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TECHNICAL BRIEFS

Neural Network Designs for Partially Known Dynamic Systems

[+] Author and Article Information
S. I. Mistry, S. S. Nair

Mechanical and Aerospace Engineering, University of Missouri-Columbia, Columbia, MO 65211

J. Eng. Ind 116(3), 407-409 (Aug 01, 1994) (3 pages) doi:10.1115/1.2901960 History: Received November 01, 1992; Revised August 01, 1993; Online April 08, 2008

Abstract

Algorithms are investigated for system identification and control using neural networks and validated using on-line hardware implementation. Such algorithms require very little knowledge about the system which, together with their capability of learning, make them attractive for the modeling and control of nonlinear partially known dynamic systems. An implementation architecture for neural dynamic back propagation suitable for application to other machine tools and manufacturing processes, and a network training scheme with more general features are proposed.

Copyright © 1994 by The American Society of Mechanical Engineers
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