Adaptive fuzzy controller for a class of nonlinear systems with unknown backlash-like hysteresis

Hassan A. Yousef, Mohamed Hamdy, Kyrillos Nashed

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

This paper proposes an adaptive fuzzy logic control scheme for a class of strict-feedback nonlinear systems with unknown backlash-like hysteresis. The proposed controller exploits the properties of the newly developed (Formula presented.) adaptive control in conjunction with the approximation capability of fuzzy systems. The developed controller is fast, the adaptation can be as fast as the CPU permits, and robust by virtue of the (Formula presented.) adaptive control structure and the direct estimation of the system nonlinear functions via fuzzy logic systems. As a result, the proposed (Formula presented.) adaptive fuzzy controller has a simpler form and requires fewer adaptation parameters. The inverted pendulum and Duffing forced oscillation systems are used in simulation studies to verify the effectiveness of the proposed (Formula presented.) adaptive fuzzy control scheme.

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalInternational Journal of Systems Science
DOIs
Publication statusAccepted/In press - May 1 2017

Fingerprint

Fuzzy Controller
Hysteresis
Nonlinear systems
Nonlinear Systems
Unknown
Controllers
Fuzzy logic
Adaptive Control
Fuzzy systems
Pendulums
Parameter Adaptation
Fuzzy control
Controller
Forced oscillation
Adaptive Fuzzy Control
Fuzzy Logic Control
Fuzzy Logic System
Program processors
Inverted Pendulum
Feedback Systems

Keywords

  • (Formula presented.) adaptive control
  • backlash-like hysteresis
  • fuzzy approximation
  • nonlinear systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications

Cite this

Adaptive fuzzy controller for a class of nonlinear systems with unknown backlash-like hysteresis. / Yousef, Hassan A.; Hamdy, Mohamed; Nashed, Kyrillos.

In: International Journal of Systems Science, 01.05.2017, p. 1-12.

Research output: Contribution to journalArticle

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