Title :
Neuromorphic adaptive control
Author :
Bar-Kana, Izhak ; Guez, Allon
Author_Institution :
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
Abstract :
A neuromorphic computing architecture for adaptive control of a class of nonlinear systems is presented. Starting with some prior assumptions about stabilizability of the plants, a stable unsupervised architecture is obtained. It is a parallel distributed architecture, and it is shown that it provides bounded tracking and asymptotic regulation, following a class of teacher models. The feasibility of the method is demonstrated for a robotic manipulator
Keywords :
adaptive control; computerised control; neural nets; nonlinear control systems; parallel architectures; stability; adaptive control; asymptotic regulation; neuromorphic computing architecture; nonlinear systems; parallel distributed architecture; robotic manipulator; stabilizability; teacher models; tracking; unsupervised architecture; Adaptive control; Control systems; Distributed control; Modems; Neuromorphics; Nonlinear systems; Parameter estimation; Programmable control; Stability; Vectors;
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
DOI :
10.1109/CDC.1989.70449
