Investigating vulnerability of ecological industrial symbiosis network based on automatic control theory-Reference-Cited by-同舟云学术

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Investigating vulnerability of ecological industrial symbiosis network based on automatic control theory

Published:2018-07-21 Issue:27 Volume:25 Page:27321-27333
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Wang Qingsong,Tang Hongrui,Yuan Xueliang^ORCID,Zuo Jian,Zhang Jian,Gao Zhenlei,Hong Jinglan

Funder

National Key R&D Plan

National Natural Science Foundation of China

Key R&D Plan of Shandong Province

Fundamental Research Funds of Shandong University

Innovation Fund of Shandong University

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

http://link.springer.com/article/10.1007/s11356-018-2753-0/fulltext.html

Reference62 articles.

1. Albino V, Fraccascia L, Giannoccaro I (2016) Exploring the role of contracts to support the emergence of self-organized industrial symbiosis networks: an agent-based simulation study. J Clean Prod 112:4353–4366

2. Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54(15):2787–2805

3. Azimirad E, Pariz N, Sistani MBN (2010) A novel fuzzy model and control of single intersection at urban traffic network. IEEE Syst J 4(1):107–111

4. Balaji PG, Srinivasan D (2010) Multi-agent system in urban traffic signal control. IEEE Comput Intell Mag 5(4):43–51

5. Benjamin MFD, Tan RR, Razon LF (2015) A methodology for criticality analysis in integrated energy systems. Clean Techn Environ Policy 17(4):935–946

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