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Adaptive (neural network) control in computer-integrated-manufacturing

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1 Author(s)
Chen, S.-C. ; Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA

Adaptive control using neural network processors is proposed for use in a highly distributed CIM environment. First, neural network concepts are used to represent and to model knowledge in robotics and factory automation. Then, the model loaded into a neurocomputer serves as the distributed, adaptive, real-time controller in a CIM environment. The adaptive control problem is defined, and the neural network approach is presented

Published in:
Intelligent Control, 1988. Proceedings., IEEE International Symposium on

Date of Conference: 24-26 Aug 1988

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