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Bio-Network Inspired Cooperative Intelligent Controllers

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Bio-Inspired Collaborative Intelligent Control and Optimization

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 118))

Abstract

It is not easy to control most of the complicated nonlinear processes with satisfactory control effectiveness by using conventional control strategies. In this chapter, some bio-network inspired cooperative intelligent controllers and strategies are proposed. Firstly, we propose a novel nonlinear guided intelligent controller (NGIC) inspired by the bi-cooperative regulation mechanism and the regulation characteristics of glucose in human body. Secondly, based on the modulation mechanism of neuroendocrine-immune system , we present a novel nonlinear optimized intelligent controller (NOIC) and provide a method to optimize and adjust its control parameters dynamically. Finally, a new control strategy based on the bi-direction hormone regulating mechanism of neuroendocrine-immune (NEI) network is proposed, and applied to single-phase photovoltaic grid-connected inverter .

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Author information

Authors and Affiliations

  1. College of Information Science and Technology, Donghua University, Shanghai, China

    Yongsheng Ding

  2. College of Information Science and Technology, Donghua University, Shanghai, China

    Lei Chen

  3. College of Information Science and Technology, Donghua University, Shanghai, China

    Kuangrong Hao

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  1. Yongsheng Ding
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  2. Lei Chen
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  3. Kuangrong Hao
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Correspondence to Yongsheng Ding .

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Ding, Y., Chen, L., Hao, K. (2018). Bio-Network Inspired Cooperative Intelligent Controllers. In: Bio-Inspired Collaborative Intelligent Control and Optimization. Studies in Systems, Decision and Control, vol 118. Springer, Singapore. https://doi.org/10.1007/978-981-10-6689-4_6

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  • DOI: https://doi.org/10.1007/978-981-10-6689-4_6

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  • Online ISBN: 978-981-10-6689-4

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