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020 _a9783319549545
_9978-3-319-54954-5
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8
_223
100 1 _aMahmoud, Magdi S.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aFuzzy Control, Estimation and Diagnosis
_h[electronic resource] :
_bSingle and Interconnected Systems /
_cby Magdi S. Mahmoud.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXXVI, 689 p. 341 illus., 186 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aAcceso multiusuario
505 0 _aIntroduction -- Part I: Fuzzy Control -- Basics of Fuzzy Control -- Discrete-Time Fuzzy Control -- Fuzzy Networked Control Systems -- Sliding-Mode Fuzzy Control -- Part II: Fuzzy Estimation -- Fuzzy Robust Estimation -- Fuzzy Quantized Filtering -- Fuzzy Stabilization Approaches -- Part III: Fuzzy Diagnosis -- Fuzzy Fault Detection and Control -- Fuzzy Fault Diagnosis -- Part IV: Applications and Tools -- Applications -- Simulation Tools -- Appendices.
520 _aThis textbook explains the principles of fuzzy systems in some depth together with information useful in realizing them within computational processes. The various algorithms and example problem solutions are a well-balanced and pertinent aid for research projects, laboratory work and graduate study. In addition to its worked examples, the book also uses end-of-chapter exercises as an instructional aid with a downloadable solutions manual available to instructors. The content of the book is developed and extended from material taught for four years in the author's classes. The text provides a broad overview of fuzzy control, estimation and fault diagnosis. It ranges over various classes of target system and modes of control and then turns to filtering, stabilization, and fault detection and diagnosis. Applications, simulation tools and an appendix on algebraic inequalities complete a unified approach to the analysis of single and interconnected fuzzy systems. Fuzzy Control, Estimation and Fault Detection is a guide for final-year undergraduate and graduate students of electrical and mechanical engineering, computer science and information technology, and will also be instructive for professionals in the information technology sector.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aControl engineering.
650 0 _aComputational intelligence.
650 0 _aComputer mathematics.
650 0 _aComputers.
650 1 4 _aControl and Systems Theory.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T19010
650 2 4 _aComputational Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T11014
650 2 4 _aComputational Science and Engineering.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M14026
650 2 4 _aInformation Systems and Communication Service.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I18008
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319549538
776 0 8 _iPrinted edition:
_z9783319549552
776 0 8 _iPrinted edition:
_z9783319855301
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-54954-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c243557
_d243556