Release Time:2019-03-11  Hits:

Indexed by: Journal Article

Date of Publication: 2009-02-01

Journal: Journal of Computational Information Systems

Included Journals: Scopus、EI

Volume: 5

Issue: 1

Page Number: 125-132

ISSN: 15539105

Abstract: To improve the convergence rate of model-free learning adaptive controller (MFLAC) based on pseudo-gradient concept, a new design method of MFLAC is presented in this paper. We extend the model-free control law from the viewpoint of innovation modification and introduce the multi-innovation projection algorithm. And the control law parameters are optimized by artificial fish swarm algorithm (AFSA). The performance analysis and simulation results show that the proposed model-free controller based on multi-innovation has faster convergence rate and better tracking performance. Copyright ? 2009 Binary Information Press.