A Fuzzy Inverse Model Construction Method for a General MISO System with a Monotonic Input-output Relationship

Abstract

This paper presents a novel method of systematically constructing the fuzzy inverse model for a general multi-input single-output (MISO) system 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 industrial robot manipulators.