Almost sure convergence of ILC for networked linear systems with random link failures

Shen, Dong

doi:10.1007/s12555-015-0273-y

Cited by 7 publications

(1 citation statement)

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“…Recently, other authors proposed several NILC strategies for packet dropout of system output and input. In detail, the settlement mechanism developed in the work of Shen is equivalent to replacing the dropped output signal with the synchronous data of desired trajectory and replacing the dropped input data with zero input. In general, this kind replacement strategy for dropped system input cannot guarantee zero‐error convergence.…”

Section: Introductionmentioning

confidence: 99%

Iterative learning control for uncertain nonlinear networked control systems with random packet dropout

Zhang

Liu

Ruan

2019

Intl J Robust & Nonlinear

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This paper proposes a novel networked iterative learning control (NILC) scheme with adjustment factor for a class of discrete-time uncertain nonlinear systems with stochastic input and output packet dropout modeled as 0-1 Bernoulli-type random variable. Firstly, the equivalence relation between the realizability of controlled system and the input-output coupling parameter (IOCP) is established. Secondly, in order to overcome the main obstacle arising from the unknown IOCP, an identification technique is developed for it. Thirdly, it is strictly proved that, under certain conditions, the tracking errors driven by the developed NILC scheme are convergent to zero along iteration direction in the sense of expectation. Finally, an example is given to demonstrate the effectiveness of the proposed NILC scheme and the merits of adjustment factor. KEYWORDS iterative learning control, networked control systems, stochastic packet dropouts, uncertain nonlinear systems, unknown input-output coupling parameter Int J Robust Nonlinear Control. 2019;29:3529-3546.wileyonlinelibrary.com/journal/rnc

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Section: Introductionmentioning

confidence: 99%