Overview
- 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
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 118)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Bio-Inspired Collaborative Intelligent Control and Optimization
Authors: Yongsheng Ding, Lei Chen, Kuangrong Hao
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-981-10-6689-4
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2018
Hardcover ISBN: 978-981-10-6688-7Published: 20 November 2017
Softcover ISBN: 978-981-13-4930-0Published: 23 December 2018
eBook ISBN: 978-981-10-6689-4Published: 06 November 2017
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: VII, 474
Number of Illustrations: 97 b/w illustrations, 123 illustrations in colour
Topics: Control and Systems Theory, Optimization, Computational Intelligence