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.
S. Chen, S. Chen,
M. Zhang, M. Zhang,
"Adaptive (Neural Network) Control In Computer-Integrated-Manufacturing", Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.947008; https://doi.org/10.1117/12.947008