Abstract
Neural networks are well-suited for the modeling and control of complex physical systems because of their ability to handle complex input-output mapping without detailed analytical model of the systems . In this paper internal model control associated with proportional gain is used to control the system implemented with two neural networks , model of the system and inverse model
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