000 04220nam a22003735i 4500
001 287184
003 MX-SnUAN
005 20160429154536.0
007 cr nn 008mamaa
008 150903s2012 xxk| o |||| 0|eng d
020 _a9781447122623
_99781447122623
024 7 _a10.1007/9781447122623
_2doi
035 _avtls000339534
039 9 _a201509030317
_bVLOAD
_c201404300401
_dVLOAD
_y201402060937
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTJ163.12
100 1 _aTricaud, Christophe.
_eautor
_9316239
245 1 0 _aOptimal Mobile Sensing and Actuation Policies in Cyber-physical Systems /
_cby Christophe Tricaud, YangQuan Chen.
264 1 _aLondon :
_bSpringer London,
_c2012.
300 _axviii, 170 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aIntroduction -- Distributed Parameter Systems: Controllability, Observability and Identification -- Optimal Heterogeneous Mobile Sensing for Parameter Estimation of Distributed Parameter Systems -- Optimal Mobile Remote Sensing Policies -- On-line Optimal Mobile Sensing Policies: Finite-horizon Control Framework -- Optimal Mobile Actuation/Sensing Policies for Parameter Estimation off Distributed Parameter Systems -- Optimal Mobile Sensing with Fractional Sensor Dynamics -- Optimal Mobile Remote Sensing Policy for Downscaling and Assimiliation Problems -- Conclusions and Future Work -- Appendices: Notation; RIOTS Tutorial; Implentations.
520 _aA successful cyber-physical system, a complex interweaving of hardware and software in direct interaction with some parts of the physical environment, relies heavily on proper identification of the, often pre-existing, physical elements. Based on information from that process, a bespoke “cyber” part of the system may then be designed for a specific purpose. Optimal Mobile Sensing and Actuation Strategies in Cyber-physical Systems focuses on distributed-parameter systems the dynamics of which can be modelled with partial differential equations. Such systems are very challenging to measure, their states being distributed throughout a spatial domain. Consequently, optimal strategies are needed and systematic approaches to the optimization of sensor locations have to be devised for parameter estimation. The text begins by reviewing the newer field of cyber-physical systems and introducing background notions of distributed parameter systems and optimal observation theory. New research opportunities are then defined within this framework. Two important problems considered are optimal mobile sensor trajectory planning and the accuracy effects and allocation of remote sensors. These are followed up with a solution to the problem of optimal robust estimation. Actuation strategies are then introduced into the framework with the purpose of improving estimation and optimizing the trajectories of both mobile sensors and mobile actuators simultaneously. The large number of illustrations within the text will assist the reader to visualize the application of the methods proposed. A group of similar examples are used throughout the book to help the reader assimilate the material more easily.   Under a given cyber-physical systems infrastructure, communications abilities of mobile sensors and/or mobile actuators may be needed, and this can be considered within the framework presented in this text. Application examples cover fields from environmental science to national security so that readers are encouraged to link the ideas of cyber-physical systems with their own research.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aChen, YangQuan.
_eautor
_9316069
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781447122616
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4471-2262-3
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c287184
_d287184