Title :
Neuromorphic controllers
Author :
Pourboghrat, Fanad
Author_Institution :
Dept. of Electr. Eng., Southern Illinois Univ., Carbondale, IL, USA
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;
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
DOI :
10.1109/CDC.1989.70452
