Bio-Inspired Collaborative Intelligent Control and Optimization

• Κύριοι συγγραφείς: Ding, Yongsheng (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Chen, Lei (http://id.loc.gov/vocabulary/relators/aut), Hao, Kuangrong (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Studies in Systems, Decision and Control, 118
• Θέματα: Control engineering.; Mathematical optimization.; Computational intelligence.; Control and Systems Theory.; Optimization.; Computational Intelligence.
• Φυσική περιγραφή: VII, 474 p. 220 illus., 123 illus. in color. online resource.
• ISBN: 9789811066894
• ISSN: 2198-4182 ;
• DOI: 10.1007/978-981-10-6689-4

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.