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標(biāo)題: Titlebook: Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems; Harold J. Kushner Book 1990 Birkh?user Boston [打印本頁]

作者: 叛亂分子    時(shí)間: 2025-3-21 16:56
書目名稱Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems影響因子(影響力)




書目名稱Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems影響因子(影響力)學(xué)科排名




書目名稱Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems網(wǎng)絡(luò)公開度




書目名稱Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems被引頻次




書目名稱Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems被引頻次學(xué)科排名




書目名稱Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems年度引用




書目名稱Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems年度引用學(xué)科排名




書目名稱Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems讀者反饋




書目名稱Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems讀者反饋學(xué)科排名





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Systems & Control: Foundations & Applicationshttp://image.papertrans.cn/w/image/1021353.jpg
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Harold J. Kushnerrithms and approaches that have been developed for optimizations related to the control plane, the considerable research related to data plane optimization, and topics that have significant potential for research and advances to the state-of-the-art in SDN. Over the past ten years, network programma
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Harold J. Kushnern ubiquitous computing, context-awareness has become a major issue. However, context and context-awareness are crucial not only for mobile and ubiquitous computing. They are also vital for spanning various application areas, such as collaborative softwareand Web engineering,personaldigital assistant
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Harold J. Kushners three domains that work in a synergistic fashion: electrical, magnetic, and mechanical (translation). Over the last few decades, engineering systems have become more and more mechatronic. Automobiles are transforming from being gasoline-powered mechanical devices to electric, hybrid electric and e
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ckno- edged, and “context” has become an area of study in its own right, as evidenced bynumerousworkshops,symposia,seminars,andconferencesonthisarea.CON- TEXT,theoldestconferenceseriesfocusing oncontext,is unique inits emphasis on interdisciplinary research. Previous CONTEXT conferences have been he
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Controlled Singularly Perturbed Systems,cale” systems, and have been the subject of a great deal of work. We refer the reader to [B2, K4, K5], and the references contained therein. For linear systems models, the first group might represent the low frequency part of the system and the second group the high frequency part.
作者: Adornment    時(shí)間: 2025-3-24 23:40
Controlled Singularly Perturbed Systems,cale” systems, and have been the subject of a great deal of work. We refer the reader to [B2, K4, K5], and the references contained therein. For linear systems models, the first group might represent the low frequency part of the system and the second group the high frequency part.
作者: 鳥籠    時(shí)間: 2025-3-25 06:39

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作者: Ataxia    時(shí)間: 2025-3-26 01:58
Controlled Stochastic Differential Equations,ncerning the existence of an optimal control. We work with one particular type of cost functional for simplicity in the development. In Section 1, ordinary admissible controls are introduced and it is shown why they might not be adequate for our needs. Section 2 introduces the notion of “relaxed con
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Functional Occupation Measures and Average Cost per Unit Time Problems, the limit (as . → 0, . → ∞) pathwise cost as the cost associated with an average cost per unit time problem for the averaged system. The concept of feedback relaxed control was introduced and it was shown, under given conditions, that the limit costs were the average costs per unit time for some av
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The Nonlinear Filtering Problem,em of control approximations. In this chapter, we will be concerned with approximations for the nonlinear filtering problem. Suppose that we observe the noise corrupted data .(?) defined by ., where .(?) is a standard vector-valued Wiener process. Owing to the complexity and high dimension of the or
作者: 包庇    時(shí)間: 2025-3-27 08:40
Weak Convergence: The Perturbed Test Function Method,white noise driven” It? equations which were used there. For the singular perturbation problem of Chapter 4, with model (4.1.1), (4.1.2) with control .(·), the martingale method which was used to characterize the limit process can be roughly described as follows (see Theorem 4.1.2): We apply the dif
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Stability Theory,tability. Of course, if the state spaces are bounded, then the cited as-sumptions are automatically satisfied. The deterministic specialization of the above cited tightness requirements is that the trajectories of interest (those of .(?) and/or x.(?)) be bounded on the time interval of interest. To
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作者: PIZZA    時(shí)間: 2025-3-28 17:43
Book 1990portant and fascinating classes of problems in the analysis and design of stochastic control systems and nonlinear filters. The basic mathematical methods which are used and developed are those of the theory of weak con- vergence. The techniques are quite powerful for getting weak convergence or fun
作者: 豎琴    時(shí)間: 2025-3-28 22:00

作者: RUPT    時(shí)間: 2025-3-29 01:49
The Nonlinear Filtering Problem,rd task. The possibility of using some sort of averaging method, such as in Chapter 4, to get a simpler filter (say, one for an averaged system) is quite appealing. One would use the filter for the averaged system, but the input would be the true physical observations .(?).
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Controlled Stochastic Differential Equations,trol” for deterministic problems and shows how to use them to prove the existence of an optimal control. It is also shown that these “generalized” or relaxed controls can be approximated by piecewise constant ordinary controls.
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Stability Theory,prove that boundedness in particular cases for the deterministic problem, some form of Liapunov function method is usually used. Stochastic “Liapunov function methods” are also very useful (if not indispensible at this time) to prove the required tightness for the stochastic problems, and we will discuss several approaches in this chapter.
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Parametric Singularities,for some constant σ. > 0. It will be seen in Section 1 that . (.) is a “wide band noise” process which converges to white noise in the sense that its integral converges to a Wiener process with a state and control dependent bias.
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Harold J. Kushneraining how solutions are found, what the system is doing, and why it operates in a certain way. The methods applied and the advice given have to be explained, s978-3-540-33587-0978-3-540-33588-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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2324-9749 and communication theory and related areas. In fact, the techniques used here can be fruitfully applied to many other areas. The basic random processes of inte978-1-4612-8838-1978-1-4612-4482-0Series ISSN 2324-9749 Series E-ISSN 2324-9757
作者: 茁壯成長    時(shí)間: 2025-4-1 06:37
Weak Convergence,th in the succeeding chapters. The concepts and criteria have a rather abstract flavor as they are initially introduced, but when applied in the succeeding chapters, they take on concrete and readily usable forms.
作者: 雄偉    時(shí)間: 2025-4-1 11:22
Weak Convergence,th in the succeeding chapters. The concepts and criteria have a rather abstract flavor as they are initially introduced, but when applied in the succeeding chapters, they take on concrete and readily usable forms.




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