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Chinese Intelligent Systems Conference

CISC 2016: Proceedings of 2016 Chinese Intelligent Systems Conference pp 143–151Cite as

Adaptive Neural Network Control for a Class of Nonlinear Systems

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 405))

Abstract

An adaptive neural network control scheme is developed for perturbed nonlinear systems with unknown functions. To avoid the curse of dimensionality, dynamic surface-control (DSC) technique is introduced in the progress of controller design. Moreover, the problem of singularity is solved in estimation of the unknown functions by designing a novel strategy of estimation. It is shown that the DSC-based controller can ensure semi-global uniform ultimate bounded of the closed-loop system, and the tracking error can be arbitrarily small with appropriate design parameters. A simulation example is used to demonstrate the validness of the proposed algorithm.

This work was supported by the National Basic Research Program of China (973 Program: 2012CB821200, 2012CB821201), the NSFC (61134005, 61327807, 61521091, 61520106010, 61304232), and the Fundamental Research Funds for the Central Universities (YWF-16-GJSYS-31, YWF-16-GJSYS-32).

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Author information

Authors and Affiliations

  1. School of Automation Science and Electrical Engineering, The Seventh Research Division and the Center for Information and Control, Beihang University (BUAA), Beijing, 100191, China

    Chao Yang & Yingmin Jia

  2. The Science and Technology on Space Intelligent Control Laboratory, Beijing Institute of Control Engineering, Beijing, 100190, China

    Changqing Chen

Authors
  1. Chao Yang
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  2. Yingmin Jia
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  3. Changqing Chen
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Corresponding author

Correspondence to Chao Yang .

Editor information

Editors and Affiliations

  1. Beihang University , Beijing, China

    Yingmin Jia

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Junping Du

  3. University of Science and Technology Beijing, Beijing, China

    Weicun Zhang

  4. Tsinghua University , Beijing, China

    Hongbo Li

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© 2016 Springer Science+Business Media Singapore

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Cite this paper

Yang, C., Jia, Y., Chen, C. (2016). Adaptive Neural Network Control for a Class of Nonlinear Systems. In: Jia, Y., Du, J., Zhang, W., Li, H. (eds) Proceedings of 2016 Chinese Intelligent Systems Conference. CISC 2016. Lecture Notes in Electrical Engineering, vol 405. Springer, Singapore. https://doi.org/10.1007/978-981-10-2335-4_14

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  • DOI: https://doi.org/10.1007/978-981-10-2335-4_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2334-7

  • Online ISBN: 978-981-10-2335-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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