| 000 | 03368nam a22005775i 4500 | ||
|---|---|---|---|
| 001 | 978-3-030-52440-1 | ||
| 003 | DE-He213 | ||
| 005 | 20220801215708.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 200730s2021 sz | s |||| 0|eng d | ||
| 020 |
_a9783030524401 _9978-3-030-52440-1 |
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| 024 | 7 |
_a10.1007/978-3-030-52440-1 _2doi |
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| 050 | 4 | _aTJ212-225 | |
| 072 | 7 |
_aTJFM _2bicssc |
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_aGPFC _2bicssc |
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_a629.8312 _223 |
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_a003 _223 |
| 100 | 1 |
_aWang, Ye. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _945914 |
|
| 245 | 1 | 0 |
_aAdvances in State Estimation, Diagnosis and Control of Complex Systems _h[electronic resource] / _cby Ye Wang. |
| 250 | _a1st ed. 2021. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
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| 300 |
_aXXVII, 237 p. 64 illus., 49 illus. in color. _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 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5061 |
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| 505 | 0 | _aIntroduction -- Set-based State Estimation Approaches for Descriptor Systems -- Distributed Set-membership Approach based on Zonotopes -- Set-based Fault Detection and Isolation for Descriptor Systems -- Set-based Fault Estimation for Descriptor Systems. | |
| 520 | _aThis book presents theoretical and practical findings on the state estimation, diagnosis and control of complex systems, especially in the mathematical form of descriptor systems. The research is fully motivated by real-world applications (i.e., Barcelona’s water distribution network), which require control systems capable of taking into account their specific features and the limits of operations in the presence of uncertainties stemming from modeling errors and component malfunctions. Accordingly, the book first introduces a complete set-based framework for explicitly describing the effects of uncertainties in the descriptor systems discussed. In turn, this set-based framework is used for state estimation and diagnosis. The book also presents a number of application results on economic model predictive control from actual water distribution networks and smart grids. Moreover, the book introduces a fault-tolerant control strategy based on virtual actuators and sensors for such systems in the descriptor form. . | ||
| 650 | 0 |
_aControl engineering. _931970 |
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| 650 | 0 |
_aDynamics. _945915 |
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| 650 | 0 |
_aNonlinear theories. _93339 |
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| 650 | 0 |
_aElectric power production. _927574 |
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| 650 | 1 | 4 |
_aControl and Systems Theory. _931972 |
| 650 | 2 | 4 |
_aApplied Dynamical Systems. _932005 |
| 650 | 2 | 4 |
_aMechanical Power Engineering. _932122 |
| 710 | 2 |
_aSpringerLink (Online service) _945916 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030524395 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030524418 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030524425 |
| 830 | 0 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5061 _945917 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-52440-1 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
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