000			03661nam a22005175i 4500
001			978-1-4471-6606-1
003			DE-He213
005			20200421111656.0
007			cr nn 008mamaa
008			141016s2015 xxk| s |||| 0|eng d
020			_a9781447166061 _9978-1-4471-6606-1
024	7		_a10.1007/978-1-4471-6606-1 _2doi
050		4	_aTJ212-225
072		7	_aTJFM _2bicssc
072		7	_aTEC004000 _2bisacsh
082	0	4	_a629.8 _223
100	1		_aEbihara, Yoshio. _eauthor.
245	1	0	_aS-Variable Approach to LMI-Based Robust Control _h[electronic resource] / _cby Yoshio Ebihara, Dimitri Peaucelle, Denis Arzelier.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2015.
300			_aXVII, 246 p. 38 illus., 34 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		_aCommunications and Control Engineering, _x0178-5354
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			_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.
650		0	_aEngineering.
650		0	_aSystem theory.
650		0	_aMathematical optimization.
650		0	_aControl engineering.
650	1	4	_aEngineering.
650	2	4	_aControl.
650	2	4	_aSystems Theory, Control.
650	2	4	_aOptimization.
700	1		_aPeaucelle, Dimitri. _eauthor.
700	1		_aArzelier, Denis. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781447166054
830		0	_aCommunications and Control Engineering, _x0178-5354
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4471-6606-1
912			_aZDB-2-ENG
942			_cEBK
999			_c54732 _d54732