loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4
Stabilization of Double Inverted Pendulum with Self-Tuning Neuro-PID
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
Toru Fujinaka, Osaka Prefecture University
Yoshiyuki Kishida, Osaka Prefecture University
Michifumi Yoshioka, Osaka Prefecture University
Sigeru Omatu, Osaka Prefecture University
New self-tuning neuro-PID control architecture is proposed and applied to the stabilization of double inverted pendulum. The gain parameters of the PID controller are tuned using a neural network. The effectiveness of the proposed method is shown through simulation and experiment.
Citation:
Toru Fujinaka, Yoshiyuki Kishida, Michifumi Yoshioka, Sigeru Omatu, "Stabilization of Double Inverted Pendulum with Self-Tuning Neuro-PID," ijcnn, vol. 4, pp.4345, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000
Usage of this product signifies your acceptance of the Terms of Use.