| 000 | 05189nam a2200973 i 4500 | ||
|---|---|---|---|
| 001 | 5263877 | ||
| 003 | IEEE | ||
| 005 | 20200421114113.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 100317t20152000nyua ob 001 0 eng d | ||
| 020 |
_a9780470544730 _qelectronic |
||
| 020 |
_z9780780334977 _qprint |
||
| 020 |
_z0470544732 _qelectronic |
||
| 024 | 7 |
_a10.1109/9780470544730 _2doi |
|
| 035 | _a(CaBNVSL)mat05263877 | ||
| 035 | _a(IDAMS)0b000064810c3c88 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
| 050 | 4 |
_aTJ211 _b.Y56 2000eb |
|
| 082 | 0 | 4 |
_a629.8 _222 |
| 100 | 1 |
_aYing, Hao, _d1958- |
|
| 245 | 1 | 0 |
_aFuzzy control and modeling : _banalytical foundations and applications / _cHao Ying ; [foreword by Lotfi A. Zadeh]. |
| 264 | 1 |
_aNew York : _bIEEE Press, _cc2000. |
|
| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2000] |
|
| 300 |
_a1 PDF (xxxii, 310 pages) : _billustrations. |
||
| 336 |
_atext _2rdacontent |
||
| 337 |
_aelectronic _2isbdmedia |
||
| 338 |
_aonline resource _2rdacarrier |
||
| 490 | 1 |
_aIEEE press series on biomedical engineering ; _v29 |
|
| 500 | _a"IEEE Engineering in Medicine and Biology Society, sponsor." | ||
| 504 | _aIncludes bibliographical references (p. 291-304) and index. | ||
| 505 | 0 | _aForeword. Preface. Acknowledgments. List of Figures. Basic Fuzzy Mathematics for Fuzzy Control and Modeling. Introduction to Fuzzy Control and Modeling. Mamdani Fuzzy PID Controllers. Mamdani Fuzzy Controllers of Non-PID Type. TS Fuzzy Controllers with Linear Rule Consequent. Stability Analysis and Design of Mamdani and TS Fuzzy Control Systems. Mamdani and TS Fuzzy Systems as Functional Approximators. Real-Time Fuzzy Control of Biomedical Systems. Bibliography. Index. About the Author. | |
| 506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
| 520 | _aThe emerging, powerful fuzzy control paradigm has led to the worldwide success of countless commercial products and real-world applications. Fuzzy control is exceptionally practical and cost-effective due to its unique ability to accomplish tasks without knowing the mathematical model of the system, even if it is nonlinear, time varying and complex. Nevertheless, compared with the conventional control technology, most fuzzy control applications are developed in an ad hoc manner with little analytical understanding and without rigorous system analysis and design. Fuzzy Control and Modeling is the only book that establishes the analytical foundations for fuzzy control and modeling in relation to the conventional linear and nonlinear theories of control and systems. The coverage is up-to-date, comprehensive, in-depth and rigorous. Numeric examples and applications illustrate the utility of the theoretical development. Important topics discussed include: . Structures of fuzzy controllers/models with respect to conventional fuzzy controllers/models. Analysis of fuzzy control and modeling in relation to their classical counterparts. Stability analysis of fuzzy systems and design of fuzzy control systems. Sufficient and necessary conditions on fuzzy systems as universal approximators. Real-time fuzzy control systems for treatment of life-critical problems in biomedicine Fuzzy Control and Modeling is a self-contained, invaluable resource for professionals and students in diverse technical fields who aspire to analytically study fuzzy control and modeling. | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 588 | _aDescription based on PDF viewed 12/21/2015. | ||
| 650 | 0 | _aAutomatic control. | |
| 650 | 0 | _aFuzzy systems. | |
| 650 | 0 | _aMathematical models. | |
| 655 | 0 | _aElectronic books. | |
| 695 | _aAccuracy | ||
| 695 | _aAnimals | ||
| 695 | _aApproximation methods | ||
| 695 | _aArtificial intelligence | ||
| 695 | _aAsymptotic stability | ||
| 695 | _aBibliographies | ||
| 695 | _aBiographies | ||
| 695 | _aBiological system modeling | ||
| 695 | _aBismuth | ||
| 695 | _aBlood pressure | ||
| 695 | _aBooks | ||
| 695 | _aComputer simulation | ||
| 695 | _aControl systems | ||
| 695 | _aData models | ||
| 695 | _aEquations | ||
| 695 | _aFuzzy control | ||
| 695 | _aFuzzy logic | ||
| 695 | _aFuzzy sets | ||
| 695 | _aFuzzy systems | ||
| 695 | _aGain | ||
| 695 | _aIndexes | ||
| 695 | _aInput variables | ||
| 695 | _aIntegrated circuits | ||
| 695 | _aMathematical model | ||
| 695 | _aNonlinear systems | ||
| 695 | _aNumerical models | ||
| 695 | _aPD control | ||
| 695 | _aPi control | ||
| 695 | _aPolynomials | ||
| 695 | _aReal time systems | ||
| 695 | _aRelays | ||
| 695 | _aSections | ||
| 695 | _aStability criteria | ||
| 695 | _aSwitches | ||
| 695 | _aThermal stability | ||
| 710 | 2 |
_aJohn Wiley & Sons, _epublisher. |
|
| 710 | 2 | _aIEEE Engineering in Medicine and Biology Society. | |
| 710 | 2 |
_aIEEE Xplore (Online service), _edistributor. |
|
| 776 | 0 | 8 |
_iPrint version: _z9780780334977 |
| 830 | 0 |
_aIEEE Press series in biomedical engineering ; _v29 |
|
| 856 | 4 | 2 |
_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5263877 |
| 942 | _cEBK | ||
| 999 |
_c59440 _d59440 |
||