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Iterative Learning Control for Discrete-time Linear Systems Through Fading Channels

机译：通过衰落频道离散时间线性系统的迭代学习控制

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摘要

In this paper, iterative learning control(ILC) is used to solve the problem of accurate tracking of random systems with fading channel. The fading problem is a type of multiplicative uncertainties, which is generally caused by unreliable communication networks. It is modeled by a random variable with prior statistics for correcting received signals. Both output fading case and input fading case are discussed in this paper. The P-type learning algorithms with a decreasing learning gain are proposed with almost sure convergence analysis. Illustrative simulations are provided to verify the theoretical results.
机译：在本文中，迭代学习控制（ILC）用于解决渐进通道准确跟踪随机系统的问题。衰落问题是一种乘法不确定性，通常由不可靠的通信网络引起。它由随机变量建模，其中具有先前统计的用于校正接收信号。本文讨论了输出衰落案例和输入衰落案例。提出了具有降低学习增益的P型学习算法，几乎肯定会收敛分析。提供了说明性模拟以验证理论结果。

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