摘要：This paper proposes an iterative learning control (lLC) algorithm with the purpose ofcontroling the output of a linear stochastic system presented in state space form to track a de-sired realizable trajectory. It is proved that the algorithm converges to the optimal one a.s. underthe condition that the product input-output coupling matrices are full-column rank in addition tosome assumptions on noises. No other knowledge about system matrices and covariance matrices isrequired.

原文链接:http://www.cqvip.com//QK/84009X/200301/11653655.html

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