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Stability Analysis of Network Data Flow Control for Dynamic Link Capacity Case

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Intelligent Control and Automation

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 344))

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Abstract

Much attention has been paid upon network data flow control in recent years. The main problem in this field is how to design good algorithm or control law for flow rate of network data flow sources and for updated price of communication links. Base on Lyapunov stability theory, this paper makes a deep analysis of stability of such network data flow control systems with the consideration of dynamic link capacity case. Simulations show that the stability analysis of dynamic link capacity of network data flow control system provided in the paper is enlightening and meaningful to further understand and design good control strategy of network data flow control problem.

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Author information

Authors and Affiliations

  1. College of Information Engineering, Yangzhou University, Yangzhou, 225009, China

    Yuequan Yang & Yaqin Li

  2. Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, China

    Min Tan & Jianqiang Yi

  3. Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA

    John T. Wen

  4. Shanxi Jinyao Coking Co. Ltd, Shanxi, 030001, China

    Xuewu Guo

Authors
  1. Yuequan Yang
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  2. Yaqin Li
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  3. Min Tan
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  4. Jianqiang Yi
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  5. John T. Wen
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  6. Xuewu Guo
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Editor information

Editors and Affiliations

  1. Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China

    De-Shuang Huang

  2. Queen’s University, Belfast, UK

    Kang Li  & George William Irwin  & 

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© 2006 Springer-Verlag Berlin Heidelberg

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Yang, Y., Li, Y., Tan, M., Yi, J., Wen, J.T., Guo, X. (2006). Stability Analysis of Network Data Flow Control for Dynamic Link Capacity Case. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Control and Automation. Lecture Notes in Control and Information Sciences, vol 344. Springer, Berlin, Heidelberg . https://doi.org/10.1007/978-3-540-37256-1_46

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  • DOI: https://doi.org/10.1007/978-3-540-37256-1_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37255-4

  • Online ISBN: 978-3-540-37256-1

  • eBook Packages: EngineeringEngineering (R0)

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