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008 151119s2016 gw | s |||| 0|eng d
020 _a9783319266060
040 _aES-MaUEC
050 4 _aTJ223.M53
_bS553 2016 EB
100 1 _aShi, Dawei
_998007
_0Local
245 1 0 _aEvent-Based State Estimation :
_bA Stochastic Perspective
_cby Dawei Shi, Ling Shi, Tongwen Chen
250 _a1st ed.
260 _aCham
_bSpringer International Publishing
_c2016
300 _a1 recurso en línea (XIII, 208 p.)
_b37 ilustraciones, 32 ilustraciones col.
336 _aTexto (visual)
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 1 _aStudies in Systems, Decision and Control
_x2198-4182
_v41
520 _aThis book explores event-based estimation problems. It shows how several stochastic approaches are developed to maintain estimation performance when sensors perform their updates at slower rates only when needed. The self-contained presentation makes this book suitable for readers with no more than a basic knowledge of probability analysis, matrix algebra and linear systems. The introduction and literature review provide information, while the main content deals with estimation problems from four distinct angles in a stochastic setting, using numerous illustrative examples and comparisons. The text elucidates both theoretical developments and their applications, and is rounded out by a review of open problems. This book is a valuable resource for researchers and students who wish to expand their knowledge and work in the area of event-triggered systems. At the same time, engineers and practitioners in industrial process control will benefit from the event-triggering technique that reduces communication costs and improves energy efficiency in wireless automation applications.
942 _2lcc
_cLE
988 _aEBOOK, EBSPRINGER
650 7 _aSistemas de control digital
_9150526
_0comprobar BNE19951103645
_2embne
700 1 _aShi, Ling
_998008
_0Local
700 1 _aChen, Tongwen
_998009
_0Local
830 0 _aStudies in Systems, Decision and Control
_x2198-4182
_v41
_9134109
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-26606-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9783319266060
907 _a.b12944968
_b10-10-17
_c21-11-16
998 _am
_a_alco
_a_vill
_b22-03-17
_cm
_dz
_ei
_feng
_ggw
_h0
945 _aTJ223.M53 S553 2016 EB
_g1
_ieBOOK
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_z06-04-17
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