000			01947nam a2200325 i 4500
008			980324s1999 njua b 001 0 eng
010			_a98018554
020			_a0136566952 _qcloth
040			_aDLC _cDLC _dYDX _dCIN
049			_aBAUN_MERKEZ
050	0	4	_aQA402 _b.L59 1999
082	0	0	_221
100	1		_aLjung, Lennart
245	1	0	_aSystem identification : _btheory for the user / _cLennart Ljung
250			_a2nd ed
264		1	_aUpper Saddle River, NJ : _bPrentice Hall PTR, _c[1999]
264		4	_c©1999
300			_axxii, 609 pages : _billustrations ; _c25 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	1		_aPrentice Hall information and system sciences series
504			_aIncludes bibliographical references (pages 565-593) and indexes
505	0	0	_tContents _t Preface to the First Edition _t Acknowledgments _t Preface to the Second Edition _t Operators and Notational Conventions _t1 Introduction _t2 Time-Invariant Linear Systems _t3 Simulation and Prediction _t4 Models of Linear Time-Invariant Systems _t5 Models for Time-varying and Nonlinear Systems _t6 Nonparametric Time- and Frequency-Domain Methods _t7 Parameter Estimation Methods _t8 Convergence and Consistency _t9 Asymptotic Distribution of Parameter Estimates _t10 Computing the Estimate _t11 Recursive Estimation Methods _t12 Options and Objectives _t13 Experiment Design _t14 Preprocessing Data _t15 Choice of Identification Criterion _t16 Model Structure Selection and Model Validation _t17 System Identification in Practice _tApp. I Some Concepts From Probability Theory _tApp. II Some Statistical Techniques for Linear Regressions _t References _t Subject Index _t Reference Index
650		0	_aSystem identification
830		0	_9108661 _aPrentice-Hall information and system sciences series
900			_a35574
900			_bsatın
942			_2lcc _cKT
999			_c32751 _d32751