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Wang, Gengsheng, Xu, Yashan - Periodic Feedback Stabilization for Linear Periodic Evolution Equations (SpringerBriefs in Mathematics) - 9783319492377 - V9783319492377
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Periodic Feedback Stabilization for Linear Periodic Evolution Equations (SpringerBriefs in Mathematics)

€ 80.53
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Description for Periodic Feedback Stabilization for Linear Periodic Evolution Equations (SpringerBriefs in Mathematics) Paperback. Series: SpringerBriefs in Mathematics. Num Pages: 127 pages, 1 colour illustrations, biography. BIC Classification: PBKJ; PBKQ; PBU; TGMD4. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 8. Weight in Grams: 226.

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 ... Read more

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Product Details

Format
Paperback
Publication date
2017
Publisher
Springer
Condition
New
Series
SpringerBriefs in Mathematics
Number of Pages
127
Place of Publication
Cham, Switzerland
ISBN
9783319492377
SKU
V9783319492377
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Wang, Gengsheng, Xu, Yashan
Prof. Gengsheng Wang received his Ph.D. in Mathematics from Ohio University (Athens, USA) in 1994. He is currently Luojia Professor at the School of Mathematics and Statistics, and Director of the Institute of Mathematics, at Wuhan University, China. His research work mainly focus on optimal control problems, (in particular, time optimal control problems), controllability and stabilization for ordinary differential equations, ... Read more

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