Adaptive (Neural Network) Control In Computer-Integrated-Manufacturing

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.