Bio-Inspired Collaborative Intelligent Control and Optimization: Studies in Systems, Decision and Control, cartea 118
Autor Yongsheng Ding, Lei Chen, Kuangrong Haoen Limba Engleză Hardback – 20 noi 2017
Toate formatele și edițiile | Preț | Express |
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Specificații
ISBN-13: 9789811066887
ISBN-10: 9811066884
Pagini: 474
Ilustrații: VII, 474 p. 220 illus., 123 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.85 kg
Ediția:1st ed. 2018
Editura: Springer Nature Singapore
Colecția Springer
Seria Studies in Systems, Decision and Control
Locul publicării:Singapore, Singapore
ISBN-10: 9811066884
Pagini: 474
Ilustrații: VII, 474 p. 220 illus., 123 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.85 kg
Ediția:1st ed. 2018
Editura: Springer Nature Singapore
Colecția Springer
Seria Studies in Systems, Decision and Control
Locul publicării:Singapore, Singapore
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
The first book on bio-inspired collaborative intelligent control and optimization Includes a multidisciplinary study that closely integrates theory and practice Highlights biologically inspired cooperative control and optimization examples in real-world complex industrial processes Includes supplementary material: sn.pub/extras