首頁 > 網路資源 > 大同大學數位論文系統

Title page for etd-0819104-142812


URN etd-0819104-142812 Statistics This thesis had been viewed 1842 times. Download 7 times.
Author Chi-An Huang
Author's Email Address No Public.
Department Electrical Engineering
Year 2003 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 43
Title Multiobjective robust adaptive observer design for uncertain nonlinear systems using neural networks
Keyword
  • observer
  • nonlinear
  • neural networks
  • LMI
  • adaptive
  • adaptive
  • LMI
  • neural networks
  • nonlinear
  • observer
  • Abstract In this thesis, a robust adaptive observer incorporating neural network elimination scheme and sliding-mode control action for multiobjectives including H2 tracking performance, H∞ tracking performance, and regional pole constraints is proposed in some class of single-output nonlinear systems with unknown internal parameters and bounded external disturbances. The nonlinear systems can be transformed by state-space change of coordinates into a special observable canonical form. The adaptive neural networks and the sliding-mode control action are used for plant uncertainty estimates and to eliminate the effect of approximation error via neural network approximation, respectively. The sufficient conditions are developed for different objectives in terms of linear matrix inequality (LMI) formulations, which include H∞ tracking performance with regional pole constraints and mixed H2/H∞ tracking performance with regional pole constraints. Finally, two simulation results show the effectiveness of the proposed scheme.
    Advisor Committee
  • Wen-Shyong Yu - advisor
  • none - co-chair
  • none - co-chair
  • Files indicate in-campus access only
    Date of Defense 2004-07-15 Date of Submission 2004-08-19


    Browse | Search All Available ETDs