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001			292092
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008			150903s2005 xxk| o |||| 0|eng d
020			_a9781846280528 _99781846280528
024	7		_a10.1007/b137802 _2doi
035			_avtls000343603
039		9	_a201509031116 _bVLOAD _c201405070508 _dVLOAD _y201402061200 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
100	1		_aTempo, Roberto. _eautor _9315552
245	1	0	_aRandomized Algorithms for Analysis and Control of Uncertain Systems / _cby Roberto Tempo, Fabrizio Dabbene, Giuseppe Calafiore.
264		1	_aLondon : _bSpringer London, _c2005.
300			_axvii, 344 páginas 54 ilustraciones _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aCommunications and Control Engineering, _x0178-5354
500			_aSpringer eBooks
505	0		_aOverview -- Elements of Probability Theory -- Uncertain Linear Systems and Robustness -- Linear Robust Control Design -- Some Limits of the Robustness Paradigm -- Probabilistic Methods for Robustness -- Monte Carlo Methods -- Randomized Algorithms in Systems and Control -- Probability Inequalities -- Statistical Learning Theory and Control Design -- Sequential Algorithms for Probabilistic Robust Design -- Sequential Algorithms for LPV Systems -- Scenario Approach for Probabilistic Robust Design -- Random Number and Variate Generation -- Statistical Theory of Radial Random Vectors -- Vector Randomization Methods -- Statistical Theory of Radial Random Matrices -- Matrix Randomization Methods -- Applications of Randomized Algorithms.
520			_aThe presence of uncertainty in a system description has always been a critical issue in control. Moving on from earlier stochastic and robust control paradigms, the main objective of this book is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of uncertain systems. Using so-called "randomized algorithms", this emerging area of research guarantees a reduction in the computational complexity of classical robust control algorithms and in the conservativeness of methods like H-infinity control. Features: • self-contained treatment explaining randomized algorithms from their genesis in the principles of probability theory to their use for robust analysis and controller synthesis; • comprehensive treatment of sample generation, including consideration of the difficulties involved in obtaining independent and identically distributed samples; • applications of randomized algorithms in congestion control of high-speed communications networks and the stability of quantized sampled-data systems. Randomized Algorithms for Analysis and Control of Uncertain Systems will be of certain interest to control theorists concerned with robust and optimal control techniques and to all control engineers dealing with system uncertainties. The present book is a very timely contribution to the literature. I have no hesitation in asserting that it will remain a widely cited reference work for many years. M. Vidyasagar
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aDabbene, Fabrizio. _eautor _9315554
700	1		_aCalafiore, Giuseppe. _eautor _9315553
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781852335243
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/b137802 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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