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Hopf Bifurcation Control for a Single Neuron Model with Delay-Dependent Parameters via State Feedback

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Book cover Advances in Neural Networks – ISNN 2011 (ISNN 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6675))

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Abstract

This paper deals with Hopf bifurcation control for a single neuron model with delay-dependent parameters. It has been shown that the system without control cannot guarantee a stationary state. As the range parameter of the system passes a critical value, Hopf bifurcation occurs early. To control the Hopf bifurcation, a state feedback controller is proposed to postpone the onset of undesirable Hopf bifurcation. Numerical simulation results confirm that the state feedback is efficient in controlling Hopf bifurcation.

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References

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Author information

Authors and Affiliations

  1. School of Mathematics and Information Technology, Nanjing Xiaozhuang University, Nanjing, 210017, China

    Min Xiao

Authors
  1. Min Xiao
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Editor information

Editors and Affiliations

  1. Institute of Automation, Key Laboratory of Complex Systems and Intelligence Science, Chinese Academy of Sciences, 100190, Beijing, China

    Derong Liu

  2. College of Information Science and Engineering, Shenyang, Northeastern University, 110004, Liaoing, China

    Huaguang Zhang

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

    Marios Polycarpou

  4. Dipartimento di Elettronica, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milano, Italy

    Cesare Alippi

  5. Deptartment of Electrical, Computer and Biomedical Engineering, University of Rhode Island, RI 02881, Kingston, USA

    Haibo He

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© 2011 Springer-Verlag Berlin Heidelberg

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Xiao, M. (2011). Hopf Bifurcation Control for a Single Neuron Model with Delay-Dependent Parameters via State Feedback. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21105-8_17

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  • DOI: https://doi.org/10.1007/978-3-642-21105-8_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21104-1

  • Online ISBN: 978-3-642-21105-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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