LEADER 01371nam0-22004571i-450- 001 990001498240403321 005 20090715115745.0 010 $a88-424-9595-6 035 $a000149824 035 $aFED01000149824 035 $a(Aleph)000149824FED01 035 $a000149824 100 $a20021125d2002----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa---a---001yy 200 1 $a<>matematici e le macchine intelligenti$espiegazione e unificazione nella scienza cognitiva$fGuglielmo Tamburrini 210 $aMilano$cBruno Mondadori$dc2002 215 $a176 p.$d22 cm 225 1 $aMatematica e dintorni 610 0 $aCibernetica 610 0 $aIntelligenza artificiale 610 0 $aEpistemologia 610 0 $aFondamenti della logica matematica e probabilità 610 0 $aScienza cognitiva 676 $a003.5 700 1$aTamburrini,$bGuglielmo$066919 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001498240403321 952 $a4A-190$bD.S.F. 7669$fFI1 952 $a003.5-TAM-1B$b1925$fSC1 952 $a003.5-TAM-1$b1923$fSC1 952 $a003.5-TAM-1C$b1926$fSC1 952 $a003.5-TAM-1A$b1924$fSC1 952 $a003.5-TAM-1D$b1927$fSC1 952 $aXI C T 29$b1780$fDFD 959 $aSC1 959 $aDFD 996 $aMatematici e le macchine intelligenti$9147472 997 $aUNINA LEADER 01415nam--2200421---450- 001 990003272640203316 005 20090616123141.0 010 $a978-3-11-020442-1 035 $a000327264 035 $aUSA01000327264 035 $a(ALEPH)000327264USA01 035 $a000327264 100 $a20090616d2009----km-y0itay50------ba 101 $ager 102 $aDE 105 $a||||||||001yy 200 1 $aGegenwärtige Vergangenheit$eAusgewählte kleine Schriften$fvon Egert Pöhlmann$gHerausgegeben, mit einem Vorwort und einem Schriftenverzeichnis versehen von georg Heldmann 210 $aBerlin$aNew York$cWalter de Gruyter$d2009 215 $aXIII, 316 p., [6] c. di tav.$cill.$d24 cm 225 2 $aBeiträge zur Altertumskunde$v262 410 0$12001 454 0$12001 606 0 $aLetteratura classica$xSaggi$2BNCF 676 $a880.9001 700 1$aPÖHLMANN,$bEgert$0557623 702 1$aHELDMANN,$bGeorg 801 0$aIT$bsalbc$gISBD 912 $a990003272640203316 951 $aV.1.B. 937$b216255 L.M.$cV.1.B.$d00226187 959 $aBK 969 $aUMA 979 $aALESSANDRA$b90$c20090616$lUSA01$h1218 979 $aALESSANDRA$b90$c20090616$lUSA01$h1218 979 $aALESSANDRA$b90$c20090616$lUSA01$h1222 979 $aALESSANDRA$b90$c20090616$lUSA01$h1231 979 $aCHIARA$b90$c20120925$lUSA01$h1555 996 $aGegenwärtige Vergangenheit$91118287 997 $aUNISA LEADER 04198nam 2200697 a 450 001 9910437866903321 005 20200520144314.0 010 $a1-283-94496-0 010 $a3-642-34100-4 024 7 $a10.1007/978-3-642-34100-7 035 $a(CKB)2670000000317391 035 $a(EBL)1082771 035 $a(OCoLC)823388573 035 $a(SSID)ssj0000810703 035 $a(PQKBManifestationID)11437216 035 $a(PQKBTitleCode)TC0000810703 035 $a(PQKBWorkID)10833450 035 $a(PQKB)10993235 035 $a(DE-He213)978-3-642-34100-7 035 $a(MiAaPQ)EBC1082771 035 $a(PPN)168326140 035 $a(EXLCZ)992670000000317391 100 $a20121204d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aContinuous-time Markov jump linear systems /$fOswaldo L.V. Costa, Marcelo D. Fragoso, Marcos G. Todorov 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (294 p.) 225 1 $aProbability and its applications,$x1431-7028 300 $aDescription based upon print version of record. 311 $a3-642-43112-7 311 $a3-642-34099-7 320 $aIncludes bibliographical references and index. 327 $a1.Introduction -- 2.A Few Tools and Notations -- 3.Mean Square Stability -- 4.Quadratic Optimal Control with Complete Observations -- 5.H2 Optimal Control With Complete Observations -- 6.Quadratic and H2 Optimal Control with Partial Observations -- 7.Best Linear Filter with Unknown (x(t), ?(t)) -- 8.H_$infty$ Control -- 9.Design Techniques -- 10.Some Numerical Examples -- A. Coupled Differential and Algebraic Riccati Equations -- B. The Adjoint Operator and Some Auxiliary Results -- References. - Notation and Conventions -- Index. 330 $aIt has been widely recognized nowadays the importance of introducing mathematical models that take into account possible sudden changes in the dynamical behavior of  high-integrity systems or a safety-critical system. Such systems can be found in aircraft control, nuclear power stations, robotic manipulator systems, integrated communication networks and large-scale flexible structures for space stations, and are inherently vulnerable to abrupt changes in their structures caused by component or interconnection failures. In this regard, a particularly interesting class of models is the so-called Markov jump linear systems (MJLS), which have been used in numerous applications including robotics, economics and wireless communication. Combining probability and operator theory, the present volume provides a unified and rigorous treatment of recent results in control theory of continuous-time MJLS. This unique approach is of great interest to experts working in the field of linear systems with Markovian jump parameters or in stochastic control. The volume focuses on one of the few cases of stochastic control problems with an actual explicit solution and offers material well-suited to coursework, introducing students to an interesting and active research area. The book is addressed to researchers working in control and signal processing engineering. Prerequisites include a solid background in classical linear control theory, basic familiarity with continuous-time Markov chains and probability theory, and some elementary knowledge of operator theory. 410 0$aProbability and its applications (Springer-Verlag) 606 $aStochastic control theory 606 $aStochastic systems 606 $aLinear systems 606 $aControl theory 606 $aMarkov processes 615 0$aStochastic control theory. 615 0$aStochastic systems. 615 0$aLinear systems. 615 0$aControl theory. 615 0$aMarkov processes. 676 $a003.76 700 $aCosta$b Oswaldo L. V$01754553 701 $aFragoso$b Marcelo D$01754554 701 $aTodorov$b Marcos G$01754555 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437866903321 996 $aContinuous-time Markov jump linear systems$94190984 997 $aUNINA