000 04375nam a22005055i 4500
001 978-1-4471-2262-3
003 DE-He213
005 20140220083235.0
007 cr nn 008mamaa
008 111013s2012 xxk| s |||| 0|eng d
020 _a9781447122623
_9978-1-4471-2262-3
024 7 _a10.1007/978-1-4471-2262-3
_2doi
050 4 _aTJ163.12
072 7 _aTDPB
_2bicssc
072 7 _aTEC009070
_2bisacsh
072 7 _aTEC008070
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aTricaud, Christophe.
_eauthor.
245 1 0 _aOptimal Mobile Sensing and Actuation Policies in Cyber-physical Systems
_h[electronic resource] /
_cby Christophe Tricaud, YangQuan Chen.
264 1 _aLondon :
_bSpringer London,
_c2012.
300 _aXVIII, 170 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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.
650 0 _aEngineering.
650 0 _aComputer Communication Networks.
650 0 _aTelecommunication.
650 0 _aSoil conservation.
650 1 4 _aEngineering.
650 2 4 _aMechatronics.
650 2 4 _aComputer Communication Networks.
650 2 4 _aControl.
650 2 4 _aCommunications Engineering, Networks.
650 2 4 _aSoil Science & Conservation.
700 1 _aChen, YangQuan.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447122616
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-2262-3
912 _aZDB-2-ENG
999 _c100635
_d100635