- Format
- Inbunden (Hardback)
- Språk
- Engelska
- Antal sidor
- 272
- Utgivningsdatum
- 2020-06-02
- Upplaga
- 1st ed. 2020
- Förlag
- Springer Verlag, Singapore
- Medarbetare
- Liu, Cheng-Lin / Ji, Zhi-Cheng
- Illustrationer
- 60 Tables, color; 49 Illustrations, color; 47 Illustrations, black and white; XXIV, 272 p. 96 illus.
- Dimensioner
- 234 x 156 x 18 mm
- Vikt
- Antal komponenter
- 1
- Komponenter
- 1 Hardback
- ISBN
- 9789811544613
- 595 g
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Quantitative Analysis and Optimal Control of Energy Efficiency in Discrete Manufacturing System
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Övrig information
Yan Wang received her Ph.D. degree from Nanjing University of Science and Technology, China, in 2006. She is currently a professor at the School of Internet of Things Engineering, Jiangnan University, China. Her research interests include Energy-Efficient Control of Complex Manufacturing System, Industrial Networked System, and Evolutionary Computing. 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.
Innehållsförteckning
Introduction.- Quantitative analysis of real-time access to energy consumption information.- Energy consumption integration model for discrete manufacturing systems.- Construction of energy efficiency quantitative index system for discrete manufacturing system.- Combined energy efficiency quantitative analysis based on rough Set and analytic hierarchy process.- Energy efficiency quantitative analysis based on principal component analysis.- Design and development of quantitative analysis systems.- Energy saving optimization control of single machine equipment.- Integrated Energy Efficiency Optimization Control Based on RWA-MOPSO.- Production energy efficiency optimization control based on teaching and learning algorithm.