Dmitry Karamzin

Dr. Dmitry Karamzin


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 January 2011 in Journal of Optimization Theory and Applications
Verified
Journal Article
Closed access
PDF file
AAA. V. Arutyunov
A. V. Arutyunov
DKDmitry Karamzin
Dmitry Karamzin
FPFernando Lobo Pereira
Fernando Lobo Pereira

23 December 2019 in Journal of Optimization Theory and Applications
Verified
Journal Article
Closed access
PDF file
AAAram Arutyunov
Aram Arutyunov
DKDmitry Karamzin
Dmitry Karamzin

1 January 2005 in SIAM Journal on Control and Optimization
Verified
Journal Article
Closed access
AAA. Arutyunov
A. Arutyunov
DKDmitry Karamzin
Dmitry Karamzin
FPFernando Lobo Pereira
Fernando Lobo Pereira
In this article, a free-time impulsive control problem with state constraints and equality and inequality constraints on the trajectory endpoints is considered. A weakened maximum principle is obtained for problems with data measurable in the time variable, being the time transversality conditions deduced with the help of some extra convexity assumption on the state constraints. In the case of smooth problems a nondegenerate maximum principle is derived by using a penalty function method.

1 December 2006 in Journal of Mathematical Sciences
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Journal Article
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DKDmitry Karamzin
Dmitry Karamzin

1 February 2012 in Nonlinear Analysis
Verified
Journal Article
Closed access
AAA.V. Arutyunov
A.V. Arutyunov
DKDmitry Karamzin
Dmitry Karamzin
FPFernando Lobo Pereira
Fernando Lobo Pereira

1 January 2011 in Discrete and Continuous Dynamical Systems
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Journal Article
Open access
PDF file
AAAram Arutyunov
Aram Arutyunov
DKDmitry Karamzin
Dmitry Karamzin
FPFernando Lobo Pereira
Fernando Lobo Pereira
This paper concerns the investigation of a general impulsive control problem. The considered impulsive processes are of non-standard type: control processes admit ordinary type controls as the impulse develops. New necessary conditions of optimality in the form of Pontryagin Maximum Principle are obtained. These conditions are applied to a model problem and are shown to yield useful information about optimal control modes.