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Titlebook: Control Under Lack of Information; A. N. Krasovskii,N. N. Krasovskii Book 1995 Birkhäuser Boston 1995 algorithms.information.stability.sys

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书目名称Control Under Lack of Information
编辑A. N. Krasovskii,N. N. Krasovskii
视频video
丛书名称Systems & Control: Foundations & Applications
图书封面Titlebook: Control Under Lack of Information;  A. N. Krasovskii,N. N. Krasovskii Book 1995 Birkhäuser Boston 1995 algorithms.information.stability.sys
描述The mathematical theory of control, essentially developed during the last decades, is used for solving many problems of practical importance. The efficiency of its applications has increased in connection with the refine­ ment of computer techniques and the corresponding mathematical soft­ ware. Real-time control schemes that include computer-realized blocks are, for example, attracting ever more attention. The theory of control provides abstract models of controlled systems and the processes realized in them. This theory investigates these models, proposes methods for solv­ ing the corresponding problems and indicates ways to construct control algorithms and the methods of their computer realization. The usual scheme of control is the following: There is an object F whose state at every time instant t is described by a phase variable x. The object is subjected to a control action u. This action is generated by a control device U. The object is also affected by a disturbance v generated by the environment. The information on the state of the system is supplied to the generator U by the informational variable y. The mathematical character of the variables x, u, v and yare determined
出版日期Book 1995
关键词algorithms; information; stability; system
版次1
doihttps://doi.org/10.1007/978-1-4612-2568-3
isbn_softcover978-1-4612-7583-1
isbn_ebook978-1-4612-2568-3Series ISSN 2324-9749 Series E-ISSN 2324-9757
issn_series 2324-9749
copyrightBirkhäuser Boston 1995
The information of publication is updating

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Stochastic program synthesis of pure strategies for a positional functional,f the optimal strategies u.(·) = u.(.) and = v.(.,ε). These constructions were suggested and developed in [61], [64]-[66], [80], [98]. They are connected with the idea of stochastic program synthesis, which was developed in Ekatherinburg [57], [60], [61], [75], [77], [80], [144].
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Pure strategies for quasi-positional functionals,also the actions . and .. We call these functionals γ. quasi-positional because the optimal strategies .(·) = .(y.,ε) and .(·) = (., ε) are based on the . . that can include now not only current position {.} of the controlled x-system but also other variables. We give some Classification of these fu
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Mixed strategies for positional and quasi-positional functionals,addle point condition in a small game (see (5.1) and (10.2)) for the controlled System (3.1) or (10.1) is not valid. In this case the problem can be solved effectively within the framework of the . strategies (see the particular case in Section 2). The description of this Solution is the subject of
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Systems & Control: Foundations & Applicationshttp://image.papertrans.cn/c/image/237305.jpg
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Pure strategies for positional functionals,f the basic notions that enable us to formulate the problems of control under lack of Information. We obtain the problem of control with the purpose of optimizing the ensured result. This gives the game problem on minimax of a chosen index.
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Stochastic program synthesis of pure strategies for a positional functional,f the optimal strategies u.(·) = u.(.) and = v.(.,ε). These constructions were suggested and developed in [61], [64]-[66], [80], [98]. They are connected with the idea of stochastic program synthesis, which was developed in Ekatherinburg [57], [60], [61], [75], [77], [80], [144].
发表于 2025-3-23 09:35:30 | 显示全部楼层
Mixed strategies for positional and quasi-positional functionals,addle point condition in a small game (see (5.1) and (10.2)) for the controlled System (3.1) or (10.1) is not valid. In this case the problem can be solved effectively within the framework of the . strategies (see the particular case in Section 2). The description of this Solution is the subject of the following sections.
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