Random Iteration-Varying Lengths for Linear Systems

Chapter

Abstract

This chapter proposes convergence analysis of ILC for discrete-time linear systems with randomly iteration-varying lengths. No prior information is required on the probability distribution of randomly iteration-varying lengths. The conventional P-type update law is adopted with Arimoto-like gains and causal gains. The convergence both in almost sure and mean square senses is proved by direct math calculations.

References

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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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