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Begell House作者,编辑及审稿者
Begell House作者,编辑及审稿者
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作者
编辑
审稿人
Sergey V. Sokolov
Rostov State University of Railway Transport (Russia)
Get more info about author from Directory of Specialists
Articles
Optimal Control Using Nonlinear Probabilistic Tests
Vol. 30 '1998
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Journal of Automation and Information Sciences
A Posteriori Synthesis of Optimal Control of Nonlinear Stochastic Structures
Vol. 31 '1999
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Journal of Automation and Information Sciences
Analytical Synthesis of the Probabilistic Characteristics of One Class of Non-Markovian Processes
Vol. 31 '1999
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Journal of Automation and Information Sciences
Synthesis of Locally Optimal Control by Using Generalized Probability Criterions
Vol. 31 '1999
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Journal of Automation and Information Sciences
Synthesis of Optimal Control of Stochastic Observations Based on a Priori Information Model of Measurements
Vol. 31 '1999
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Journal of Automation and Information Sciences
A Posteriori Locally Optimal Control of Stochastic Structures
Vol. 32 '2000
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Journal of Automation and Information Sciences
Multicriteria Control of Nonlinear Objects with Distributed Parameters
Vol. 33 '2001
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Journal of Automation and Information Sciences
On Application of Informational Criteria in Problems of Control of Nonlinear Stochastic Systems
Vol. 34 '2002
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Journal of Automation and Information Sciences
The Suboptimal Stochastic Control in Differential Game
Vol. 34 '2002
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Journal of Automation and Information Sciences
The Synthesis of A Posteriori Control in the Problem of a Stochastic Differential Game
Vol. 34 '2002
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Journal of Automation and Information Sciences
On Solving the Problem of a Differential Game for Distributed Dynamic Systems
Vol. 36 '2004
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Journal of Automation and Information Sciences
The Solution of the Identification Problem of Stochastic Process Structure at Nonlinear Dimension
Vol. 37 '2005
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Journal of Automation and Information Sciences
Nonlinear Parametric Identification Based on the Generalized Probabilistic Criteria
Vol. 40 '2008
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Journal of Automation and Information Sciences
Structural Recognition of the Nonlinear Discrete Dynamic Objects Based on the Generalized Probabilistic Criteria
Vol. 46 '2014
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Journal of Automation and Information Sciences
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