000 | 02978nam a22006015i 4500 | ||
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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 |
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024 | 7 |
_a10.1007/b105591 _2doi |
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050 | 4 | _aTJ212-225 | |
072 | 7 |
_aTJFM _2bicssc |
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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. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Control and Information Science, _x0170-8643 ; _v319 |
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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 |