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007			cr nn 008mamaa
008			121026s2013 xxk| s |||| 0|eng d
020			_a9781447146100 _9978-1-4471-4610-0
024	7		_a10.1007/978-1-4471-4610-0 _2doi
050		4	_aTJ212-225
072		7	_aTJFM _2bicssc
072		7	_aTEC004000 _2bisacsh
082	0	4	_a629.8 _223
100	1		_aTempo, Roberto. _eauthor.
245	1	0	_aRandomized Algorithms for Analysis and Control of Uncertain Systems _h[electronic resource] : _bWith Applications / _cby Roberto Tempo, Giuseppe Calafiore, Fabrizio Dabbene.
250			_a2nd ed. 2013.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2013.
300			_aXXIV, 360 p. _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		_aUncertainty and Robustness -- Probability and Robustness of Uncertain Systems -- 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. The main objective of Randomized Algorithms for Analysis and Control of Uncertain Systems, with Applications (Second Edition) is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of systems subject to deterministic and stochastic uncertainty. The approach propounded by this text guarantees a reduction in the computational complexity of classical  control algorithms and in the conservativeness of standard robust control techniques. The second edition has been thoroughly updated to reflect recent research and new applications with chapters on statistical learning theory, sequential methods for control and the scenario approach being completely rewritten.   Features: ·         self-contained treatment explaining Monte Carlo and Las Vegas randomized algorithms from their genesis in the principles of probability theory to their use for system analysis; ·         development of a novel paradigm for (convex and nonconvex) controller synthesis in the presence of uncertainty and in the context of randomized algorithms; ·         comprehensive treatment of multivariate sample generation techniques, including consideration of the difficulties involved in obtaining identically and independently distributed samples; ·         applications of randomized algorithms in various endeavours, such as PageRank computation for the Google Web search engine,  unmanned aerial vehicle design (both new in the second edition), congestion control of high-speed communications networks and stability of quantized sampled-data systems.   Randomized Algorithms for Analysis and Control of Uncertain Systems (second edition) is certain to interest academic researchers and graduate control students working in probabilistic, robust or optimal control methods and 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 The Communications and Control Engineering series reports major technological advances which have potential for great impact in the fields of communication and control. It reflects research in industrial and academic institutions around the world so that the readership can exploit new possibilities as they become available.
650		0	_aEngineering.
650		0	_aSystem theory.
650		0	_aAlgorithms.
650		0	_aComplexity, Computational.
650		0	_aControl engineering.
650		0	_aElectrical engineering.
650	1	4	_aEngineering.
650	2	4	_aControl.
650	2	4	_aSystems Theory, Control.
650	2	4	_aComplexity.
650	2	4	_aAlgorithms.
650	2	4	_aCommunications Engineering, Networks.
700	1		_aCalafiore, Giuseppe. _eauthor.
700	1		_aDabbene, Fabrizio. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781447146094
830		0	_aCommunications and Control Engineering, _x0178-5354
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4471-4610-0
912			_aZDB-2-ENG
942			_2Dewey Decimal Classification _ceBooks
999			_c43621 _d43621