Paper
29 March 1988 Adaptive (Neural Network) Control In Computer-Integrated-Manufacturing
S. Chen, M. Zhang
Author Affiliations +
Abstract
In a highly distributed CIM (Computer-Integrate-Manufacturing) environment, adaptive control using neural network processors is proposed. First, neural network concepts are employed to represent and to model knowledge in robotics and automation application domains. Then, the model captured by a neural network emulator serves as the distributed and adaptive controller of a CIM environment.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. Chen and M. Zhang "Adaptive (Neural Network) Control In Computer-Integrated-Manufacturing", Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); https://doi.org/10.1117/12.947008
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Neural networks

Control systems

Systems modeling

Adaptive control

Computing systems

Model-based design

Robotics

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