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

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書目名稱Control Under Lack of Information影響因子(影響力)




書目名稱Control Under Lack of Information影響因子(影響力)學(xué)科排名




書目名稱Control Under Lack of Information網(wǎng)絡(luò)公開度




書目名稱Control Under Lack of Information網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Control Under Lack of Information被引頻次學(xué)科排名




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書目名稱Control Under Lack of Information讀者反饋




書目名稱Control Under Lack of Information讀者反饋學(xué)科排名

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裂口

peritonitis

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].

detach

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

就職

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

就職

Systems & Control: Foundations & Applicationshttp://image.papertrans.cn/c/image/237305.jpg

一再煩擾

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.

Additive

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].

克制

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.