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Bio-Inspired Collaborative Controllers for Multi-Level Systems

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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))

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Abstract

In this chapter, three bio-inspired collaborative controls are proposed for multi-level systems. Firstly, a novel bio-inspired multi-layered intelligent cooperative controller (BMLICC) is proposed. Secondly, a novel cytokine-network-based stretching network (CNSN) is proposed to achieve the desired control performance in large production lines. Finally, a novel immune-based self–adaptive collaborative control allocation (ICCA) method is proposed for multi-level stretching processes in large industrial production lines.

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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-Inspired Collaborative Controllers for Multi-Level Systems. 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_3

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  • DOI: https://doi.org/10.1007/978-981-10-6689-4_3

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