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Performance Improvement for Formation-Keeping Control Using a Neural Network HJI Approach

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Trends in Neural Computation

Part of the book series: Studies in Computational Intelligence ((SCI,volume 35))

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Essex, Wivenhoe Park, CO4 3SQ, Colchester, UK

    Erfu Yang

  2. Department of Computer Science, University of Essex, Wivenhoe Park, CO4 3SQ, Colchester, UK

    Dongbing Gu

  3. Department of Computer Science, University of Essex, Wivenhoe Park, CO4 3SQ, Colchester, UK

    Huosheng Hu

Authors
  1. Erfu Yang
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  2. Dongbing Gu
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  3. Huosheng Hu
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Editor information

Editors and Affiliations

  1. School of Computer Science, The University of Manchester, Killburn Building, Oxford Road, M13 9PL, Manchester, UK

    Ke Chen

  2. School of Electrical & Electronic Engineering, Nanyang Technological University, Nanyang Avenue 50, 639798, Singapore, Singapore

    Lipo Wang

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© 2007 Springer-Verlag Berlin Heidelberg

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Yang, E., Gu, D., Hu, H. (2007). Performance Improvement for Formation-Keeping Control Using a Neural Network HJI Approach. In: Chen, K., Wang, L. (eds) Trends in Neural Computation. Studies in Computational Intelligence, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36122-0_17

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  • DOI: https://doi.org/10.1007/978-3-540-36122-0_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36121-3

  • Online ISBN: 978-3-540-36122-0

  • eBook Packages: EngineeringEngineering (R0)

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