000 04245nam a22006135i 4500
001 978-1-84628-052-8
003 DE-He213
005 20161121231016.0
007 cr nn 008mamaa
008 100301s2005 xxk| s |||| 0|eng d
020 _a9781846280528
_9978-1-84628-052-8
024 7 _a10.1007/b137802
_2doi
050 4 _aQA75.5-76.95
072 7 _aUY
_2bicssc
072 7 _aUYA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aCOM031000
_2bisacsh
082 0 4 _a004.0151
_223
100 1 _aTempo, Roberto.
_eauthor.
245 1 0 _aRandomized Algorithms for Analysis and Control of Uncertain Systems
_h[electronic resource] /
_cby Roberto Tempo, Fabrizio Dabbene, Giuseppe Calafiore.
264 1 _aLondon :
_bSpringer London,
_c2005.
300 _aXVII, 344 p. 54 illus.
_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 _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.
650 0 _aComputer science.
650 0 _aComputers.
650 0 _aAlgorithms.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 0 _aSystem theory.
650 0 _aControl engineering.
650 0 _aElectrical engineering.
650 1 4 _aComputer Science.
650 2 4 _aTheory of Computation.
650 2 4 _aControl.
650 2 4 _aApplications of Mathematics.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 2 4 _aSystems Theory, Control.
650 2 4 _aCommunications Engineering, Networks.
700 1 _aDabbene, Fabrizio.
_eauthor.
700 1 _aCalafiore, Giuseppe.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781852335243
830 0 _aCommunications and Control Engineering,
_x0178-5354
856 4 0 _uhttp://dx.doi.org/10.1007/b137802
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c507205
_d507205