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

    Authors

    C. Y. Xu;Y. C. Shin

    Comments

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    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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