000 | 03582nam a22005895i 4500 | ||
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_c12368 _d12368 |
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001 | 978-981-10-3880-8 | ||
003 | DE-He213 | ||
005 | 20211206121821.0 | ||
008 | 170327s2017 si | s |||| 0|eng d | ||
020 | _a9789811038808 | ||
040 | _cAIKTC-KRRC | ||
041 | _aENG | ||
072 | 7 |
_aTJFM _2bicssc |
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072 | 7 |
_aTEC004000 _2bisacsh |
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072 | 7 |
_aTJFM _2thema |
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072 | 7 |
_aTJFD _2thema |
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082 | 0 | 4 |
_a629.8 _223 |
100 | 1 |
_aShen, Jun. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aAnalysis and Synthesis of Dynamic Systems with Positive Characteristics _h[electronic resource] / |
250 | _a1st ed. 2017. | ||
264 | 1 |
_aSingapore : _bSpringer Singapore : _bImprint: Springer, _c2017. |
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300 |
_aXXIII, 123 p. 16 illus. in color. _bCard Paper |
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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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_atext file _bPDF _2rda |
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490 | 1 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053 |
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520 | _aThis thesis develops several systematic and unified approaches for analyzing dynamic systems with positive characteristics or a more general cone invariance property. Based on these analysis results, it uses linear programming tools to address static output feedback synthesis problems with a focus on optimal gain performances. Owing to their low computational complexity, the established controller design algorithms are applicable for large-scale systems. The theory and control strategies developed will not only be useful in handling large-scale positive delay systems with improved solvability and at lower cost, but also further our understanding of the system characteristics in other related areas, such as distributed coordination of networked multi-agent systems, formation control of multiple robots. | ||
650 | 0 |
_aMechanical Engineering _94626 |
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653 | _aControl, Robotics, Mechatronics. | ||
653 | _aArtificial Intelligence. | ||
653 | _aVibration, Dynamical Systems, Control. | ||
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811038792 |
776 | 0 | 8 |
_iPrinted edition: _z9789811038815 |
776 | 0 | 8 |
_iPrinted edition: _z9789811099915 |
830 | 0 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1007/978-981-10-3880-8 _zClick here to access eBook in Springer Nature platform. (Within Campus only.) |
942 |
_cEBOOKS _2ddc |