT2FNNC, the update rule is developed based on the backpropagation (BP) algorithm. And, in order to demonstrate the effectiveness of the proposed controller, an application to the coulped-tank liquid-level control system is investigated. Simulation results show that the proposed controller can present satisfactory performance. Moreover, compared with the T1FNN controller, IT2FNNC performs better, particularly in noisy environments.
  • Keywords
    backpropagation; fuzzy control; fuzzy neural nets; level control; neurocontrollers; tanks (containers); backpropagation algorithm; coupled-tank liquid-level control system; interval type-2 fuzzy neural network controller; type-2 fuzzy logic controller; Automatic control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Mobile robots; Neural networks; Robot control; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.329
  • Filename
    4603697