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Using Iterative Learning Control methods for 2-D systems

机译:使用2-D系统的迭代学习控制方法

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In this paper, we discuss the application of Iterative Learning Control (ILC) algorithm in two-dimensional problems. Especially, the Optimal ILC is considered. For this issue by using 1-D model of WAM (Wave Advanced Model), the 2-D model converts to 1-D model. To generate the control rule in every iteration, by using optimization methods, a cost function would be minimized to achieve the 1-D model of WAM, the convergence of this method also will be checked. Besides the application of Iterative methods in continuous 2-D differential equations and nonlinear 2-D systems is examined in the current article.
机译:本文讨论了迭代学习控制(ILC)算法在二维问题中的应用。特别是,考虑最佳ILC。对于使用WAM(Wave Advanced Model)的1-D模型,2-D模型转换为1-D型号。为了在每次迭代中生成控制规则,通过使用优化方法,将最小化成本函数以实现WAM的1-D模型,也将检查该方法的收敛。除了在连续的2-D差分方程中的迭代方法的应用,在当前文章中检查非线性2-D系统。

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