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A multilayered neural network controller

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3 Author(s)
Psaltis, D. ; Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA ; Sideris, A. ; Yamamura, A.A.

A multilayered neural network processor is used to control a given plant. Several learning architectures are proposed for training the neural controller to provide the appropriate inputs to the plant so that a desired response is obtained. A modified error-back propagation algorithm, based on propagation of the output error through the plant, is introduced. The properties of the proposed architectures are studied through a simulation example.<>

Published in:

Control Systems Magazine, IEEE  (Volume:8 ,  Issue: 2 )