000 | 04317nam a22006375i 4500 | ||
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001 | 978-3-031-22140-8 | ||
003 | DE-He213 | ||
005 | 20240730164443.0 | ||
007 | cr nn 008mamaa | ||
008 | 230313s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031221408 _9978-3-031-22140-8 |
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024 | 7 |
_a10.1007/978-3-031-22140-8 _2doi |
|
050 | 4 | _aTK7895.E42 | |
050 | 4 | _aTK5105.8857 | |
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_a621.38 _223 |
100 | 1 |
_aViola, Jairo. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _984581 |
|
245 | 1 | 0 |
_aDigital-Twin-Enabled Smart Control Engineering _h[electronic resource] : _bA Framework and Case Studies / _cby Jairo Viola, YangQuan Chen. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2023. |
|
300 |
_aXII, 111 p. 67 illus., 61 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aSynthesis Lectures on Engineering, Science, and Technology, _x2690-0327 |
|
505 | 0 | _aDigital Twin Background -- A Digital Twin Development Framework -- Digital Twin Enabling Capabilities -- Smart Control Engineering Enabled by Digital Twin -- Summary and Future Research Opportunities. | |
520 | _aThis book presents a novel design framework for the development of Digital Twin (DT) models for process- and motion-control applications. It is based on system-data acquisition using cutting-edge computing technologies, modelling of physical-system behavior through detailed simultaneous simulation of different aspects of the system, and optimal dynamic behavior-matching of the process. The design framework is enhanced with real-time data analytics to improve the performance of the DT's behavior-matching with the real system or physical twin. The methods of creating a DT detailed in Digital-Twin-Enabled Smart Control Engineering make possible the study of a system for real-time controller tuning and fault detection. They also facilitate life-cycle analysis for multiple critical and dangerous conditions that cannot be explored in the corresponding real system or physical twin. The authors show how a DT can be exploited to enable self-optimizing capabilities in feedback control systems. The DT framework and the control-performance assessment, fault diagnosis and prognosis, remaining-useful-life analysis, and self-optimizing control abilities it allows are validated with both process- and motion-control systems and their DTs. Supporting MATLAB-based material for a case study and an expanded introduction to the basic elements of DTs can be accessed on an associated website. This book helps university researchers from many areas of engineering to develop new tools for control design and reliability and life-cycle assessment and helps practicing engineers working with robotic, manufacturing and processing, and mechatronic systems to maintain and develop the mechanical tools they use. | ||
650 | 0 |
_aCooperating objects (Computer systems). _96195 |
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650 | 0 |
_aIndustrial engineering. _931641 |
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650 | 0 |
_aAutomation. _92392 |
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650 | 0 |
_aControl engineering. _931970 |
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650 | 0 |
_aComputer simulation. _95106 |
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650 | 0 |
_aDynamics. _984583 |
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650 | 0 |
_aNonlinear theories. _93339 |
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650 | 1 | 4 |
_aCyber-Physical Systems. _932475 |
650 | 2 | 4 |
_aIndustrial Automation. _946517 |
650 | 2 | 4 |
_aControl and Systems Theory. _931972 |
650 | 2 | 4 |
_aComputer Modelling. _984586 |
650 | 2 | 4 |
_aApplied Dynamical Systems. _932005 |
700 | 1 |
_aChen, YangQuan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _984588 |
|
710 | 2 |
_aSpringerLink (Online service) _984590 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031221392 |
776 | 0 | 8 |
_iPrinted edition: _z9783031221415 |
776 | 0 | 8 |
_iPrinted edition: _z9783031221422 |
830 | 0 |
_aSynthesis Lectures on Engineering, Science, and Technology, _x2690-0327 _984591 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-22140-8 |
912 | _aZDB-2-SXSC | ||
942 | _cEBK | ||
999 |
_c85687 _d85687 |