MARC Record from Library of Congress

LEADER: 02839cam a2200373 i 4500
001 2012951683
003 DLC
005 20151205081746.0
008 121015s2013 enka b 001 0 eng
010 $a 2012951683
020 $a9781447146094 (alk. paper)
020 $a1447146093 (alk. paper)
020 $z9781447146100 (ebook)
040 $aDLC$beng$erda$cDLC$dDLC
042 $apcc
050 00 $aQA402$b.T43 2013
100 1 $aTempo, R.,$eauthor.
245 10 $aRandomized algorithms for analysis and control of uncertain systems :$bwith applications /$cRoberto Tempo, Giuseppe Calafiore, Fabrizio Dabbene.
250 $aSecond Edition.
264 1 $aLondon :$bSpringer,$c[2013]
300 $axxiii, 357 pages :$billustrations (some color) ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 0 $aCommunications and control engineering,$x0178-5354
520 $a"The presence of uncertainty in a system description has always been a critical issue in control. The main objective of Randomized Algorithms for Analysis and Control of Uncertain Systems, with Applications (Second Edition) is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of systems subject to deterministic and stochastic uncertainty. The approach propounded by this text guarantees a reduction in the computational complexity of classical control algorithms and in the conservativeness of standard robust control techniques. The second edition has been thoroughly updated to reflect recent research and new applications with chapters on statistical learning theory, sequential methods for control and the scenario approach being completely rewritten."--$cPublisher's website.
504 $aIncludes bibliographical references (pages 337-352) and index.
505 0 $a1. Overview -- 2. Elements of probability theory -- 3. Uncertain linear systems -- 4. Linear robust control design -- 5. Limits of the robustness paradigm -- 6. Probabilistic methods for uncertain systems -- 7. Monte Carlo methods -- 8. Probability inequalities -- 9. Statistical learning theory -- 10. Randomized algorithms in systems and control -- 11. Sequential methods for probabilistic design -- 12. Scenario approach to probabilistic design -- 13. Learning-based probabilistic design -- 14. Random number and variate generation -- 15. Statistical theory of random vectors -- 16. Vector randomization methods -- 17. Statistical theory of random matrices -- 18. Matrix randomization methods -- 19. Applications of randomized algorithms.
650 0 $aControl theory.
650 0 $aSystem analysis.
650 0 $aStochastic processes.
650 0 $aAlgorithms.
700 1 $aCalafiore, Giuseppe,$d1969-$eauthor.
700 1 $aDabbene, Fabrizio,$d1968-$eauthor.