000 06672nam a2201285 i 4500
001 5236503
003 IEEE
005 20220712205603.0
006 m o d
007 cr |n|||||||||
008 090511t20152008njua ob 001 0 eng
010 _z 2009419307 (print)
020 _a9780470231616
_qelectronic
020 _z9780470226094
_qpaper
020 _z0470231610
_qelectronic
024 7 _a10.1002/9780470231616
_2doi
035 _a(CaBNVSL)mat05236503
035 _a(IDAMS)0b00006481094b15
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aTJ217
_b.W53 2008eb
100 1 _aWidrow, Bernard,
_d1929-
_eauthor.
_926310
245 1 0 _aAdaptive inverse control :
_ba signal processing approach /
_cBernard Widrow, Eugene Walach..
250 _aReissue ed.
264 1 _aPiscataway, New Jersey :
_bIEEE Press,
_cc2008.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2008]
300 _a1 PDF (xvi, 508 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
500 _aOriginally published: Upper Saddle River, N.J. : Prentice Hall PTR, c1996.
504 _aIncludes bibliographical references and index.
505 0 _aPreface -- 1. The Adaptive Inverse Control Concept -- 2. Wiener Filters -- 3. Adaptive LMS Filters -- 4. Adaptive Modeling -- 5. Inverse Plant Modeling -- 6. Adaptive Inverse Control -- 7. Other Configurations for Adaptive Inverse Control -- 8. Plant Disturbance Canceling -- 9. System Integration -- 10. Multiple-Input Multiple-Output (MIMO) Adaptive Inverse Control Systems -- 11. Nonlinear Adaptive Inverse Control -- 12. Pleasant Surprises -- A Stability and Misadjustment of the LMS Adaptive Filter -- B Comparative Analyses of Dither Modeling Schemes A, B, C -- C A Comparison of the Self-Tuning Regulator of Astrom and Wittenmark with the Techniques of Adaptive Inverse Control -- D Adaptive Inverse Control for Unstable Linear SISO Plants -- E Orthogonalizing Adaptive Algorithms: RLS, DFT/LMS, and DCT/LMS -- F A MIMO Application: An Adaptive Noise-Canceling System Used for Beam Control at the Stanford Linear Accelerator Center -- G Thirty Years of Adaptive Neural Networks: Perceptron Madaline, and Backpropagation -- H Neural Control Systems -- Glossary -- Index.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _aA self-contained introduction to adaptive inverse control Now featuring a revised preface that emphasizes the coverage of both control systems and signal processing, this reissued edition of Adaptive Inverse Control takes a novel approach that is not available in any other book. Written by two pioneers in the field, Adaptive Inverse Control presents methods of adaptive signal processing that are borrowed from the field of digital signal processing to solve problems in dynamic systems control. This unique approach allows engineers in both fields to share tools and techniques. Clearly and intuitively written, Adaptive Inverse Control illuminates theory with an emphasis on practical applications and commonsense understanding. It covers: the adaptive inverse control concept; Weiner filters; adaptive LMS filters; adaptive modeling; inverse plant modeling; adaptive inverse control; other configurations for adaptive inverse control; plant disturbance canceling; system integration; Multiple-Input Multiple-Output (MIMO) adaptive inverse control systems; nonlinear adaptive inverse control systems; and more. Complete with a glossary, an index, and chapter summaries that consolidate the information presented, Adaptive Inverse Control is appropriate as a textbook for advanced undergraduate- and graduate-level courses on adaptive control and also serves as a valuable resource for practitioners in the fields of control systems and signal processing.
530 _aAlso available in print.
538 _aMode of access: World Wide Web.
588 _aDescription based on PDF viewed 12/21/2015.
588 _aDescription based on PDF viewed 12/18/2015.
650 0 _aAdaptive control systems.
_97063
650 0 _aAdaptive signal processing.
_94447
650 0 _aAcoustical engineering.
_99499
655 0 _aElectronic books.
_93294
695 _aFinite impulse response filter
695 _aIIR filters
695 _aIndexes
695 _aInverse problems
695 _aLeast squares approximation
695 _aLenses
695 _aLinear particle accelerator
695 _aMIMO
695 _aMathematical model
695 _aMatrix decomposition
695 _aMaximum likelihood detection
695 _aMean square error methods
695 _aNoise
695 _aNoise measurement
695 _aNonlinear filters
695 _aPoles and zeros
695 _aPositrons
695 _aPower filters
695 _aProcess control
695 _aRegulators
695 _aRobustness
695 _aStability analysis
695 _aSubspace constraints
695 _aTerminology
695 _aTrajectory
695 _aTransfer functions
695 _aTransversal filters
695 _aTuning
695 _aWiener filter
695 _aAcceleration
695 _aAdaptation model
695 _aAdaptive control
695 _aAdaptive filters
695 _aAdaptive systems
695 _aAlgorithm design and analysis
695 _aAnalytical models
695 _aApproximation methods
695 _aArrays
695 _aArtificial neural networks
695 _aBackpropagation
695 _aComputational modeling
695 _aControl systems
695 _aConvergence
695 _aConvolution
695 _aCovariance matrix
695 _aDecorrelation
695 _aDelay
695 _aDelay lines
695 _aDigital filters
695 _aDiscrete Fourier transforms
695 _aDiscrete cosine transforms
695 _aEigenvalues and eigenfunctions
695 _aElectromagnetic waveguides
695 _aElectron tubes
695 _aEquations
695 _aEstimation
695 _aFiltering
695 _aFiltering algorithms
695 _aFiltering theory
695 _aHumans
700 1 _aWalach, Eugene.
_926311
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_926312
710 2 _aJohn Wiley & Sons,
_epublisher.
_96902
776 0 8 _iPrint version:
_w 2009419307 (print)
_z9780470226094
830 0 _aIEEE Press series on power engineering
_97125
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5236503
942 _cEBK
999 _c73736
_d73736