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008			141016s2015 xxk| s |||| 0|eng d
020			_a9781447166061
024	7		_a10.1007/978-1-4471-6606-1 _2doi
040			_bspa _dES-MaUEC
050		4	_aTJ217.2 _bE254 2015 EB
100	1		_aEbihara, Yoshio. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n2012046287 _1http://viaf.org/viaf/258023935/
245	1	0	_aS-Variable Approach to LMI-Based Robust Control _cby Yoshio Ebihara, Dimitri Peaucelle, Denis Arzelier.
264		1	_aLondon _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XVII, 246 páginas 38 ilustraciones, 34 ilustraciones a color.)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aCommunications and Control Engineering, _x0178-5354
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- Robust Performance Analysis of LTI Systems -- Descriptor Case and System Augmentation -- Robust State-Feedback Synthesis for LTI Systems -- Multi-Objective Controller Synthesis for LTI Systems -- Static Output-Feedback Synthesis -- Robust Performance Analysis of Discrete-Time Periodic Systems -- Robust Controller Synthesis of Periodic Discrete-Time Systems.
520	3		_aThis book shows how the use of S-variables (SVs) in enhancing the range of problems that can be addressed with the already-versatile linear matrix inequality (LMI) approach to control can, in many cases, be put on a more unified, methodical footing. Beginning with the fundamentals of the SV approach, the text shows how the basic idea can be used for each problem (and when it should not be employed at all). The specific adaptations of the method necessitated by each problem are also detailed. The problems dealt with in the book have the common traits that: analytic closed-form solutions are not available; and LMIs can be applied to produce numerical solutions with a certain amount of conservatism. Typical examples are robustness analysis of linear systems affected by parametric uncertainties and the synthesis of a linear controller satisfying multiple, often  conflicting, design specifications. For problems in which LMI methods produce conservative results, the SV approach is shown to achieve greater accuracy. The authors emphasize the simplicity and easy comprehensibility of the SV approach and show how it can be implemented in programs without difficulty so that its power becomes readily apparent. The S-Variable Approach to LMI-Based Robust Control is a useful reference for academic control researchers, applied mathematicians and graduate students interested in LMI methods and convex optimization and will also be of considerable assistance to practising control engineers faced with problems of conservatism in their systems and controllers.
988			_aEBSPRINGER_2018
650		7	_aSistemas de control no lineal _2embne _9666986
700	1		_aPeaucelle, Dimitri. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/213220351/
700	1		_aArzelier, Denis. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/nb2015000843 _1http://viaf.org/viaf/200043114/
776	0	8	_iEdición impresa: _z9781447166078
776	0	8	_iEdición impresa: _z9781447166054
776	0	8	_iEdición impresa: _z9781447172697
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4471-6606-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b06/2019 _dz _eIG _zSI