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Bio-Inspired Collaborative Intelligent Control and Optimization [electronic resource] / by Yongsheng Ding, Lei Chen, Kuangrong Hao.

By: Ding, Yongsheng [author.].
Contributor(s): Chen, Lei [author.] | Hao, Kuangrong [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Systems, Decision and Control: 118Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: VII, 474 p. 220 illus., 123 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811066894.Subject(s): Control engineering | Mathematical optimization | Computational intelligence | Control and Systems Theory | Optimization | Computational IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 629.8312 | 003 Online resources: Click here to access online
Contents:
Introduction -- Human Body Based Intelligent Cooperative Decoupling Controllers -- Bio-Inspired Collaborative Controllers for Multi-Level Systems -- Immune System-Inspired Collaborative Learning Controllers -- Neuroendocrine Based Data-Driven Cooperative Control Systems -- Bio-Network Inspired Cooperative Intelligent Controllers -- Gene Regulatory Network Inspired Cooperative Controllers -- Bio-Inspired Optimization Algorithms -- Bio-Inspired Bi-Directional Optimization Algorithms -- Immune Co-Evolutionary Algorithms for Optimization.
In: Springer Nature eBookSummary: 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.
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Introduction -- Human Body Based Intelligent Cooperative Decoupling Controllers -- Bio-Inspired Collaborative Controllers for Multi-Level Systems -- Immune System-Inspired Collaborative Learning Controllers -- Neuroendocrine Based Data-Driven Cooperative Control Systems -- Bio-Network Inspired Cooperative Intelligent Controllers -- Gene Regulatory Network Inspired Cooperative Controllers -- Bio-Inspired Optimization Algorithms -- Bio-Inspired Bi-Directional Optimization Algorithms -- Immune Co-Evolutionary Algorithms for Optimization.

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.

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