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Bio-inspired collaborative intellige...

Chen, Lei.

Bio-inspired collaborative intelligent control and optimization

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bio-inspired collaborative intelligent control and optimizationby Yongsheng Ding, Lei Chen, Kuangrong Hao.
Author:	Ding, Yongsheng.
other author:	Chen, Lei.
Published:	Singapore :Springer Singapore :2018.
Description:	vii, 474 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Intelligent control systems.
Online resource:	http://dx.doi.org/10.1007/978-981-10-6689-4
ISBN:	9789811066894$q(electronic bk.)

Bio-inspired collaborative intelligent control and optimization
Ding, Yongsheng.

Bio-inspired collaborative intelligent control and optimization[electronic resource] /by Yongsheng Ding, Lei Chen, Kuangrong Hao. - Singapore :Springer Singapore :2018. - vii, 474 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.1182198-4182 ;. - Studies in systems, decision and control ;v.3..

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.

ISBN: 9789811066894$q(electronic bk.)

Standard No.: 10.1007/978-981-10-6689-4doiSubjects--Topical Terms:

183135
Intelligent control systems.

LC Class. No.: TJ217.5

Dewey Class. No.: 629.8312

Bio-inspired collaborative intelligent control and optimization
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520 $a 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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