Sun Bing Job Title: Professor E-mail: sun345@bit.edu.cn
He proposed and proved the convergence of the optimal feedback control solving algorithm called Guo-Sun numerical optimization (GSNO) method. He has published 45 papers in IEEE Transactions on Automatic Control. He has presided over and completed a number of scientific research projects such as the National Natural Science Foundation Project, the Youth Fund project, and the Beijing Outstanding Talents Training Funding Project. Is the National Natural Science Foundation Committee and other review platform review experts. More see personal English homepage: https://sunamss.github.io/ < br >
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1. Control theory of distributed parameter systems
2. Optimal Control Theory of Differential Equations and its Application
3. Numerical solution of optimal feedback control
4. Necessary conditions for optimality of optimal control problem
Ph.D., Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, 2005
1. From July 2015 to now, Professor and doctoral Supervisor, School of Mathematics and Statistics, Beijing Institute of Technology (October 2015)
2. January 2015 - February 2015, Visiting Scholar, Department of Mathematics, University of Washington, USA
3. From September 2008 to June 2015, Lecturer/Associate Professor, School of Mathematics and Statistics, Beijing Institute of Technology
4. Lecturer, Center for Gifted Youth, Johns Hopkins University, United States, March 2007-August 2008
5. Postdoctoral Fellow, School of Computing and Applied Mathematics, University of the Witwatersrand, South Africa, August 2005-August 2006
1. Bing Sun and Bao-Zhu Guo. Convergence of an upwind finite-difference scheme for Hamilton-Jacobi-Bellman equation in optimal control. IEEE Transactions on Automatic Control: 2015, 60(11), 3012-3017.
2. Bing Sun and Shan-Shan Wang. Maximum principle for optimal distributed control of viscous weakly dispersive Degasperis-Procesi equation. Mathematical Methods in the Applied Sciences: 2015, 38(18), 4576-4586.
3. Bao-Zhu Guo and Bing Sun. Dynamic programming approach to the numerical solution of optimal control with paradigm by a mathematical model for drug therapies of HIV/AIDS. Optimization and Engineering: 2014, 15(1), 119-136.
4. Bing Sun. Maximum principle for optimal distributed control of the viscous Dullin-Gottwald-Holm equation. Nonlinear Analysis: Real World Applications: 2012, 13(1), 325-332.
5. Bing Sun. Maximum principle for optimal boundary control of the Kuramoto-Sivashinsky equation. Journal of the Franklin Institute: 2010, 347(2), 467-482.
6. Bing Sun. Optimal control of vibrations of an elastic beam. IMA Journal of Mathematical Control and Information: 2009, 26(2), 151-162.
7. Bao-Zhu Guo and Bing Sun. A new algorithm for finding numerical solutions of optimal feedback control. IMA Journal of Mathematical Control and Information: 2009, 26(1), 95-104.
8. Bao-Zhu Guo and Bing Sun. Numerical solution to the optimal feedback control of continuous casting process. Journal of Global Optimization: 2007, 39(2), 171-195.
9. Bao-Zhu Guo and Bing Sun. Numerical solution to the optimal birth feedback control of a population dynamics: viscosity solution approach. Optimal Control Applications and Methods: 2005, 26(5), 229-254.
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