谭少林

一、基本情况

谭少林,博士,硕士生导师,2014年博士毕业于中国科学院数学与系统科学研究院。现为湖南大学电气与信息工程学院讲师。先后在IEEE Trans. Automat. Contr., SAIM J. Contr. Optim., IEEE Trans. Cybernetics, IEEE Circ. & Syst. Mag., Sci. Rep. 等控制领域期刊发表论文多篇。当前主要研究兴趣包括:演化博弈理论 (Evolutionary Game Theory)、复杂网络(Complex Networks)、博弈学习理论(Game Learning) 及其在分布式协同控制中的应用(Distributed Cooperative Control)等。

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二、学习工作经历

2015年12月—2016年12月,澳大利亚RMIT大学,访问学者

2014年7月--- 至今,湖南大学,电气与信息工程学院,助理教授

2009年9月--- 2014年7月,中国科学院数学与系统科学研究院,系统控制重点实验室,博士

2005年9月--- 2009年7月,郑州大学,电子科学与技术系,学士

三、主要研究方向

网络演化博弈 (Networked Evolutionary games)

博弈学习理论及其在分布式协同控制中的应用 (Game Learning and its Application in Distributed Cooperative Control)

复杂系统与控制 (Theory and Control of Complex Systems)

四、主持项目

1. 国家自然科学基金青年项目,2016.01---2018.12,主持

2. 湖南省自然科学基金青年项目,2016.01---2018.12,主持

3. 中国博士后科学基金特别资助,2016.05---2017.05, 主持

4. 中国博士后科学基金一等面上资助,2015.11---2016.11,主持

5. 中央高校基本业务费,2014.07-2018.12,主持

五、主要论文:

期刊文章

[1] Shaolin Tan, Jinhu Lü, and Zongli Lin, “Emerging behavioral consensus of evolutionary dynamics on complex networks,” SIAM Journal on Control and Optimization, vol. 54, no. 6, pp. 3258-3272, 2016. 

[2] Shaolin Tan and Jinhu Lü, “Analysis and control of networked game dynamics via a microscopic deterministic approach,” IEEE Transactions on Automatic Control, vol. 61, no. 12, pp. 4118-4124, 2016. 

[3] Shaolin Tan, Yaonan Wang, Yao Chen, and Zhen Wang, “Evolutionary dynamics of collective behavior selection and drift: Flocking, collapse, and oscillation,” IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2016.2555316, 2016. 

[4] Shaolin Tan, Yaonan Wang, and Yao Chen, “A unified tractable approach for random drifts on dynamical networks,” IEEE Transactions on Circuits and Systems II, vol. 63, no. 3, pp. 299-303, 2016.

[5] Shaolin Tan and Jinhu Lü, “An evolutionary game approach for determination of the structural conflicts in signed networks,” Scientific Reports, doi: 10.1038/srep22022, 2016.

[6] Shaolin Tan, Jinhu Lü, and David John Hill, “Towards a theoretical framework for analysis and intervention of random drift on complex networks,” IEEE Transactions on Automatic Control, vol. 60, no. 2, pp. 576-581, 2015. (ESI高被引论文)

[7] Shaolin Tan and Jinhu Lü, “Characterizing the effect of population heterogeneity on evolutionary dynamics on complex networks,” Scientific Reports, vol. 4, art. no. 5034, 2014. 

[8] Shaolin Tan, Jinhu Lü, Guanrong Chen, and David John Hill, “When structure meets function in evolutionary dynamics on complex networks,” IEEE Circuits and Systems Magazine, vol. 14, no. 4, pp. 36-50, 2014. 

[9] Shaolin Tan, Jinhu Lü, Xinghuo Yu, and David John Hill, “Evolution and main-tenance of cooperation via inheritance of neighborhood relationship,” Chinese Science Bulletin, vol. 58, no. 28-29, pp. 3491-3498, 2013.

[10] Shaolin Tan, Shasha Feng, Pei Wang, and Yao Chen, “Strategy selection in evolutionary game dynamics on group interaction networks,” Bulletin of Mathematical Biology, vol. 76, no. 11, pp. 2785-2805, 2014.

[11] Yao Chen, Wenwu Yu, Shaolin Tan, and Henghui Zhu, “Synchronizing nonlinear complex networks via switching disconnected topology,” Automatica, vol. 70, pp.189-194, 2016.

[12] Yao Chen, Fangfei Li, Bo Hou, Shaolin Tan, and Henghui Zhu, “Convergence analysis of discrete-time consensus algorithm with both self and transmission delays,” Journal of the Franklin Institute, vol. 353, no. 11, pp. 2467-2481, 2016.

[13] Pei Wang, Yuhuan Zhang, Shaolin Tan, and Wan Li, “Explicit ultimate bound sets of a new hyper-chaotic system and its application in estimating the Hausdorff dimension,” Nonlinear Dynamics, vol. 74, pp. 133-142, 2013. 

会议文章:

[14] Shaolin Tan, Jinhu Lü, Yu Hu, and Maciej J. Ogorzalek, “Explore strategy selection in populations via a continuous networked game dynamics,” Proceedings of the 2014 IEEE International Symposium on Circuits and Systems (ISCAS’14), June 1-5, Melbourne, Australia, pp. 2780 – 2783.

[15] Shasha Feng, Shaolin Tan, and Jinhu Lü, “Characterizing the impact of selection on the evolution of cooperation in complex networks,” Proceeding of the 2014 IEEE Congress on Evolutionary computation (CEC’14), July 6-11, Beijing, China, pp. 813-818.

[16] Shaolin Tan, Jinhu Lü, Xinghuo Yu, and David Hill, “Inheritance of spatial neighborhood: a feasible mechanism for evolution and maintenance of cooperation,” Proceedings of the 32th Chinese Control Conference (CCC 2013), July, 26-28, 2013, Xi’an, China, pp. 1025-1029.

[17] Shaolin Tan, Jinhu Lü, Xinghuo Yu, and David Hill, “Characterizing the network structure effect on evolutionary dynamics via a novel measure of structural heterogeneity,” Proceedings of the 25th Chinese Control and Decision Conference (CCDC 2013), May 25-27, 2013, Guiyang, China, pp. 784-789.

[18] Shaolin Tan, Jinhu Lü, Xinghuo Yu, and David Hill, “Monotonicity of fixa-tion probability of evolutionary dynamics on complex networks,” Proceedings of the 38th Annual Conference of the IEEE Industrial Electronics Society (IECON 2012), October 25-28, 2012, Montreal, Canada, pp. 2337-2341.

[19] Shaolin Tan, Jinhu Lü, Xinghuo Yu, and David Hill, “Exploring evolutionary dynamics in a class of structured populations,” Proceedings of the 2012 IEEE International Symposium on Circuits and Systems (ISCAS’12), May 20-23, 2012, Seoul, Korea, pp. 169-172.

[20] Shaolin Tan, Jinhu Lü, and Gianluca Setti, “An analysis of fixation probability of a mutant on a class of weighted networks under neutral selection,” Proceedings of the 37th Annual Conference of the IEEE Industrial Electronics Society (IECON 2011), November 7-10, 2011, Melbourne, Australia, pp. 4024-4028.

 

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