Xiefei Yan
Research Subjects
Xiefei Yan has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
- Yun Zou
School of Automation, Nanjing University of Science and Technology, Nanjing, China
4 shared publications - Xinjin Liu
Laboratory of Soft Fibrous Materials and Physics, Center for Textile-X, Jiangnan University
1 shared publication
Latest Publications
- 16 October 2009
- Published by Springer Nature in Control Theory and Technology
- Vol. 7 (4) , 433-437
A new model of the harmonic control based on Hadamard product
- 16 October 2009
- Published by Springer Nature in Control Theory and Technology
- Vol. 7 (4) , 433-437
A new model of the harmonic control based on Hadamard product
- 11 February 2008
- Published by Wiley in ETRI Journal
- Vol. 30 (1) , 81-88
Optimal Internet Worm Treatment Strategy Based on the Two-Factor Model
- 11 February 2008
- Published by Wiley in ETRI Journal
- Vol. 30 (1) , 81-88
Optimal Internet Worm Treatment Strategy Based on the Two-Factor Model
- 1 January 2008
- Published by Elsevier in Mathematical and Computer Modelling
- Vol. 47 (1-2) , 235-245
Optimal and sub-optimal quarantine and isolation control in SARS epidemics
- 1 January 2008
- Published by Elsevier in Mathematical and Computer Modelling
- Vol. 47 (1-2) , 235-245
Optimal and sub-optimal quarantine and isolation control in SARS epidemics
- 1 December 2006
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-6
Optimal Quarantine and Isolation Control in SEQIJR SARS Model
This paper discusses the application of the optimal control to a SEQIJR SARS model. In the model, two control variables representing the quarantine and isolation strategies are considered. The necessary conditions for the corresponding optimal control in the sense of minimum cost are obtained via the maximum principle. The numerical control laws are presented in an iterative method. The simulation results demonstrate that the maximum applications of quarantining and isolation strategies in the early phase of the epidemic are typical characteristics of the optimal control. Otherwise, the control effect will be much worse. This gives a theoretical interpretation to the fact that the early quarantine and isolation strategies are critically important to control the outbreaks of epidemics
- 1 December 2006
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-6
Optimal Quarantine and Isolation Control in SEQIJR SARS Model
This paper discusses the application of the optimal control to a SEQIJR SARS model. In the model, two control variables representing the quarantine and isolation strategies are considered. The necessary conditions for the corresponding optimal control in the sense of minimum cost are obtained via the maximum principle. The numerical control laws are presented in an iterative method. The simulation results demonstrate that the maximum applications of quarantining and isolation strategies in the early phase of the epidemic are typical characteristics of the optimal control. Otherwise, the control effect will be much worse. This gives a theoretical interpretation to the fact that the early quarantine and isolation strategies are critically important to control the outbreaks of epidemics