000			02356cam a22003858i 4500
008			190726s2020 flua b 001 0 eng d
010			_a2019032828
020			_a9780367371432 _qhardback _cRM524.16
040			_dUKM _erda
090			_aTJ212.2 _b.A44 3
100	1		_aAllamaraju, Subrahmanyam, _eauthor.
245	1	0	_aIdentification of continuous-time systems : _blinear and robust parameter estimation / _cAllamaraju Subrahmanyam and Ganti Prasada Rao.
264		1	_aBoca raton : _bCRC Press/Taylor & Francis Group, _c[2020].
264		4	_a _c©2020.
300			_axxii, 120 pages : _billustrations ; _c24 cm.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
490	1		_aEngineering systems and sustainability series.
504			_aIncludes bibliographical references and index.
520			_a'Models of physical systems are originally in continuous-time (CT) since they are based on physical laws which are invariably in CT. To identify these models directly in their native CT form, avoiding intermediate discrete time (DT) model identification, the established method consists of two stages. In the primary stage signals are processed by a general linear dynamic operation- computational or realized through prefilters to preserve the system parameters in their native continuous time form and the literature is rich on this aspect. This book complements the existing literature about identification of continuous-time systems by enhancing the secondary stage by considering models which are linear in unknown parameters thereby rendering estimation linear and robust'-- _cProvided by publisher.
650		0	_aAutomatic control _xMathematical models.
650		0	_aLinear time invariant systems.
650		0	_aSystem identification. _960931
650		0	_aParameter estimation.
700	1		_aPrasada Rao, Ganti, _d1942- _eauthor. _946576
830		0	_aEngineering systems and sustainability series.
907			_a.b16821944 _b2021-02-01 _c2020-08-11
942			_c01 _n0 _kTJ212.2 .A44 3
949			_o6000000465 (3).
990			_azak.
991			_aFakulti Kejuruteraan dan Alam Bina.
998			_al0000 _b2020-08-11 _cm _da _feng _gxxu _y0 _z.b16821944
999			_c649590 _d649590