Ding, Yongsheng.
Bio-Inspired Collaborative Intelligent Control and Optimization [electronic resource] / by Yongsheng Ding, Lei Chen, Kuangrong Hao. - 1st ed. 2018. - VII, 474 p. 220 illus., 123 illus. in color. online resource. - Studies in Systems, Decision and Control, 118 2198-4190 ; . - Studies in Systems, Decision and Control, 118 .
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.
9789811066894
10.1007/978-981-10-6689-4 doi
Control engineering.
Mathematical optimization.
Computational intelligence.
Control and Systems Theory.
Optimization.
Computational Intelligence.
TJ212-225
629.8312 003
Bio-Inspired Collaborative Intelligent Control and Optimization [electronic resource] / by Yongsheng Ding, Lei Chen, Kuangrong Hao. - 1st ed. 2018. - VII, 474 p. 220 illus., 123 illus. in color. online resource. - Studies in Systems, Decision and Control, 118 2198-4190 ; . - Studies in Systems, Decision and Control, 118 .
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.
9789811066894
10.1007/978-981-10-6689-4 doi
Control engineering.
Mathematical optimization.
Computational intelligence.
Control and Systems Theory.
Optimization.
Computational Intelligence.
TJ212-225
629.8312 003