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Titlebook: Bio-Inspired Collaborative Intelligent Control and Optimization; Yongsheng Ding,Lei Chen,Kuangrong Hao Book 2018 Springer Nature Singapore

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發(fā)表于 2025-3-21 18:19:59 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Bio-Inspired Collaborative Intelligent Control and Optimization
影響因子2023Yongsheng Ding,Lei Chen,Kuangrong Hao
視頻videohttp://file.papertrans.cn/187/186335/186335.mp4
發(fā)行地址The first book on bio-inspired collaborative intelligent control and optimization.Includes a multidisciplinary study that closely integrates theory and practice.Highlights biologically inspired cooper
學科分類Studies in Systems, Decision and Control
圖書封面Titlebook: Bio-Inspired Collaborative Intelligent Control and Optimization;  Yongsheng Ding,Lei Chen,Kuangrong Hao Book 2018 Springer Nature Singapore
影響因子.This book presents state-of-the-art research advances in the field of biologically inspired cooperative control theories and their applications. It describes various biologically inspired cooperative control and optimization approaches and highlights real-world examples in complex industrial processes. Multidisciplinary in nature and closely integrating theory and practice, the book will be of interest to all university researchers, control engineers and graduate students in intelligent systems and control who wish to learn the core principles, methods, algorithms, and applications..
Pindex Book 2018
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發(fā)表于 2025-3-21 22:58:04 | 只看該作者
Human Body Based Intelligent Cooperative Decoupling Controllers,is chapter, we discuss the developments of some effective decoupling control methods for the coupling phenomenon among complex systems. Firstly, a bio-inspired decoupling controller (BDC) from the bi-regulation principle of the growth hormone (GH) in neuroendocrine system is proposed. Secondly, an i
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Immune Inspired Collaborative Learning Controllers,ntelligent controller (RLIC) based on primary–secondary response mechanism of immune system is presented. Secondly, an iterative learning control method based on the recognition, response, and memory mechanism of immune system (IRRM-ILC) is proposed. Finally, based on the biological immune mechanism
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Bio-Network Inspired Cooperative Intelligent Controllers,. 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. Se
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Bio-Inspired Optimization Algorithms,esign of an engineering process from some set of available alternatives is called engineering optimization. In this chapter, several bio-inspired optimization algorithms are proposed and applied to engineering process. Firstly, we propose a new synergetic immune clonal selection algorithm (SICSA) to
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