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Game modeling research for urbanization and epidemic control

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Abstract

To aid in the sustainable development of cities this paper examines methods for urbanization and epidemic control. Using, as a foundation, game theory from modern control theory, a set of strategies for modeling urbanization and epidemic control are examined by analyzing and studying the current condition of China including its population, economy, resources and city management methods. Urbanization and epidemic control solving strategies are probed and the solution to a simulated example is provided. The conclusion from this research is that the speed of Chinese urbanization should be slowed to match the condition of resources and level of city management available.

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Authors and Affiliations

  1. Southern Yangtze University, Wuxi, 214036, PRC

    Bai-Da Qu

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  1. Bai-Da Qu
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Correspondence to Bai-Da Qu.

Additional information

Baida Qu received the B.S. degree in Electrical Automation from the Department of Electro-mechanical Engineering, Fuxin Mining Institute in 1982, the M.S. degree in research of MIS from the System Engineering Institute, Hefei University of Polytechnology in 1990, and the Ph.D. in research of control theory and applications from the Information Science and Engineering School, Northeastern University in 1999.

He was an electromechanical engineer at the Erdaohezi Mine at Heilongjiang Province from 1982 to 1990, a Lecturer, Senior Engineer, Associate Professor at Shenyang Institute of Technology from 1990 to 1999, and a Professor at Shenyang Institute of Technology from 1999 to 2002. He is currently a professor at the Communication and Control Engineering School, Southern Yangtze University.

His research interests are control theory and applications, including H(infinite) control, time-delay systems; system engineering, includes modeling, analysis and simulation, MIS, CMIS; power-electronics and electrical driving; signal detecting and process; industrial automation.

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Qu, BD. Game modeling research for urbanization and epidemic control. Int J Automat Comput 2, 13–19 (2005). https://doi.org/10.1007/s11633-005-0013-5

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  • DOI: https://doi.org/10.1007/s11633-005-0013-5

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