DocumentCode
1710030
Title
Neuromorphic controllers
Author
Pourboghrat, Fanad
Author_Institution
Dept. of Electr. Eng., Southern Illinois Univ., Carbondale, IL, USA
fYear
1989
Firstpage
1748
Abstract
The feasibility of utilizing neural networks for the design of learning controllers is investigated. The design of both regulators and trackers for such controllers is considered. The relationship of these learning controllers to conventional adaptive controllers is investigated. This enables a learning methodology that guarantees the stability of the training process under mild conditions to be developed for these networks, with minimal information about the plant dynamics required
Keywords
adaptive control; control system synthesis; learning systems; neural nets; stability; controller design; learning controllers; neural networks; neuromorphic controllers; stability; trackers; Acceleration; Adaptive control; Differential equations; Neural networks; Neuromorphics; Pressing; Programmable control; Recurrent neural networks; Robot control; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location
Tampa, FL
Type
conf
DOI
10.1109/CDC.1989.70452
Filename
70452
Link To Document