Bio-Inspired Collaborative Intelligent Control and Optimization

• Main Authors: Ding, Yongsheng (Author, 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)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Studies in Systems, Decision and Control, 118
• Subjects: Control engineering.; Mathematical optimization.; Computational intelligence.; Control and Systems Theory.; Optimization.; Computational Intelligence.
• Physical Description: 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.