LEADER 00766nam0-2200277---450- 001 990008371590403321 005 20060905103613.0 035 $a000837159 035 $aFED01000837159 035 $a(Aleph)000837159FED01 035 $a000837159 100 $a20060904d1946----km-y0engy50------ba 101 0 $aeng 102 $aUS 105 $a--------001yy 200 1 $a<>nuremberg trial and aggressive war$fSheldon Glueck 210 $aNew York$cKraus Reprint$d1946 215 $a121 p.$c25 cm 700 1$aGlueck,$bSheldon$f<1896-1980>$0224782 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008371590403321 952 $aDI 5/320$b2250$fDEC 959 $aDEC 996 $aNuremberg trial and aggressive war$9723815 997 $aUNINA LEADER 03750nam 2200565 a 450 001 9910739479503321 005 20200520144314.0 010 $a1-299-19715-9 010 $a1-4471-4914-9 024 7 $a10.1007/978-1-4471-4914-9 035 $a(OCoLC)828734466 035 $a(MiFhGG)GVRL6UYX 035 $a(CKB)2670000000530162 035 $a(MiAaPQ)EBC1106245 035 $a(EXLCZ)992670000000530162 100 $a20130102d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aNonlinear stochastic systems with incomplete information $efiltering and control /$fBo Shen, Zidong Wang, Huisheng Shu 205 $a1st ed. 2013. 210 $aLondon $cSpringer$d2013 215 $a1 online resource (xvi, 248 pages) $cillustrations (some color) 225 0 $aGale eBooks 300 $aDescription based upon print version of record. 311 $a1-4471-4913-0 311 $a1-4471-6000-2 320 $aIncludes bibliographical references and index. 327 $aFrom the Contents: Quantized H-infinity Control for Nonlinear Stochastic Time-delay Systems with Missing Measurements -- Nonlinear H-infinity Filtering for Discrete-Time Stochastic Systems with Missing Measurements and Randomly Varying Sensor Delays -- Robust H-infinity Filtering with Randomly Occurring Nonlinearities, Quantization Effects and Successive Packet Dropouts -- H-infinity Filtering with Randomly Occurring Sensor Saturations and Missing Measurements -- Distributed H-infinity Consensus Filtering in Sensor Networks with Multiple Missing Measurements: The Finite-Horizon Case. 330 $aNonlinear Stochastic Processes addresses the frequently-encountered problem of incomplete information. The causes of this problem considered here include: missing measurements; sensor delays and saturation; quantization effects; and signal sampling. Divided into three parts, the text begins with a focus on H? filtering and control problems associated with general classes of nonlinear stochastic discrete-time systems. Filtering problems are considered in the second part, and in the third the theory and techniques previously developed are applied to the solution of issues arising in complex networks with the design of sampled-data-based controllers and filters. Among its highlights, the text provides: ·         a unified framework for handling filtering and control problems in complex communication networks with limited bandwidth; ·         new concepts such as random sensor and signal saturations for more realistic modeling; and ·         demonstration of the use of techniques such as the Hamilton?Jacobi?Isaacs, difference linear matrix, and parameter-dependent matrix inequalities and sums of squares to handle the computational challenges inherent in these systems. The collection of recent research results presented in Nonlinear Stochastic Processes will be of interest to academic researchers in control and signal processing. Graduate students working with communication networks with lossy information and control of stochastic systems will also benefit from reading the book. 606 $aStochastic systems 606 $aNonlinear theories 615 0$aStochastic systems. 615 0$aNonlinear theories. 676 $a519 676 $a519.2 676 $a519.22 676 $a530.1/5 700 $aShen$b Bo$01424201 701 $aWang$b Zidong$0720602 701 $aShu$b Huisheng$01755718 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739479503321 996 $aNonlinear stochastic systems with incomplete information$94192621 997 $aUNINA