000 03771nam a22004815i 4500
001 978-3-642-13812-6
003 DE-He213
005 20200625161312.0
007 cr nn 008mamaa
008 100710s2010 gw | s |||| 0|eng d
020 _a9783642138126
_9978-3-642-13812-6
024 7 _a10.1007/978-3-642-13812-6
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8
_223
100 1 _aToth, Roland.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_97868
245 1 0 _aModeling and Identification of Linear Parameter-Varying Systems
_h[electronic resource] /
_cby Roland Toth.
250 _a1st ed. 2010.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2010.
300 _a325 p. 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 handle the control of mildly nonlinear and especially position dependent systems which are common in mechatronic applications and in the process industry. 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 _aControl engineering.
_97869
650 0 _aSystem theory.
_93793
650 1 4 _aControl and Systems Theory.
_0http://scigraph.springernature.com/things/product-market-codes/T19010
_97870
650 2 4 _aSystems Theory, Control.
_0http://scigraph.springernature.com/things/product-market-codes/M13070
_97871
710 2 _aSpringerLink (Online service)
_91367
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642138119
776 0 8 _iPrinted edition:
_z9783642138133
830 0 _aLecture Notes in Control and Information Sciences,
_x0170-8643 ;
_v403
_97872
856 4 0 _uhttps://doi.org/10.1007/978-3-642-13812-6
912 _aZDB-2-ENG
912 _aZDB-2-LNI
999 _c374656
_d374656