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Mesh Exponential Stability of Look-Ahead Vehicle Following System with Time Delays

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Advances in Neural Networks – ISNN 2012 (ISNN 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7367))

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Abstract

In this paper, the problem on the mesh stability for a class of look-ahead vehicle following system with time delays is investigated under the assumption that all isolated subsystems are exponentially stable. Based on the vector Lyapunov function method and inequality technique, several criteria for checking the global exponential stability and global exponential mesh stability are obtained.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Chongqing Jiaotong University, Chongqing, 400074, China

    Qiankun Song

  2. Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu, 610031, China

    Jiye Zhang

Authors
  1. Qiankun Song
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  2. Jiye Zhang
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Editor information

Editors and Affiliations

  1. Department of Mechanical & Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong

    Jun Wang

  2. School of Electrical and Computer Engineering, Oklahoma State University, 74078, Stillwater, OK, USA

    Gary G. Yen

  3. Department of Electrical and Computer Engineering, University of Cyprus, 75 Kallipoleos Avenue, 1678, Nicosia, Cyprus

    Marios M. Polycarpou

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© 2012 Springer-Verlag Berlin Heidelberg

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Song, Q., Zhang, J. (2012). Mesh Exponential Stability of Look-Ahead Vehicle Following System with Time Delays. In: Wang, J., Yen, G.G., Polycarpou, M.M. (eds) Advances in Neural Networks – ISNN 2012. ISNN 2012. Lecture Notes in Computer Science, vol 7367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31346-2_36

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  • DOI: https://doi.org/10.1007/978-3-642-31346-2_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31345-5

  • Online ISBN: 978-3-642-31346-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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