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Stabilization of Double Inverted Pendulum with Self-Tuning Neuro-PID
Como, Italy July 24-July 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.860795IEEE-INNS-ENNS International Joint Co ...
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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
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