Adaptive fuzzy semi-decentralized control for a class of large-scale nonlinear systems based on input-output linearization concept

H. Yousef, E. El-Madbouly, D. Eteim, M. Hamdy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Stable direct and indirect adaptive fuzzy controllers are presented for a class of interconnected nonlinear systems with unknown nonlinear subsystems and unknown nonlinear interconnections, which are represented not only in the canonical forms [1] but also in the general forms. Hybrid adaptive robust tracking control schemes which are based upon a combination of the H∞ tracking theory, and fuzzy control design are developed such that all the states and signals are bounded and an H∞ tracking control performance is guaranteed without imposing any constraints or assumptions about the interconnections. Extensive simulation example of two-link rigid robotics manipulator is provided to verify the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publicationICCES'07 - 2007 International Conference on Computer Engineering and Systems
Pages27-32
Number of pages6
DOIs
Publication statusPublished - 2007
Event2007 International Conference on Computer Engineering and Systems, ICCES'07 - Cairo, Egypt
Duration: Nov 27 2007Nov 29 2007

Other

Other2007 International Conference on Computer Engineering and Systems, ICCES'07
CountryEgypt
CityCairo
Period11/27/0711/29/07

ASJC Scopus subject areas

  • Computational Mechanics
  • Control and Systems Engineering

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    Yousef, H., El-Madbouly, E., Eteim, D., & Hamdy, M. (2007). Adaptive fuzzy semi-decentralized control for a class of large-scale nonlinear systems based on input-output linearization concept. In ICCES'07 - 2007 International Conference on Computer Engineering and Systems (pp. 27-32). [4447021] https://doi.org/10.1109/ICCES.2007.4447021