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
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