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Control of Distributed Parameter and Stochastic Systems (IFIP Advances in Information and Communicat 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Control of Distributed Parameter and Stochastic Systems (IFIP Advances in Information and Communicat
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Chen, Shuping; Ch'en, Shu-P'ing; Zhou, Xun Yu 作者
Springer
譯者
1999-03-31 出版日期
343 頁數
USD 259.00 價格
Hardcover
叢書系列
9780412837906 圖書編碼

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發表於2024-07-04

Control of Distributed Parameter and Stochastic Systems (IFIP Advances in Information and Communicat 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Control of Distributed Parameter and Stochastic Systems (IFIP Advances in Information and Communicat 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Control of Distributed Parameter and Stochastic Systems (IFIP Advances in Information and Communicat 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Control of Distributed Parameter and Stochastic Systems (IFIP Advances in Information and Communicat 在線電子書 用戶評價

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Control of Distributed Parameter and Stochastic Systems (IFIP Advances in Information and Communicat 在線電子書 著者簡介

Control of Distributed Parameter and Stochastic Systems (IFIP Advances in Information and Communicat 在線電子書 著者簡介

Control of Distributed Parameter and Stochastic Systems (IFIP Advances in Information and Communicat 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Control of Distributed Parameter and Stochastic Systems (IFIP Advances in Information and Communicat 在線電子書 圖書描述

In the mathematical treatment of many problems which arise in physics, economics, engineering, management, etc., the researcher frequently faces two major difficulties: infinite dimensionality and randomness of the evolution process. Infinite dimensionality occurs when the evolution in time of a process is accompanied by a space-like dependence; for example, spatial distribution of the temperature for a heat-conductor, spatial dependence of the time-varying displacement of a membrane subject to external forces, etc. Randomness is intrinsic to the mathematical formulation of many phenomena, such as fluctuation in the stock market, or noise in communication networks. Control theory of distributed parameter systems and stochastic systems focuses on physical phenomena which are governed by partial differential equations, delay-differential equations, integral differential equations, etc., and stochastic differential equations of various types. This has been a fertile field of research with over 40 years of history, which continues to be very active under the thrust of new emerging applications. Among the subjects covered are: Control of distributed parameter systems; Stochastic control; Applications in finance/insurance/manufacturing; Adapted control; Numerical approximation . It is essential reading for applied mathematicians, control theorists, economic/financial analysts and engineers.

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