Title :
Feedback-error-learning for stability of Double Inverted Pendulum
Author :
Kiankhah, E. ; Teshnelab, M. ; Shoorehdeli, Mahdi Aliyari
Author_Institution :
Islamic Azad Univ. Sci. & Res., Tehran, Iran
Abstract :
Double inverted pendulum is a nonlinear system, unstable and fast reaction system. Double inverted pendulum is stable when its two pendulums allocated in vertically position and have no oscillation and movement and also insertion force should be zero. The main target of this research is design a controller based on neuro-fuzzy methods by using feedback-error-learning for controlling double inverted pendulum.
Keywords :
control system synthesis; feedback; fuzzy control; neurocontrollers; nonlinear control systems; pendulums; stability; double inverted pendulum stability; feedback-error-learning; neuro-fuzzy methods; nonlinear system; Control systems; Equations; Error correction; Force control; Fuzzy control; Kinetic energy; Lagrangian functions; Neural networks; Potential energy; Stability; Double Inverted Pendulum; Feedback error learning; Neural Network; Neuro-Fuzzy Controlling;
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2009.5346908
