Soft Target Based Intelligent Controller for a System with Dynamic Restriction

Abstract

Human's action decision is based on wide targets and can respond flexibly under different situations. However, flexible adaptation to the situation with dynamic restriction is difficult but important in autonomous control system. In this paper, a method of developing intelligent controller based on soft target is proposed. Here, 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 dynamic restriction to realize situation self-adaptation and target self-regulation in the process of swinging up and stabilization. The simulation results show the validity of the method.