000			03388nam a22004335i 4500
001			u374593
003			SIRSI
005			20160812084242.0
007			cr nn 008mamaa
008			100710s2010 gw | s |||| 0|eng d
020			_a9783642138126 _9978-3-642-13812-6
040			_cMX-MeUAM
050		4	_aTJ212-225
082	0	4	_a629.8 _223
100	1		_aTóth, Roland. _eauthor.
245	1	0	_aModeling and Identification of Linear Parameter-Varying Systems _h[recurso electrónico] / _cby Roland Tóth.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_a325p. 21 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Control and Information Sciences, _x0170-8643 ; _v403
505	0		_aLTI System Identification and the Role of OBFs -- LPV Systems and Representations -- LPV Equivalence Transformations -- LPV Series-Expansion Representations -- Discretization of LPV Systems -- LPV Modeling of Physical Systems -- Optimal Selection of OBFs -- LPV Identification via OBFs.
520			_aThrough the past 20 years, the framework of Linear Parameter-Varying (LPV) systems has become a promising system theoretical approach to h- dle the controlof mildly nonlinear and especially position dependent systems which are common in mechatronic applications and in the process ind- try. The birth of this system class was initiated by the need of engineers to achieve better performance for nonlinear and time-varying dynamics, c- mon in many industrial applications, than what the classical framework of Linear Time-Invariant (LTI) control can provide. However, it was also a p- mary goal to preserve simplicity and “re-use” the powerful LTI results by extending them to the LPV case. The progress continued according to this philosophy and LPV control has become a well established ?eld with many promising applications. Unfortunately, modeling of LPV systems, especially based on measured data (which is called system identi?cation) has seen a limited development sincethebirthoftheframework. Currentlythisbottleneck oftheLPVfra- work is halting the transfer of the LPV theory into industrial use. Without good models that ful?ll the expectations of the users and without the und- standing how these models correspond to the dynamics of the application, it is di?cult to design high performance LPV control solutions. This book aims to bridge the gap between modeling and control by investigating the fundamental questions of LPV modeling and identi?cation. It explores the missing details of the LPV system theory that have hindered the formu- tion of a well established identi?cation framework.
650		0	_aEngineering.
650		0	_aSystems theory.
650	1	4	_aEngineering.
650	2	4	_aControl.
650	2	4	_aSystems Theory, Control.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642138119
830		0	_aLecture Notes in Control and Information Sciences, _x0170-8643 ; _v403
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-13812-6
596			_a19
942			_cLIBRO_ELEC
999			_c202473 _d202473