| 000 | 05788nam a2201033 i 4500 | ||
|---|---|---|---|
| 001 | 5733051 | ||
| 003 | IEEE | ||
| 005 | 20220712205757.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 151222s2010 njua ob 001 eng d | ||
| 010 | _z 2010007956 (print) | ||
| 020 |
_a9780470874240 _qelectronic |
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| 020 |
_z9780470542774 _qprint |
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| 020 |
_z0470542772 _qpaper |
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| 024 | 7 |
_a10.1002/9780470874240 _2doi |
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| 035 | _a(CaBNVSL)mat05733051 | ||
| 035 | _a(IDAMS)0b000064814ec4ea | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aTJ213 _b.L438 2010eb |
|
| 082 | 0 | 0 |
_a629.8 _222 |
| 100 | 1 |
_aLilly, John H., _d1949- _927646 |
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| 245 | 1 | 0 |
_aFuzzy control and identification / _cJohn H. Lilly. |
| 264 | 1 |
_aHoboken, New Jersey : _bWiley, _cc2010. |
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| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2010] |
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| 300 |
_a1 PDF (xv, 231 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 504 | _aIncludes bibliographical references (p. 190-191) and index. | ||
| 505 | 2 | _aIntroduction -- Basic concepts of fuzzy sets -- Mamdani fuzzy systems -- Fuzzy control with Mamdani systems -- Modeling and control methods useful for fuzzy control -- Takagi-Sugeno fuzzy systems -- Parallel distributed control with Takagi-Sugeno fuzzy systems -- Estimation of static nonlinear functions from data -- Modeling of dynamic plants as fuzzy systems -- Adaptive fuzzy control. | |
| 506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
| 520 | _aA comprehensive introduction to fuzzy control and identification, covering both Mamdani and Takagi-Sugeno fuzzy systemsA fuzzy control system is a control system based on fuzzy logic, which is a mathematical system that makes decisions using human reasoning processes. This book presents an introductory-level exposure to two of the principal uses for fuzzy logic-identification and control. Drawn from the author's lectures presented in a graduate-level course over the past decade, this volume serves as a holistically suitable single text for a fuzzy control course, compiling the information often found in several different books on the subject into one.Starting with explanations of fuzzy logic, fuzzy control, and adaptive fuzzy control, the book introduces the concept of expert knowledge, which is the basis for much of fuzzy control. From there, the author covers:. Basic concepts of fuzzy sets such as membership functions, universe of discourse, linguistic variables, linguistic values, support, a-cut, and convexity. Both Mamdani and Takagi-Sugeno fuzzy systems, showing how an effective controller can be designed for many complex nonlinear systems without mathematical models or knowledge of control theory while also suggesting several approaches to modeling of complex engineering systems with unknown models. How PID controllers can be made fuzzy and why this is useful. Position-form and incremental-form fuzzy controllers. How nonlinear systems can be modeled as fuzzy systems in several forms. How fuzzy tracking control and model reference control can be realized for nonlinear systems using parallel distributed techniques. The estimation of nonlinear systems using the batch least squares, recursive least squares, and gradient methods. The creation of direct and indirect adaptive fuzzy controllersAlso included are many examples, exercises, and computer program listings, all class-tested. Fuzzy Control and Identification is intended for seniors and first-year graduate students, and is suitable for any engineering department. No knowledge specific to any particular branch of engineering is required, and no knowledge of electrical, chemical, or mechanical systems is necessary to read and understand the material. | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 588 | _aDescription based on PDF viewed 12/22/2015. | ||
| 650 | 0 |
_aFuzzy automata. _927647 |
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| 650 | 0 |
_aSystem identification. _94634 |
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| 650 | 0 |
_aAutomatic control _xMathematics. _918365 |
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| 655 | 0 |
_aElectronic books. _93294 |
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| 695 | _aAdaptation models | ||
| 695 | _aBibliographies | ||
| 695 | _aComputers | ||
| 695 | _aControl systems | ||
| 695 | _aDifferential equations | ||
| 695 | _aDistributed control | ||
| 695 | _aEstimation | ||
| 695 | _aForce | ||
| 695 | _aFriction | ||
| 695 | _aFuzzy control | ||
| 695 | _aFuzzy logic | ||
| 695 | _aFuzzy sets | ||
| 695 | _aFuzzy systems | ||
| 695 | _aHumans | ||
| 695 | _aIndexes | ||
| 695 | _aInterpolation | ||
| 695 | _aLeast squares approximation | ||
| 695 | _aLinear matrix inequalities | ||
| 695 | _aLinear systems | ||
| 695 | _aLoad modeling | ||
| 695 | _aMathematical model | ||
| 695 | _aNoise | ||
| 695 | _aNoise measurement | ||
| 695 | _aNonlinear dynamical systems | ||
| 695 | _aNonlinear systems | ||
| 695 | _aPragmatics | ||
| 695 | _aShafts | ||
| 695 | _aShape | ||
| 695 | _aSpace cooling | ||
| 695 | _aStability analysis | ||
| 695 | _aSymmetric matrices | ||
| 695 | _aSystem performance | ||
| 695 | _aTemperature distribution | ||
| 695 | _aTemperature measurement | ||
| 695 | _aTemperature sensors | ||
| 695 | _aTime varying systems | ||
| 695 | _aTorque | ||
| 695 | _aTracking | ||
| 695 | _aTraining data | ||
| 695 | _aTrajectory | ||
| 695 | _aVectors | ||
| 695 | _aWind | ||
| 695 | _aWind speed | ||
| 710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _927648 |
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| 710 | 2 |
_aJohn Wiley & Sons, _epublisher. _96902 |
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| 776 | 0 | 8 |
_iPrint version: _z9780470542774 |
| 856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5733051 |
| 942 | _cEBK | ||
| 999 |
_c74128 _d74128 |
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