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008			210621s2021 gw | s |||| 0|eng d
020			_a9783658340087
024	7		_a10.1007/978-3-658-34008-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA871 _b2021 EB
100	1		_aMayr, Christian, _9681239 _dapproximately 1805-1851
245	1	0	_aStability Analysis and Controller Design of Local Model Networks _cby Christian Mayr.
250			_aFirst edition 2021
264		1	_aWiesbaden _bSpringer International Publising _bSpringer International Publising _c2021.
300			_a1 recurso en línea (XXIII, 111 páginas) _b55 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_aDynamic Local Model Networks -- Open Loop Stability Analysis -- Closed-Loop Stability Analysis and Controller Design -- PID Controller Design.
520	3		_aThis book treats various methods for stability analysis and controller design of local model networks (LMNs). LMNs have proved to be a powerful tool in nonlinear dynamic system identification. Their system architecture is more suitable for controller design compared to alternative approximation methods. The main advantage is that linear controller design methods can be, at least locally, applied and combined with nonlinear optimization to calibrate stable state feedback as well as PID controller. The calibration of stable state-feedback controllers is based on the closed loop stability analysis methods. Here, global LMIs (Linear Matrix Inequalities) can be derived and numerically solved. For LMN based nonlinear PID controllers deriving global LMIs is not possible. Thus, two approaches are treated in this book. The first approach works iteratively to get LMIs in each iteration step. The second approach uses a genetic algorithm to determine the PID controller parameters where for each individual the stability is checked. It allows simultaneous enhancement of (competing) optimization criteria. About the author Christian Mayr received the M.S. degree in mechanical engineering, the Ph.D. degree in technical sciences from TU Wien, Vienna, Austria, in 2009 and 2013, respectively. Since 2013 he is with AVL List GmbH, Graz, Austria. First as Development Engineer, from 2017 as Project Manager, in 2020 as Team Leader and since 2021 Department Manager for Virtualization Application.
988			_aSpringer_Computer_2021
776	0	8	_iPrinted edition: _z9783658340070
776	0	8	_iPrinted edition: _z9783658340094
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-658-34008-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2022 _dz _eh _zSI