LEADER 05460nam 2200721 a 450 001 9910437880903321 005 20200520144314.0 010 $a9781283909877 010 $a1283909871 010 $a9781447146100 010 $a1447146107 024 7 $a10.1007/978-1-4471-4610-0 035 $a(CKB)2670000000277995 035 $a(EBL)1081747 035 $a(OCoLC)820329400 035 $a(SSID)ssj0000799087 035 $a(PQKBManifestationID)11957481 035 $a(PQKBTitleCode)TC0000799087 035 $a(PQKBWorkID)10756001 035 $a(PQKB)10421261 035 $a(DE-He213)978-1-4471-4610-0 035 $a(MiAaPQ)EBC1081747 035 $a(PPN)168293919 035 $a(EXLCZ)992670000000277995 100 $a20121108d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aRandomized algorithms for analysis and control of uncertain systems $ewith applications /$fRoberto Tempo, Giuseppe Calafiore, Fabrizio Dabbene 205 $a2nd ed. 210 $aLondon $cSpringer$d2013 215 $a1 online resource (362 p.) 225 0$aCommunications and control engineering,$x0178-5354 300 $aDescription based upon print version of record. 311 08$a9781447161400 311 08$a1447161408 311 08$a9781447146094 311 08$a1447146093 320 $aIncludes bibliographical references and index. 327 $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. 330 $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. 410 0$aCommunications and Control Engineering,$x0178-5354 606 $aControl theory 606 $aSystem analysis 606 $aStochastic processes 606 $aAlgorithms 615 0$aControl theory. 615 0$aSystem analysis. 615 0$aStochastic processes. 615 0$aAlgorithms. 676 $a003 700 $aTempo$b R$020605 701 $aCalafiore$b Giuseppe$067865 701 $aDabbene$b Fabrizio$0147738 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437880903321 996 $aRandomized algorithms for analysis and control of uncertain systems$94204746 997 $aUNINA