Sergey Aseev
Guest Research Scholar
Exploratory Modeling of Human-natural Systems Research Group
Advancing Systems Analysis Program
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. & Veliov, V.M. (2015). Maximum principle for infinite-horizon optimal control problems under weak regularity assumptions. Proceedings of the Steklov Institute of Mathematics 291 (1) 22-39. 10.1134/S0081543815090023.
Aseev, S.M. (2015). On the boundedness of optimal controls in the infinite-horizon process. Proceedings of the Steklov Institute of Mathematics 291 38-48. 10.1134/S0081543815080040.
Aseev, S.M. (2014). On some properties of the adjoint variable in the relations of the Pontryagin maximum principle for optimal economic growth problems. Proceedings of the Steklov Institute of Mathematics 278 (S1) 11-21. 10.1134/S0081543814090028.
Manzoor, T., Aseev, Sergey, Rovenskaya, Elena , & Muhammad, A. (2014). Optimal control for sustainable consumption of natural resources. DOI:10.3182/20140824-6-ZA-1003.01474. In: 19th IFAC World Congress, 24-29 August 2014.
Aseev, S.M. & Veliov, V.M. (2014). Maximum Principle for Infinite-horizon Optimal Control Problems under Weak Regularity Assumptions. Research Report 2014-06, Research Unit ORCOS, Institute of Mathematical Methods in Economics, Vienna University of Technology, Austria (June 2014)