Adaptive fuzzy controller using nearest neighborhood clustering and its application

Abstract

A novel control method for the nonlinear and complex plants with environmental uncertainties and variable parameters has been proposed by use of the nearest neighborhood clustering algorithm, the fuzzy control and the variable regressive estimation (VRE) technology. It overcomes the defects of the other adaptive methods such as the strong dependence to the system and the difficulty of the acquirement of the professional knowledge during the modifying period of the rules. The application of new algorithm to the electrical heating furnace with multiple zones demonstrates the advantages of the proposed method.