Optimal state filters for networked iterative learning control systems with data losses and noises
Xinyang Guo,
Lixun Huang,
Lijun Sun
et al.
Abstract:SummaryData losses and noises in both forward and feedback channels significantly impact the convergence of networked iterative learning control (ILC) systems. To address this issue, this article considers a class of linear time‐invariant objects controlled by proportional ILC controllers, an optimal state filter is then designed at the ILC controller side that aims to guarantee the convergence of the input transmitted by ILC controllers. First, two data transmission processes are introduced to account for the… Show more
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