Overview
- Focuses on quantitative analysis and optimal control of energy efficiency in discrete manufacturing systems
- Proposes applicable methods to study the issues of energy efficiency quantitative analysis and integrated energy efficiency optimization control
- Presents new research findings that could serve as benchmark solutions for future research
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Table of contents (11 chapters)
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Front Matter
Keywords
About this book
In turn, the book addresses the design and development of quantitative analysis systems. To save energy consumption on the basis of energy efficiency analysis, it presents several optimal control strategies, including one for single-machine equipment, an integrated approach based on RWA-MOPSO, and one for production energy efficiency based on a teaching and learning optimal algorithm. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of discrete manufacturing systems.
Authors and Affiliations
About the authors
Cheng-Lin Liu received his Ph.D. degree from Southeast University, China, in 2008. He is currently a professor at the School of Internet of Things Engineering, Jiangnan University, China. His research interests include Coordination Control of Multi-agent Systems and Distributed Control of Networked Systems.
Zhi-Cheng Ji received his Ph.D. degree from China University of Mining and Technology, China, in 2004. He is currently the vice president of Jiangnan University.
Bibliographic Information
Book Title: Quantitative Analysis and Optimal Control of Energy Efficiency in Discrete Manufacturing System
Authors: Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji
DOI: https://doi.org/10.1007/978-981-15-4462-0
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-4461-3Published: 02 June 2020
Softcover ISBN: 978-981-15-4464-4Published: 02 June 2021
eBook ISBN: 978-981-15-4462-0Published: 01 June 2020
Edition Number: 1
Number of Pages: XXIV, 272
Number of Illustrations: 47 b/w illustrations, 49 illustrations in colour
Topics: Systems Theory, Control, Manufacturing, Machines, Tools, Processes, Energy Policy, Economics and Management, Optimization