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A Novel Intelligent Controller Based on Modulation of Neuroendocrine System

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Advances in Neural Networks – ISNN 2005 (ISNN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3498))

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Abstract

Based on the modulation of neuroendocrine system and the hypothalamo-pituitary-adrenal axis model, we present a novel intelligent controller (NEIC). The NEIC, with a typical two-level structure, is composed of a primary control unit and a secondary one. According to the real-time control error, the primary control unit can adjust the control parameters of the secondary unit dynamically based on the hormone-release law. The NEIC can strengthen or weaken control action during the different control error range. The simulation results demonstrate that the NEIC’s control stability and adaptability are better than those of the conventional PID controller.

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References

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Author information

Authors and Affiliations

  1. College of Information Sciences and Technology,  

    Bao Liu, Lihong Ren & Yongsheng Ding

  2. MOE Engineering Research Center of Digitized Textile & Fashion Technology, Donghua University, Shanghai, 200051, China

    Yongsheng Ding

Authors
  1. Bao Liu
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  2. Lihong Ren
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  3. Yongsheng Ding
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Editor information

Editors and Affiliations

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

    Jun Wang

  2. The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China

    Xiao-Feng Liao

  3. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

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© 2005 Springer-Verlag Berlin Heidelberg

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Liu, B., Ren, L., Ding, Y. (2005). A Novel Intelligent Controller Based on Modulation of Neuroendocrine System. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427469_18

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  • DOI: https://doi.org/10.1007/11427469_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25914-5

  • Online ISBN: 978-3-540-32069-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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