Title :
A systematic classification of neural-network-based control
Author_Institution :
Tech. Chem. Labor, Eidgenossische Tech. Hochschule, Zurich, Switzerland
Abstract :
The rich variety of control schemes involving neural networks, works which are proposed in the literature, is organised into a consistent perspective that isolate the various distinct features of each scheme and classifies them in a multi-level structure. The presented structure affords coherent and unambiguous analysis of past and new control schemes, reveals relevant links and gaps as by-products, and serves to better focus future research
Keywords :
bibliographies; neurocontrollers; classification; multi-level structure; neural-network-based control; Bibliographies; Neural network applications; Neurocontrollers;
Conference_Titel :
Control Applications, 1994., Proceedings of the Third IEEE Conference on
Conference_Location :
Glasgow
Print_ISBN :
0-7803-1872-2
DOI :
10.1109/CCA.1994.381234
