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001 978-3-540-71982-3
003 DE-He213
005 20161121231203.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540719823
_9978-3-540-71982-3
024 7 _a10.1007/978-3-540-71982-3
_2doi
050 4 _aTJ210.2-211.495
050 4 _aT59.5
072 7 _aTJFM1
_2bicssc
072 7 _aTEC037000
_2bisacsh
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.892
_223
100 1 _aMilutinović, Dejan Lj.
_eauthor.
245 1 0 _aCells and Robots
_h[electronic resource] :
_bModeling and Control of Large-Size Agent Populations /
_cby Dejan Lj. Milutinović, Pedro U. Lima.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
300 _aXVIII, 126 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Tracts in Advanced Robotics,
_x1610-7438 ;
_v32
505 0 _aImmune System and T-Cell Receptor Dynamics of a T-Cell Population -- Micro-Agent and Stochastic Micro-Agent Models -- Micro-Agent Population Dynamics -- Stochastic Micro-Agent Model of the T-Cell Receptor Dynamics -- Stochastic Micro-Agent Model Uncertainties -- Stochastic Modeling and Control of a Large-Size Robotic Population -- Conclusions and Future Work.
520 _aCells and Robots is an outcome of the multidisciplinary research extending over Biology, Robotics and Hybrid Systems Theory. It is inspired by modeling reactive behavior of the immune system cell population, where each cell is considered as an independent agent. In our modeling approach, there is no difference if the cells are naturally or artificially created agents, such as robots. This appears even more evident when we introduce a case study concerning a large-size robotic population scenario. Under this scenario, we also formulate the optimal control of maximizing the probability of robotic presence in a given region and discuss the application of the Minimum Principle for partial differential equations to this problem. Simultaneous consideration of cell and robotic populations is of mutual benefit for Biology and Robotics, as well as for the general understanding of multi-agent system dynamics. The text of this monograph is based on the PhD thesis of the first author. The work was a runner-up for the fifth edition of the Georges Giralt Award for the best European PhD thesis in Robotics, annually awarded by the European Robotics Research Network (EURON).
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 0 _aSystem theory.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aMechatronics.
650 0 _aAutomation.
650 1 4 _aEngineering.
650 2 4 _aRobotics and Automation.
650 2 4 _aApplications of Mathematics.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aControl, Robotics, Mechatronics.
650 2 4 _aSystems Theory, Control.
700 1 _aLima, Pedro U.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540719816
830 0 _aSpringer Tracts in Advanced Robotics,
_x1610-7438 ;
_v32
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-71982-3
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c509834
_d509834