Title

A Fuzzy Inverse Model Construction Method for General Monotonic Multi-Input-Single-Output (MISO) Systems

Authors

Authors

C. Y. Xu;Y. C. Shin

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

IEEE Trans. Fuzzy Syst.

Keywords

Fuzzy systems; inverse problems; multivariable systems; robot; manipulators; CONTROLLER; EQUATIONS; Computer Science, Artificial Intelligence; Engineering, Electrical &; Electronic

Abstract

This paper presents a novel method of systematically constructing a fuzzy inverse model for general multi-input-single-output (MISO) systems represented with triangular input membership functions, singleton output membership function, and fuzzy-mean defuzzification. The fuzzy inverse model construction method has the ability of uniquely determining the inverse relationship for each input-output pair. It is derived in a straightforward way and the required input variables can be simultaneously obtained by the fuzzy inferencing calculation to realize the desired output value. Simulation examples are provided to demonstrate the effectiveness of the proposed method to find the inverse kinematics solutions for complex multiple degree-of-freedom industrial robot manipulators.

Journal Title

Ieee Transactions on Fuzzy Systems

Volume

16

Issue/Number

5

Publication Date

1-1-2008

Document Type

Article

Language

English

First Page

1216

Last Page

1231

WOS Identifier

WOS:000260046700009

ISSN

1063-6706

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