000			06595nam a2201273 i 4500
001			5236503
003			IEEE
005			20191218152113.0
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.
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.
650		0	_aAdaptive signal processing.
650		0	_aAcoustical engineering.
655		0	_aElectronic books.
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.
710	2		_aIEEE Xplore (Online Service), _edistributor.
710	2		_aJohn Wiley & Sons, _epublisher.
776	0	8	_iPrint version: _w 2009419307 (print) _z9780470226094
830		0	_aIEEE Press series on power engineering
856	4	2	_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5236503
999			_c41904 _d41904