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001 | 978-981-10-3880-8 | ||
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008 | 170327s2017 si | s |||| 0|eng d | ||
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_a9789811038808 _9978-981-10-3880-8 |
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_a10.1007/978-981-10-3880-8 _2doi |
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050 | 4 | _aTJ212-225 | |
050 | 4 | _aTJ210.2-211.495 | |
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_a629.8 _223 |
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_aShen, Jun. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _962247 |
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245 | 1 | 0 |
_aAnalysis and Synthesis of Dynamic Systems with Positive Characteristics _h[electronic resource] / _cby Jun Shen. |
250 | _a1st ed. 2017. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2017. |
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300 |
_aXXIII, 123 p. 16 illus. in color. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5061 |
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505 | 0 | _aChapter 1. Introduction -- Chapter 2. Positive Systems with Retarded Delays -- Chapter 3. Positive Systems with Distributed Delays -- Chapter 4. Controller Synthesis of Positive Systems -- Chapter 5. Model Reduction for Discrete-time Positive Systems with Inhomogeneous Initial Conditions -- Chapter 6. Linear Delay Systems with Cone Invariance -- Chapter 7. Positivity and Stability of Coupled Differential-difference Equations with Time-varying Delays -- chapter 8. Conclusion and Future Work. | |
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 |
_aControl engineering. _931970 |
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650 | 0 |
_aRobotics. _92393 |
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650 | 0 |
_aAutomation. _92392 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aMultibody systems. _96018 |
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650 | 0 |
_aVibration. _96645 |
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650 | 0 |
_aMechanics, Applied. _93253 |
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650 | 1 | 4 |
_aControl, Robotics, Automation. _931971 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aMultibody Systems and Mechanical Vibrations. _932157 |
710 | 2 |
_aSpringerLink (Online service) _962248 |
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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, _x2190-5061 _962249 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-10-3880-8 |
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912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
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