The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2012
Session ID : 1A1-F08
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1A1-F08 Predictive Control Systems using Recurrent Neural Networks(Evolution and Learning for Robotics(1))
Miho KOBAYASHIKazuaki YAMADA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
It is difficult for a model predictive control to deal with an alternation of the inside and outside of systems. This paper proposes a new predictive control system using a recurrent neural network and a fuzzy control system. The proposed method can predict a ball track by forming the orbital model of a ball on recurrent neural networks.
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© 2012 The Japan Society of Mechanical Engineers
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