首頁 > 網路資源 > 大同大學數位論文系統

Title page for etd-0716107-211655


URN etd-0716107-211655 Statistics This thesis had been viewed 2424 times. Download 14 times.
Author Wei-Ting Sun
Author's Email Address No Public.
Department Electrical Engineering
Year 2006 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 50
Title DECENTRALIZED ADAPTIVE FUZZY INTEGRAL VARIABLE STRUCTURE CONTROL FOR A
NONLINEAR LARGE-SCALE SYSTEM
Keyword
  • state observer
  • large-scale system
  • integral variable structure control
  • adaptive fuzzy
  • adaptive fuzzy
  • integral variable structure control
  • large-scale system
  • state observer
  • Abstract This thesis investigates a decentralized adaptive fuzzy integral variable structure control law, and it is proposed for a class of unknown nonlinear large-scale system (LSS) that not all the states are available for measurement. First, the fuzzy models for describing the unknown function of the large-scale system. Next, by designing the state observer, it is used to be tracking error vector. Based on the fuzzy model and state observer, a decentralized integral variable structure control is developed for guaranteeing the tracking performance. Then, the adaptive laws for adjusting the parameters of the fuzzy models can be designed. The stability of the large-scale system can be verified by Lyapunov stability theorem. Moreover, the proposed overall control schemes guarantee that all the signals are bounded and achieve the desired tracking performance. Finally, two examples is given to illustrate the control synthesis and its effectiveness.
    Advisor Committee
  • Chung-Chun Kung - advisor
  • Files indicate in-campus access only
    Date of Defense 2007-07-09 Date of Submission 2007-07-16


    Browse | Search All Available ETDs