Soft Target Based Intelligent Controller for a Changing Environment System

Abstract: Human’s action decision is based on wide targets and can respond flexibly under different situations. However, flexible adaptation to a dynamic changing environment is difficult but important for an autonomous control system. In this paper, a soft target based fuzzy predictive intelligent controller is proposed. Here, the soft target is defined as a target set which includes many target elements with different satisfaction grade and is converted into target setting knowledge by soft computing. And this controller is applied to the control of inverted pendulum system with changing environment to realize situation self-adaptation and target self-regulation like human. The simulation and actual experiment results indicate the validity of the method.