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This article is cited in 2 scientific papers (total in 2 papers)
Stochastic Systems
Sequential improvement method in probabilistic criteria optimization problems for linear-in-state jump diffusion systems
M. M. Khrustalev, K. A. Tsarkov Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
Abstract:
Here we study the problems of probabilistic and quantile optimization of multidimensional controllable jump diffusion. As the main tool we use Chebyshev-type probability estimates. With them the problems under consideration are reduced to one auxiliary deterministic optimal control problem in terms of the moment characteristics of the process. To find its solution, we use Krotov's global improvement method.
Keywords:
probabilistic criterion, quantile optimization, jump diffusion, Krotov method.
Citation:
M. M. Khrustalev, K. A. Tsarkov, “Sequential improvement method in probabilistic criteria optimization problems for linear-in-state jump diffusion systems”, Avtomat. i Telemekh., 2023, no. 6, 100–121; Autom. Remote Control, 84:6 (2023), 626–640
Linking options:
https://www.mathnet.ru/eng/at16178 https://www.mathnet.ru/eng/at/y2023/i6/p100
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