000 03251nam a22005535i 4500
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
024 7 _a10.1007/978-3-319-34094-4
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aGPFC
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8312
_223
082 0 4 _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.
300 _aXIX, 296 p. 87 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v64
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
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
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
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
856 4 0 _uhttps://doi.org/10.1007/978-3-319-34094-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80042
_d80042