Abstract
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.
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