Title :
Adaptive (neural network) control in computer-integrated-manufacturing
Author_Institution :
Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA
Abstract :
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
Keywords :
adaptive control; distributed control; industrial robots; knowledge based systems; knowledge representation; manufacturing computer control; manufacturing data processing; neural nets; adaptive control; factory automation; highly distributed CIM environment; neural network; neurocomputer; real-time controller; robotics; Adaptive control; Adaptive systems; Automatic control; Computer integrated manufacturing; Distributed control; Load modeling; Manufacturing automation; Neural networks; Programmable control; Robotics and automation;
Conference_Titel :
Intelligent Control, 1988. Proceedings., IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-8186-2012-9
DOI :
10.1109/ISIC.1988.65520
