Random Sequence Model for Nonlinear Systems

Chapter

Abstract

The random sequence model of data dropouts is addressed in this chapter for affine nonlinear systems with measurement noises. As an extension of the linear system case, we focus on the almost sure convergence for both intermittent and successive update schemes. For nonlinear systems, the lifting technique is no longer applicable and thus we employ the mathematical induction method to complete the convergence proof.

References

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    Shen, D., Xu, Y.: Iterative learning control for networked nonlinear systems using latest information. In: The 34th Chinese Control Conference, pp. 3079–3084 (2015)Google 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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