Networked iterative learning control for discrete-time systems with stochastic packet dropouts in input and output channels
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发布时间：2025-04-30
发布时间：2025-04-30
论文名称：Networked iterative learning control for discrete-time systems with stochastic packet dropouts in input and output channels
发表刊物：Advances in Difference Equations
摘要：The paper develops a derivative-type (D-type) networked iterative learning control
(NILC) scheme for repetitive discrete-time systems with packet dropouts
stochastically occurred in input and output communication channels. The scheme
generates the sequential recursive-mode control inputs by mending the dropped
instant-wise output with the synchronous desired output, while it drives the plant by
refreshing the dropped instant-wise control input with the used consensus-instant
control input at the previous iteration. By adopting statistic technique, the
convergences of the developed NILC scheme for linear and nonlinear systems are
derived, respectively. The derivations present that under certain conditions the
mathematical expectations of the stochastic tracking errors in the sense of 1-norm
converge to zero. Numerical simulations exhibit the effectiveness and validity
合写作者：Jian Liu, Xiaoe Ruan
卷号：2017(53)
页面范围：1-21
是否译文：否
发表时间：2017-09-01