000 03772nam a22005655i 4500
001 978-3-319-26656-5
003 DE-He213
005 20220801221017.0
007 cr nn 008mamaa
008 151221s2016 sz | s |||| 0|eng d
020 _a9783319266565
_9978-3-319-26656-5
024 7 _a10.1007/978-3-319-26656-5
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aPonce-Cruz, Pedro.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_953642
245 1 0 _aFuzzy Logic Type 1 and Type 2 Based on LabVIEW™ FPGA
_h[electronic resource] /
_cby Pedro Ponce-Cruz, Arturo Molina, Brian MacCleery.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXVI, 233 p. 203 illus., 52 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Fuzziness and Soft Computing,
_x1860-0808 ;
_v334
505 0 _aLiterature Review for Digital Implementations of Fuzzy Logic Type 1 and Type 2 -- LABVIEW™ FPGA -- Real-Time Fuzzy-Logic Controllers -- Fuzzy Logic Type 1 and Type 2 LABVIEW™ FPGA Toolkit.
520 _aThis book is a comprehensive introduction to LabVIEW FPGA™, a package allowing the programming of intelligent digital controllers in field programmable gate arrays (FPGAs) using graphical code. It shows how both potential difficulties with understanding and programming in VHDL and the consequent difficulty and slowness of implementation can be sidestepped. The text includes a clear theoretical explanation of fuzzy logic (type 1 and type 2) with case studies that implement the theory and systematically demonstrate the implementation process. It goes on to describe basic and advanced levels of programming LabVIEW FPGA and show how implementation of fuzzy-logic control in FPGAs improves system responses. A complete toolkit for implementing fuzzy controllers in LabVIEW FPGA has been developed with the book so that readers can generate new fuzzy controllers and deploy them immediately. Problems and their solutions allow readers to practice the techniques and to absorb the theoretical ideas as they arise. Fuzzy Logic Type 1 and Type 2 Based on LabVIEW FPGA™, helps students studying embedded control systems to design and program those controllers more efficiently and to understand the benefits of using fuzzy logic in doing so. Researchers working with FPGAs find the text useful as an introduction to LabVIEW and as a tool helping them design embedded systems.
650 0 _aComputational intelligence.
_97716
650 0 _aElectronic circuits.
_919581
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aElectronic Circuits and Systems.
_953643
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aMolina, Arturo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_953644
700 1 _aMacCleery, Brian.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_953645
710 2 _aSpringerLink (Online service)
_953646
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319266558
776 0 8 _iPrinted edition:
_z9783319266572
776 0 8 _iPrinted edition:
_z9783319799902
830 0 _aStudies in Fuzziness and Soft Computing,
_x1860-0808 ;
_v334
_953647
856 4 0 _uhttps://doi.org/10.1007/978-3-319-26656-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79190
_d79190