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Книга Boundary Synchronization for Hyperbolic Systems Tatsien Li

Boundary Synchronization for Hyperbolic Systems

Автор: Tatsien Li, Bopeng Rao
Език: Английски език
Корици: С твърди корици
Издател: Springer Nature Switzerland AG
Наличност: Външен склад
Изпращаме след 10-13 дни
126.32 € 247.07 лв
Within this carefully presented monograph, the authors extend the universal phenomenon of synchroniz...

Информация за книгата

Автор
Tatsien Li, Bopeng Rao
Език
Английски език
Корици
Книга - С твърди корици
Издадена
2019
страници
333
EAN
9783030328481
Enbook ID
24647320
Издател
Springer Nature Switzerland AG
Теглоt
682
Размери
155 x 235 x 24

Пълно описание

Within this carefully presented monograph, the authors extend the universal phenomenon of synchronization from finite-dimensional dynamical systems of ordinary differential equations (ODEs) to infinite-dimensional dynamical systems of partial differential equations (PDEs). By combining synchronization with controllability, they introduce the study of synchronization to the field of control and add new perspectives to the investigation of synchronization for systems of PDEs. With a focus on synchronization for a coupled system of wave equations, the text is divided into three parts corresponding to Dirichlet, Neumann, and coupled Robin boundary controls. Each part is then subdivided into chapters detailing exact boundary synchronization and approximate boundary synchronization, respectively. The core intention is to give artificial intervention to the evolution of state variables through appropriate boundary controls for realizing the synchronization in a finite time, creating a novel viewpoint into the investigation of synchronization for systems of partial differential equations, and revealing some essentially dissimilar characteristics from systems of ordinary differential equations. Primarily aimed at researchers and graduate students of applied mathematics and applied sciences, this text will particularly appeal to those interested in applied PDEs and control theory for distributed parameter systems.

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