Control of Distributed Parameter and Stochastic Systems

. Ed(s): Chen, Shuping; Li, Xunjing; Yong, Jiongming; Zhou, Xun Yu

ISBN 10: 147574868X ISBN 13: 9781475748680
Editorial: Springer-Verlag New York Inc., 2013
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Proceedings of the IFIP WG 7.2 International Conference, June 19-22, 1998, Hangzhou, PR of China Editor(s): Chen, Shuping; Li, Xunjing; Yong, Jiongming; Zhou, Xun Yu. Series: IFIP Advances in Information and Communication Technology. Num Pages: 344 pages, biography. BIC Classification: KJQ; PBKQ; PBT; THR. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 534. . 2013. Softcover reprint of the original 1st ed. 1999. Paperback. . . . . Books ship from the US and Ireland. N° de ref. del artículo V9781475748680

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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.

Reseña del editor: 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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Detalles bibliográficos

Título: Control of Distributed Parameter and ...
Editorial: Springer-Verlag New York Inc.
Año de publicación: 2013
Encuadernación: Encuadernación de tapa blanda
Condición: New

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proceedings of the IFIP WG 7.2 International Conference, June 19-22, 1998, Hangzhou, PR of China In the mathematical treatment of many problems which arise in physics, economics, engineering, management, etc., the researcher frequently faces two majo. Nº de ref. del artículo: 4207304

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Taschenbuch. Condición: Neu. Control of Distributed Parameter and Stochastic Systems | Proceedings of the IFIP WG 7.2 International Conference, June 19-22, 1998 Hangzhou, China | Shuping Chen (u. a.) | Taschenbuch | xviii | Englisch | 2013 | Springer | EAN 9781475748680 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 105639388

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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 348 pp. Englisch. Nº de ref. del artículo: 9781475748680

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 348 pp. Englisch. Nº de ref. del artículo: 9781475748680

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9781475748680

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