Title :
Evolutionary control method and swing up and stabilization control of inverted pendulum
Author :
Yasunobu, Seini ; Yamasaki, Hiroaki
Author_Institution :
Inst. of Eng. Mech. & Syst., Tsukuba Univ., Japan
Abstract :
The control of a nonlinear system where the characteristics are changing is difficult. In order to control the system, a study is needed to model during the execution and control. In this paper, a new evolutionary control method is proposed that combines the evolutionary modeling by on-line GA and predictive fuzzy control. This control method is applied to the control of inverted pendulum where characteristics are modified actively to the external factor. The effectiveness of this control method has been confirmed
Keywords :
fuzzy control; genetic algorithms; nonlinear control systems; predictive control; stability; evolutionary control method; evolutionary modeling; inverted pendulum; nonlinear system; online genetic algorithm; predictive fuzzy control; stabilization control; swing up; Control system synthesis; Control systems; Fuzzy control; Fuzzy sets; Fuzzy systems; Humans; Nonlinear control systems; Nonlinear systems; Predictive models; Systems engineering and theory;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.944390
