Study of an adaptive fuzzy controller based on the adaptation of relative rule weights

Y. Ahmet Sekercioglu; Andreas Pitsillides; Gregory K. Egan

Study of an adaptive fuzzy controller based on the adaptation of relative rule weights

Y. Ahmet Sekercioglu, Andreas Pitsillides, Gregory K. Egan

Swinburne University of Technology

Research output: Contribution to conference › Paper › peer-review

14 Citations (Scopus)

Abstract

An adaptive fuzzy controller models the qualitative control actions of a human operator. It is applicable to systems for which explicit mathematical models are not easily obtainable. Qualitative control actions are modeled by using fuzzy relational equations in the form of `if ... then ...' rules. This article gives the details of an adaptive method based on Lyapunov synthesis approach to optimize the combination of fuzzy relational equations by modifying the relative rule weights.

Original language	English
Pages	204-208
Number of pages	5
Publication status	Published - 1994
Externally published	Yes
Event	Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems - Brisbane, Aust Duration: 29 Nov 1994 → 2 Dec 1994

Conference

Conference	Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems
City	Brisbane, Aust
Period	29/11/94 → 2/12/94

ASJC Scopus subject areas

General Engineering

Cite this

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title = "Study of an adaptive fuzzy controller based on the adaptation of relative rule weights",

abstract = "An adaptive fuzzy controller models the qualitative control actions of a human operator. It is applicable to systems for which explicit mathematical models are not easily obtainable. Qualitative control actions are modeled by using fuzzy relational equations in the form of `if ... then ...' rules. This article gives the details of an adaptive method based on Lyapunov synthesis approach to optimize the combination of fuzzy relational equations by modifying the relative rule weights.",

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year = "1994",

language = "English",

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note = "Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems ; Conference date: 29-11-1994 Through 02-12-1994",

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AU - Sekercioglu, Y. Ahmet

AU - Pitsillides, Andreas

AU - Egan, Gregory K.

PY - 1994

Y1 - 1994

N2 - An adaptive fuzzy controller models the qualitative control actions of a human operator. It is applicable to systems for which explicit mathematical models are not easily obtainable. Qualitative control actions are modeled by using fuzzy relational equations in the form of `if ... then ...' rules. This article gives the details of an adaptive method based on Lyapunov synthesis approach to optimize the combination of fuzzy relational equations by modifying the relative rule weights.

AB - An adaptive fuzzy controller models the qualitative control actions of a human operator. It is applicable to systems for which explicit mathematical models are not easily obtainable. Qualitative control actions are modeled by using fuzzy relational equations in the form of `if ... then ...' rules. This article gives the details of an adaptive method based on Lyapunov synthesis approach to optimize the combination of fuzzy relational equations by modifying the relative rule weights.

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M3 - Paper

AN - SCOPUS:0028755693

SP - 204

EP - 208

T2 - Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems

Y2 - 29 November 1994 through 2 December 1994

ER -

Study of an adaptive fuzzy controller based on the adaptation of relative rule weights

Abstract

Conference

ASJC Scopus subject areas

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