Title :
Online adaptation of RBF centers for adaptive control
Author :
Chan, Alistair K. ; Bécus, Georges A.
Author_Institution :
Dept. of Aerosp. Eng. & Eng. Mech., Cincinnati Univ., OH, USA
Abstract :
In this paper we present a novel online method to move radial basis function center locations. This technique is applied in a nonlinear adaptive control system context. We examine a class of nonlinear systems which are linear in the input and demonstrate the feasibility of the online center adaptation algorithm, through analysis and example
Keywords :
adaptive control; feedforward neural nets; learning systems; neurocontrollers; nonlinear systems; real-time systems; adaptive control; learning method; nonlinear systems; online center adaptation; radial basis function center locations; radial basis function networks; Adaptive control; Aerospace engineering; Assembly; Control system analysis; Erbium; Lattices; Multidimensional systems; Network topology; Neural networks; Radial basis function networks;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.533843
