Adaptive fuzzy semi-decentralized control for a class of large-scale nonlinear systems with unknown interconnections

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

32 Citations (SciVal)


In this paper, a general method is developed to generate a stable adaptive fuzzy semi-decentralized control for a class of large-scale interconnected nonlinear systems with unknown nonlinear subsystems and unknown nonlinear interconnections. In the developed control algorithms, fuzzy logic systems, using fuzzy basis functions (FBF), are employed to approximate the unknown subsystems and interconnection functions without imposing any constraints or assumptions about the interconnections. The proposed controller consists of primary and auxiliary parts, where both direct and indirect adaptive approaches for the primary control part are aiming to maintain the closed-loop stability, whereas the auxiliary control part is designed to attenuate the fuzzy approximation errors. By using Lyapunov stability method, the proposed semi-decentralized adaptive fuzzy control system is proved to be globally stable, with converging tracking errors to a desired performance. Simulation examples are presented to illustrate the effectiveness of the proposed controller.

Original languageEnglish
Pages (from-to)687-708
Number of pages22
JournalInternational Journal of Robust and Nonlinear Control
Issue number15
Publication statusPublished - Oct 2006
Externally publishedYes


  • Direct and indirect adaptive fuzzy control
  • Large-scale systems
  • Stability

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Chemical Engineering(all)
  • Biomedical Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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