000			06169cam a2200685Ia 4500
001			ocn162128802
003			OCoLC
005			20141103172223.0
006			m o d
007			cr cn|||||||||
008			070802s1997 caua ob 001 0 eng d
040			_aOPELS _beng _cOPELS _dOCLCG _dOCLCQ _dN$T _dYDXCP _dBTCTA _dIDEBK _dE7B _dMERUC _dOCLCF
019			_a173240300 _a174042324 _a179790617 _a648325133 _a823829080 _a823898792 _a824090077 _a824137200
020			_a9780125264303
020			_a0125264305
020			_a9780080537399 (electronic bk.)
020			_a0080537391 (electronic bk.)
020			_a1281038458
020			_a9781281038456
029	1		_aNZ1 _b12432317
029	1		_aDEBBG _bBV039830508
029	1		_aAU@ _b000051557969
029	1		_aNZ1 _b15190979
029	1		_aDEBSZ _b405294360
029	1		_aNLGGC _b380800152
035			_a(OCoLC)162128802 _z(OCoLC)173240300 _z(OCoLC)174042324 _z(OCoLC)179790617 _z(OCoLC)648325133 _z(OCoLC)823829080 _z(OCoLC)823898792 _z(OCoLC)824090077 _z(OCoLC)824137200
037			_a78603:78603 _bElsevier Science & Technology _nhttp://www.sciencedirect.com
050		4	_aQA76.87 _b.N4925 1997eb
072		7	_aTEC _x004000 _2bisacsh
072		7	_aTJFM _2bicssc
082	0	4	_a629.8/9 _222
049			_aTEFA
245	0	0	_aNeural systems for control _h[electronic resource] / _cedited by Omid Omidvar, David L. Elliott.
260			_aSan Diego : _bAcademic Press, _cc1997.
300			_a1 online resource (xiii, 358 p.) : _bill.
520			_aControl problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems directly applicable to control or making use of modern control theory. The book covers such important new developments in control systems such as intelligent sensors in semiconductor wafer manufacturing; the relation between muscles and cerebral neurons in speech recognition; online compensation of reconfigurable control for spacecraft aircraft and other systems; applications to rolling mills, robotics and process control; the usage of past output data to identify nonlinear systems by neural networks; neural approximate optimal control; model-free nonlinear control; and neural control based on a regulation of physiological investigation/blood pressure control. All researchers and students dealing with control systems will find the fascinating Neural Systems for Control of immense interest and assistance. Key Features * Focuses on research in natural and artifical neural systems directly applicable to contol or making use of modern control theory * Represents the most up-to-date developments in this rapidly growing application area of neural networks * Takes a new and novel approach to system identification and synthesis.
505	0		_aIntroduction: Neural Networks and Automatic Control. Reinforcement Learning. Neurocontrol in Sequence Recognition. A Learning Sensorimotor Map of Arm Movements: A Step Toward Biological Arm Control. Neuronal Modeling of the Baroceptor Reflex with Applications in Process Modeling and Control. Identification of Nonlinear Dynamical Systems Using Neural Networks. Neural Network Control of Robot Arms and Nonlinear Systems. Neual Networks for Intelligent Sensors and Control-PracticalIssues and Some Solutions. Approximation of Time-Optimal Control for an Industrial Production Plant with General Regression Neural Network. Neuro-Control Design: Reconfigurable Neural Control in Precision Space Structural Platforms. Neural Approximationsfor Finite- and Infinite-Horizon Optimal Control. Index.
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction : neural networks and automatic control / David L. Elliott -- Reinforcement learning / Andrew G. Barto -- Neurocontrol in sequence recognition / William J. Byrne and Shihab A. Shamma -- A learning sensorimotor map of arm movements : a step toward biological arm control / Sungzoon Cho, James A. Reggia and Min Jang -- Neuronal modeling of the baroreceptor reflex with applications in process modeling and control / Francis J. Doyle III ... [et al.] -- Identification of nonlinear dynamical systems using neural networks / A.U. Levin and K.S. Narendra -- Neural network control of robot arms and nonlinear systems / F.L. Lweis, S. Jagannathan, and A. Ye�sildirek -- Neural networks for intelligent sensors and control : practical issues and some solutions / S. Joe Qin -- Approximation of time-optimal control for an industrial production plant with general regression neural network / Clemens Sch�affner and Dierk Schr�oder -- Neuro-control design : optimization aspects / H. Ted Su and Tariq Samad -- Reconfigurable neural control in precision space structural platforms / Gary G. Yen -- Neural approximations for finite- and infinite- horizon optimal control / Riccardo Zoppoli and Thomas Parisini.
588			_aDescription based on print version record.
650		0	_aNeural networks (Computer science)
650		0	_aAutomatic control.
650		6	_aR�eseaux neuronaux (Informatique)
650		6	_aCommande automatique.
650		7	_aTECHNOLOGY & ENGINEERING _xAutomation. _2bisacsh
650		7	_aAutomatic control. _2fast _0(OCoLC)fst00822702
650		7	_aNeural networks (Computer science) _2fast _0(OCoLC)fst01036260
655		4	_aElectronic books.
700	1		_aOmidvar, Omid.
700	1		_aElliott, David L. _q(David LeRoy), _d1932-
776	0	8	_iPrint version: _tNeural systems for control. _dSan Diego : Academic Press, c1997 _z0125264305 _z9780125264303 _w(DLC) 96029556 _w(OCoLC)35758075
856	4	0	_3ScienceDirect _uhttp://www.sciencedirect.com/science/book/9780125264303
938			_aYBP Library Services _bYANK _n2636842
938			_aBaker and Taylor _bBTCP _nBK0007491209
938			_aebrary _bEBRY _nebr10190261
938			_aEBSCOhost _bEBSC _n205644
938			_aIngram Digital eBook Collection _bIDEB _n103845
942			_cEB
994			_aC0 _bTEF
999			_c21716 _d21716