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Optimal Iterative Learning Control for Nonlinear Discrete-Time Systems

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Software Engineering and Knowledge Engineering: Theory and Practice

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 115))

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Abstract

In this paper, the problem about optimal iterative learning control of general nonlinear discrete-time systems has been studied. Based on the sufficient conditions of the existence of optimal iterative learning control in general nonlinear discrete-time systems, in view of the practical application, propose an approximate iterative algorithm, and prove the approximate iterative control restraining to the optimum control.

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Authors and Affiliations

  1. College of Mechanical & Electrical Engineering, China Jiliang University, Hangzhou, China

    Hong-wei Xu

Authors
  1. Hong-wei Xu
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Correspondence to Hong-wei Xu .

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Editors and Affiliations

  1. Central China Normal University, Lvting Yajing, Hongshan Qu 10-3-102, Wuhan, 430079, China, People's Republic

    Yanwen Wu

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Xu, Hw. (2012). Optimal Iterative Learning Control for Nonlinear Discrete-Time Systems. In: Wu, Y. (eds) Software Engineering and Knowledge Engineering: Theory and Practice. Advances in Intelligent and Soft Computing, vol 115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25349-2_10

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  • DOI: https://doi.org/10.1007/978-3-642-25349-2_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25348-5

  • Online ISBN: 978-3-642-25349-2

  • eBook Packages: EngineeringEngineering (R0)

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