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Periodic feedback stabilization for linear periodic evolution equations

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Periodic feedback stabilization for linear periodic evolution equations/ by Gengsheng Wang, Yashan Xu.
作者:	Wang, Gengsheng.
其他作者:	Xu, Yashan.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xii, 127 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Evolution equations. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-49238-4
ISBN:	9783319492384

Periodic feedback stabilization for linear periodic evolution equations
Wang, Gengsheng.

Periodic feedback stabilization for linear periodic evolution equations[electronic resource] /by Gengsheng Wang, Yashan Xu. - Cham :Springer International Publishing :2016. - xii, 127 p. :ill., digital ;24 cm. - SpringerBriefs in mathematics,2191-8198. - SpringerBriefs in mathematics..

This book introduces a number of recent advances regarding periodic feedback stabilization for linear and time periodic evolution equations. First, it presents selected connections between linear quadratic optimal control theory and feedback stabilization theory for linear periodic evolution equations. Secondly, it identifies several criteria for the periodic feedback stabilization from the perspective of geometry, algebra and analyses respectively. Next, it describes several ways to design periodic feedback laws. Lastly, the book introduces readers to key methods for designing the control machines. Given its coverage and scope, it offers a helpful guide for graduate students and researchers in the areas of control theory and applied mathematics.

ISBN: 9783319492384

Standard No.: 10.1007/978-3-319-49238-4doiSubjects--Topical Terms:

679110
Evolution equations.

LC Class. No.: QA353.P4 / W36 2017

Dewey Class. No.: 515.25

Periodic feedback stabilization for linear periodic evolution equations
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520 $a This book introduces a number of recent advances regarding periodic feedback stabilization for linear and time periodic evolution equations. First, it presents selected connections between linear quadratic optimal control theory and feedback stabilization theory for linear periodic evolution equations. Secondly, it identifies several criteria for the periodic feedback stabilization from the perspective of geometry, algebra and analyses respectively. Next, it describes several ways to design periodic feedback laws. Lastly, the book introduces readers to key methods for designing the control machines. Given its coverage and scope, it offers a helpful guide for graduate students and researchers in the areas of control theory and applied mathematics.
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