000 | 03251nam a22005535i 4500 | ||
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001 | 978-3-319-34094-4 | ||
003 | DE-He213 | ||
005 | 20220801221758.0 | ||
007 | cr nn 008mamaa | ||
008 | 160718s2016 sz | s |||| 0|eng d | ||
020 |
_a9783319340944 _9978-3-319-34094-4 |
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024 | 7 |
_a10.1007/978-3-319-34094-4 _2doi |
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050 | 4 | _aTJ212-225 | |
072 | 7 |
_aTJFM _2bicssc |
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072 | 7 |
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_aTJFM _2thema |
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_a629.8312 _223 |
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_a003 _223 |
100 | 1 |
_aLam, Hak-Keung. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _957941 |
|
245 | 1 | 0 |
_aPolynomial Fuzzy Model-Based Control Systems _h[electronic resource] : _bStability Analysis and Control Synthesis Using Membership Function Dependent Techniques / _cby Hak-Keung Lam. |
250 | _a1st ed. 2016. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
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300 |
_aXIX, 296 p. 87 illus. _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 |
_aStudies in Systems, Decision and Control, _x2198-4190 ; _v64 |
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520 | _aThis book presents recent research on the stability analysis of polynomial-fuzzy-model-based control systems where the concept of partially/imperfectly matched premises and membership-function dependent analysis are considered. The membership-function-dependent analysis offers a new research direction for fuzzy-model-based control systems by taking into account the characteristic and information of the membership functions in the stability analysis. The book presents on a research level the most recent and advanced research results, promotes the research of polynomial-fuzzy-model-based control systems, and provides theoretical support and point a research direction to postgraduate students and fellow researchers. Each chapter provides numerical examples to verify the analysis results, demonstrate the effectiveness of the proposed polynomial fuzzy control schemes, and explain the design procedure. The book is comprehensively written enclosing detailed derivation steps and mathematical derivations also for readers without extensive knowledge on the topics including students with control background who are interested in polynomial fuzzy model-based control 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) _957942 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319340920 |
776 | 0 | 8 |
_iPrinted edition: _z9783319340937 |
776 | 0 | 8 |
_iPrinted edition: _z9783319816760 |
830 | 0 |
_aStudies in Systems, Decision and Control, _x2198-4190 ; _v64 _957943 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-34094-4 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
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