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首页> 外文期刊>Journal of information and computational science >Improved Model Free Learning Control Method for Nonlinear System
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Improved Model Free Learning Control Method for Nonlinear System

机译:非线性系统的改进的无模型学习控制方法

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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.
机译:基于基本理论和不足,将无模型学习自适应控制(MFLAC)方法,多元创新(MI)理论和粒子群优化(PSO)算法的要点引入改进措施。仿真结果表明,该控制器具有更快的收敛速度和更好的跟踪性能。改进的基于PSO的MI-MFLAC方法具有简单有效的优点。该方法对于非线性系统易于实现。

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