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Avtomatika i Telemekhanika, 2017, Issue 6, Pages 84–105
(Mi at14821)
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This article is cited in 16 scientific papers (total in 16 papers)
Stochastic Systems
Optimization of quasilinear stochastic control-nonlinear diffusion systems
M. M. Khrustalev, D. S. Rumyantsev, K. A. Tsar'kov Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
Abstract:
Consideration was given to the problem of optimal control of the quasilinear stochastic continuous-time systems whose coefficients in the general case depend nonlinearly on the program control. A special case of this problem is represented by optimization of the incompletefeedback control strategies. An optimization algorithm was proposed based on the method of gradient descent in the functional space. Its relaxation property was substantiated in theoretical terms. The necessary optimality conditions are formulated and proved within the framework of the formulated problem.
Keywords:
optimal stochastic control, quasilinear dynamic systems, nonlinear dynamic system.
Citation:
M. M. Khrustalev, D. S. Rumyantsev, K. A. Tsar'kov, “Optimization of quasilinear stochastic control-nonlinear diffusion systems”, Avtomat. i Telemekh., 2017, no. 6, 84–105; Autom. Remote Control, 78:6 (2017), 1028–1045
Linking options:
https://www.mathnet.ru/eng/at14821 https://www.mathnet.ru/eng/at/y2017/i6/p84
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