000 | 03256nam a22005535i 4500 | ||
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001 | 978-3-319-74265-6 | ||
003 | DE-He213 | ||
005 | 20220801221429.0 | ||
007 | cr nn 008mamaa | ||
008 | 180223s2018 sz | s |||| 0|eng d | ||
020 |
_a9783319742656 _9978-3-319-74265-6 |
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024 | 7 |
_a10.1007/978-3-319-74265-6 _2doi |
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050 | 4 | _aTJ212-225 | |
072 | 7 |
_aTJFM _2bicssc |
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_a629.8312 _223 |
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_a003 _223 |
100 | 1 |
_aSun, Zhiyong. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _955974 |
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245 | 1 | 0 |
_aCooperative Coordination and Formation Control for Multi-agent Systems _h[electronic resource] / _cby Zhiyong Sun. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
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300 |
_aXXII, 179 p. 34 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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_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, _x2190-5061 |
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520 | _aThe thesis presents new results on multi-agent formation control, focusing on the distributed stabilization control of rigid formation shapes. It analyzes a range of current research problems such as problems concerning the equilibrium and stability of formation control systems, or the problem of cooperative coordination control when agents have general dynamical models, and discusses practical considerations arising during the implementation of established formation control algorithms. In addition, the thesis presents models of increasing complexity, from single integrator models, to double integrator models, to agents modeled by nonlinear kinematic and dynamic equations, including the familiar unicycle model and nonlinear system equations with drift terms. Presenting the fruits of a close collaboration between several top control groups at leading universities including Yale University, Groningen University, Purdue University and Gwangju Institute of Science and Technology (GIST), the thesis spans various research areas, including robustness issues in formations, quantization-based coordination, exponential stability in formation systems, and cooperative coordination of networked heterogeneous systems. | ||
650 | 0 |
_aControl engineering. _931970 |
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650 | 0 |
_aComputational intelligence. _97716 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 1 | 4 |
_aControl and Systems Theory. _931972 |
650 | 2 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
710 | 2 |
_aSpringerLink (Online service) _955975 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319742649 |
776 | 0 | 8 |
_iPrinted edition: _z9783319742663 |
776 | 0 | 8 |
_iPrinted edition: _z9783030089498 |
830 | 0 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5061 _955976 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-74265-6 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
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