Title page for etd-0117113-103743


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URN etd-0117113-103743
Author Yu-Chen Liu
Author's Email Address No Public.
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Department Electrical Engineering
Year 2012
Semester 1
Degree Master
Type of Document
Language English
Title Design of Decentralized Block Backstepping Controllers with Perturbation Estimation for Large-Scale Systems to Achieve Asymptotic Stability
Date of Defense 2013-01-10
Page Count 97
Keyword
  • adaptive block backstepping control
  • non-strict feedback form
  • large-scale system
  • decentralized controller
  • perturbation estimation
  • virtual input controller
  • Abstract Based on the Lyapunov stability theorem, a design methodology of decentralized adaptive block backstepping control with perturbation estimation scheme is proposed in this thesis for a class of large-scale systems to solve regulation problems. The dynamic equations of each subsystem do not need to be in the block-strict feedback form, and all contain multiple inputs. The design of virtual inputs are firstly introduced, then followed by the design of control inputs. The perturbation estimation is employed in the proposed control scheme, so that the derivatives of
    virtual input functions do not need to be computed directly. Since adaptive mechanisms are also embedded both in the virtual input functions and control inputs, the upper bounds of perturbations and perturbation estimation errors are not required to be known in advance. Furthermore, the resultant control scheme is capable of achieving asymptotic stability. Finally, a numerical and a practical examples are given for demonstrating the feasibility of the proposed control scheme.
    Advisory Committee
  • Chi-Cheng Cheng - chair
  • Chung-Yao Kao - co-chair
  • Chih-Chiang Cheng - advisor
  • Files
  • etd-0117113-103743.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2013-01-17

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