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Random Iteration-Varying Lengths for Nonlinear Systems

  • Dong Shen
Chapter

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.

References

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    Shen, D., Zhang, W., Xu, J.-X.: Iterative learning control for discrete nonlinear systems with randomly iteration varying lengths. Syst. Control Lett. 96, 81–87 (2016)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.College of Information Science and TechnologyBeijing University of Chemical TechnologyBeijingChina

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