Title :
A neural net control system with parallel adaptive enhancements
Author :
Tan, W.K. ; Lee, T.H.
Author_Institution :
Department of Electrical Engineering, National University of Singapore, Kent Ridge (0511), Singapore
Abstract :
In this paper, we present a technique for using an additional parallel neural network to provide adaptive enhancements to a basic fixed neural net-based nonlinear control system. Properties of the controller are discussed, and the efficacy of the proposed technique has been tested in both simulation studies as well as in actual real-time experiments.
Keywords :
Adaptive control; Adaptive systems; Control nonlinearities; Control systems; Neural networks; Notice of Violation; Open loop systems; Programmable control; Size control; Testing;
Conference_Titel :
American Control Conference, 1992
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-0210-9
