Abstract
This chapter proposes ILC for discrete-time affine nonlinear systems with randomly iteration-varying lengths. No prior information on the probability distribution of random iteration length is required prior for controller design. The conventional P-type update law is used with a modified tracking error because of randomly iteration-varying lengths. A novel technical lemma is proposed for the strict convergence analysis in pointwise sense.
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Shen, D. (2018). Random Iteration-Varying Lengths for Nonlinear Systems. In: Iterative Learning Control with Passive Incomplete Information. Springer, Singapore. https://doi.org/10.1007/978-981-10-8267-2_13
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DOI: https://doi.org/10.1007/978-981-10-8267-2_13
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