Sergey Aseev
Guest Research Scholar
Exploratory Modeling of Human-natural Systems Research Group
Advancing Systems Analysis Program
Contact
Biography
Sergey M. Aseev was a participant in the 1986 Young Scientists Summer Program. He returned to IIASA in January 2001 to join the Dynamic Systems Project. He is currently affiliated with the Exploratory Modeling of Human-Natural Systems (EM) Research Group in the IIASA Advancing Systems Analysis (ASA) Program. He works in the field of mathematical theory of optimal control. His current research focuses on optimal control problems arising in economics.Aseev graduated from the Faculty of Applied Mathematics and Cybernetics, Moscow State University in 1980. In 1983, he defended his PhD thesis and began his affiliation with the Steklov Mathematical Institute of the Russian Academy of Sciences. In 1998, he received his Doctorate in Physics and Mathematics from the Steklov Institute, and in 2008, he became a corresponding member of the Russian Academy of Sciences. He is currently a Chief Research Scholar at the Steklov Institute.
Last update: 22 DEC 2021
Publications
Aseev, S.M., Kryazhimskiy, A.V., & Tarasyev, A.M. (2001). First Order Necessary Optimality Conditions for a Class of Infinite Horizon Optimal Control Problems. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-01-007
Aseev, S.M. (2001). Extremal problems for differential inclusions with state constraints. Proceedings of the Steklov Institute of Mathematics 1-63.
Aseev, S.M., Kryazhimskiy, A.V., & Tarasyev, A.M. (2001). The Pontryagin maximum principle and transversality conditions for a class of optimal economic growth problems. In: Preprints of the 5th IFAC Symposium on Nonlinear Control Systems, 4-6 July 2001.
Aseev, S.M., Kryazhimskiy, A.V., & Tarasyev, A.M. (2001). The Pontryagin maximum principle and transversality conditions for an optimal control problem with infinite time interval. Proceedings of the Steklov Institute of Mathematics 64-80.
Aseev, S.M. (1999). Methods of regularization in nonsmooth problems of dynamic optimization. Journal of Mathematical Sciences 94 (3) 1366-1393.
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