论文信息 - Online adaptation of RBF centers for adaptive control

Online adaptation of RBF centers for adaptive control

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.

A.K. Chan | G.A. Becus

[1] F. Girosi,et al. Networks for approximation and learning , 1990, Proc. IEEE.

[2] R. Sanner,et al. Irregular sampling theory and scattered-center radial Gaussian networks , 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

[3] Stephen A. Billings,et al. Please Scroll down for Article , 1992 .

[4] P. Kokotovic. Foundations of Adaptive Control , 1991 .

[5] Chris Bishop,et al. Improving the Generalization Properties of Radial Basis Function Neural Networks , 1991, Neural Computation.

[6] Shang-Liang Chen,et al. Orthogonal least squares learning algorithm for radial basis function networks , 1991, IEEE Trans. Neural Networks.