000 02978nam a22006015i 4500
001 978-3-540-31587-2
003 DE-He213
005 20161121231021.0
007 cr nn 008mamaa
008 100806s2005 gw | s |||| 0|eng d
020 _a9783540315872
_9978-3-540-31587-2
024 7 _a10.1007/b105591
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aHofbaur, Michael W.
_eauthor.
245 1 0 _aHybrid Estimation of Complex Systems
_h[electronic resource] /
_cby Michael W. Hofbaur.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2005.
300 _aXIX, 148 p. 69 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Control and Information Science,
_x0170-8643 ;
_v319
505 0 _aHybrid Estimation at a Glance -- Probabilistic Hybrid Automata -- Hybrid Estimation -- Case Studies -- Conclusion.
520 _aThis monograph provides a tool-set for hybrid estimation that can successfully monitor the behavior of complex artifacts with a large number of possible operational and failure modes such as production plants, automotive or aeronautic systems, and autonomous robots. For this purpose, ideas from the fields of System Theory and Artificial Intelligence are taken and hybrid estimation is reformulated as a search problem. This allows to focus the estimation onto highly probably operational modes, without missing symptoms that might be hidden among the noise in the system. Additionally a novel approach to continue hybrid estimation in the presence of unknown behavioral modes and to automate system analysis and synthesis tasks for on-line operation are presented. This leads to a flexible model-based hybrid estimation scheme for complex artifacts that robustly copes with unforeseen situations.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 0 _aSystem theory.
650 0 _aVibration.
650 0 _aDynamical systems.
650 0 _aDynamics.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aMechatronics.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aVibration, Dynamical Systems, Control.
650 2 4 _aApplications of Mathematics.
650 2 4 _aControl, Robotics, Mechatronics.
650 2 4 _aSystems Theory, Control.
650 2 4 _aArtificial Intelligence (incl. Robotics).
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540257271
830 0 _aLecture Notes in Control and Information Science,
_x0170-8643 ;
_v319
856 4 0 _uhttp://dx.doi.org/10.1007/b105591
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c507333
_d507333