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论文类型：期刊论文

发表时间：2013-04-10

发表刊物：Journal of Information and Computational Science

收录刊物：EI、Scopus

卷号：10

期号：6

页面范围：1797-1803

ISSN号：15487741

摘要：Based on the basic theory and deficient points of Model-free Learning Adaptive Control (MFLAC) method, the Multi-innovation (MI) theory and Particle Swarm Optimization (PSO) algorithm were introduced into the improved measures. The simulation results show that the proposed controller has faster convergence rate and better tracking performance. The improved method, MI-MFLAC based on PSO, has the advantage of simplicity and effectiveness. The method is easy to implement for nonlinear system. Copyright ? 2013 Binary Information Press.