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

*Corresponding author for this work

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
Externally publishedYes
Event2007 International Conference on Computer Engineering and Systems, ICCES'07 - Cairo, Egypt
Duration: Nov 27 2007Nov 29 2007

Publication series

NameICCES'07 - 2007 International Conference on Computer Engineering and Systems

Other

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

ASJC Scopus subject areas

  • Computational Mechanics
  • Control and Systems Engineering

Fingerprint

Dive into the research topics of 'Adaptive fuzzy semi-decentralized control for a class of large-scale nonlinear systems based on input-output linearization concept'. Together they form a unique fingerprint.

Cite this