000			03108nam a22004215i 4500
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/274647764/ _9106996
999			_c102144 _d102144 _x1
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007			cr nn 008mamaa
008			180529s2018 gw | s |||| 0|eng d
020			_a9783319917078
024	7		_a10.1007/978-3-319-91707-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA402.3 _b2018 EB
100	1		_aFrank, Steven A. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n90682915 _1http://viaf.org/viaf/71695427/ _9673263
245	1	0	_aControl Theory Tutorial : _bBasic Concepts Illustrated by Software Examples _cby Steven A. Frank.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XI, 111 páginas) _b 32 ilustraciones, 22 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aSpringerBriefs in Applied Sciences and Technology _x2191-530X
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- Part I: Basic Principles -- Part II: Design Tradeoffs -- Part III: Common Challenges.
506	0		_aOpen Access
520	3		_aThis open access brief introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together. The concepts build slowly and naturally one after another, until the reader soon has a view of the whole. Each concept is illustrated by detailed examples and graphics. The full software code for each example is available, providing the basis for experimenting with various assumptions, learning how to write programs for control analysis, and setting the stage for future research projects. The topics focus on robustness, design trade-offs, and optimality. Most of the book develops classical linear theory. The last part of the book considers robustness with respect to nonlinearity and explicitly nonlinear extensions, as well as advanced topics such as adaptive control and model predictive control. New students, as well as scientists from other backgrounds who want a concise and easy-to-grasp coverage of control theory, will benefit from the emphasis on concepts and broad understanding of the various approaches.
988			_aEBSPRINGER_2018
650		7	_2embne _9145606 _aControl, Teoría de
650		7	_2embne _aControl automático _9405125
776	0	8	_iEdición impresa: _z9783319917061
776	0	8	_iEdición impresa: _z9783319917085
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-91707-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2020 _dz _ek _zSI