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Indexed by:期刊论文

Date of Publication:2009-05-01

Journal:INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL

Included Journals:SCIE、Scopus

Volume:5

Issue:5

Page Number:1367-1377

ISSN No.:1349-4198

Key Words:Model-free; PSO; Multi-innovation; Adaptive control

Abstract:To improve the convergence rate of model-free learning adaptive controller (MFLAC) and decrease the difficulty of parameters choice in control law, anew design method of MFLAC is presented. The controller proposed in this paper is designed based on pseudo gradient concept with solution by introducing multi-innovation method and the control law parameters optimization by particle swarm optimization (PSO). Finally, we present some numerical examples to illustrate the effectiveness of the proposed method.