计算机科学 ›› 2019, Vol. 46 ›› Issue (2): 327-332.doi: 10.11896/j.issn.1002-137X.2019.02.050
• 交叉与前沿 • 上一篇
刘加存1, 赵桂艳1, 梅其祥2
LIU Jia-cun1, ZHAO Gui-yan1, MEI Qi-xiang2
摘要: 为了在线性时不变MIMO系统中得到迭代学习控制的最优学习律和便于工程实现的简化学习律,在频域上对其进行了相关研究。以系统的传递函数矩阵为基础,依据Parseval定理,将时域误差关联为频域误差,再利用Jordan标准形矩阵等矩阵性质,得到了学习律的通适收敛条件。通过分析该条件,得出了收敛速度最快的一次迭代就能完成的最优学习律。由于高阶导数不利于消除噪音,因此文中还讨论了导数的降阶,给出了简化学习律算法。仿真结果表明,最优学习律和简化学习律是有效的。
中图分类号:
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