Design of adaptive fuzzy-based tracking control of input time delay nonlinear systems

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

This paper proposes an adaptive fuzzy logic tracking control for unknown nonlinear systems having input time delay. In the controller design, a filtered tracking error is introduced to facilitate handling of the time delay. Approximation capability of fuzzy logic systems are exploited to provide approximations of unknown nonlinear functions that appear in the tracking controller. Lyapunov stability analysis shows that the designed tracking control yields bounded signals of the closed-loop system. Simulation examples are provided to validate the effectiveness of the proposed controller in achieving desired tracking with bounded control signals.

Original languageEnglish
Pages (from-to)417-426
Number of pages10
JournalNonlinear Dynamics
Volume79
Issue number1
DOIs
Publication statusPublished - 2015

Fingerprint

Input Delay
Time-delay Systems
Tracking Control
Nonlinear systems
Time delay
Nonlinear Systems
Controllers
Fuzzy logic
Time Delay
Controller
Bounded Control
Unknown
Fuzzy Logic System
Lyapunov Stability
Approximation
Nonlinear Function
Closed loop systems
Controller Design
Fuzzy Logic
Closed-loop System

Keywords

  • Adaptive fuzzy control
  • Input delay
  • Nonlinear system

ASJC Scopus subject areas

  • Applied Mathematics
  • Mechanical Engineering
  • Aerospace Engineering
  • Ocean Engineering
  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Cite this

Design of adaptive fuzzy-based tracking control of input time delay nonlinear systems. / Yousef, Hassan.

In: Nonlinear Dynamics, Vol. 79, No. 1, 2015, p. 417-426.

Research output: Contribution to journalArticle

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