LEADER 05179nam 22007215 450 001 9910299670903321 005 20220407173259.0 010 $a3-319-08711-8 024 7 $a10.1007/978-3-319-08711-5 035 $a(CKB)3710000000202734 035 $a(EBL)1783133 035 $a(OCoLC)894170076 035 $a(SSID)ssj0001295651 035 $a(PQKBManifestationID)11843711 035 $a(PQKBTitleCode)TC0001295651 035 $a(PQKBWorkID)11346390 035 $a(PQKB)10322275 035 $a(DE-He213)978-3-319-08711-5 035 $a(MiAaPQ)EBC1783133 035 $a(PPN)179923374 035 $a(EXLCZ)993710000000202734 100 $a20140721d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aNonlinear stochastic systems with network-induced phenomena $erecursive filtering and sliding-mode design /$fby Jun Hu, Zidong Wang, Huijun Gao 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (230 p.) 300 $aDescription based upon print version of record. 311 $a3-319-08710-X 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aRecursive Filtering with Missing Measurements and Quantized Effects -- Recursive Filtering with Fading Measurements, Sensor Delays, and Correlated -- Noises -- Probability-Guaranteed H? Finite Horizon Filtering with Sensor Saturations -- H? Sliding Mode Observer Design for Nonlinear Time-Delay Systems -- Sliding Mode Control with Time-Varying Delays and Randomly Occurring Nonlinearities -- Sliding Mode Control with Randomly Occurring Uncertainties and Mixed Time-Delays. 330 $aThis monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced phenomena consequent on limited communication capacity. Such phenomena include communication delay, packet dropout, signal quantization or saturation, randomly occurring nonlinearities and randomly occurring uncertainties. The text is self-contained, beginning with an introduction to nonlinear stochastic systems, network-induced phenomena and filtering and control, moving through a collection of the latest research results which focuses on the three aspects of: ·        the state-of-the-art of nonlinear filtering and control; ·        recent advances in recursive filtering and sliding mode control; and ·        their potential for application in networked control systems, and concluding with some ideas for future research work. New concepts such as the randomly occurring uncertainty and the probability-constrained performance index are proposed to make the network models as realistic as possible. The power of combinations of such recent tools as the completing-the-square and sums-of-squares techniques, Hamilton?Jacobi?Isaacs matrix inequalities, difference linear matrix inequalities, and parameter-dependent matrix inequalities is exploited in treating the mathematical and computational challenges arising from nonlinearity and stochasticity. Nonlinear Stochastic Systems with Network-Induced Phenomena establishes a unified framework of control and filtering which will be of value to academic researchers in bringing structure to problems associated with an important class of networked system and offering new means of solving them. The significance of the new concepts, models and methods presented for practical control engineering and signal processing will also make it a valuable reference for engineers dealing with nonlinear control and filtering problems. 606 $aAutomatic control 606 $aProbabilities 606 $aElectrical engineering 606 $aSystem theory 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070 615 0$aAutomatic control. 615 0$aProbabilities. 615 0$aElectrical engineering. 615 0$aSystem theory. 615 14$aControl and Systems Theory. 615 24$aProbability Theory and Stochastic Processes. 615 24$aCommunications Engineering, Networks. 615 24$aSystems Theory, Control. 676 $a519 676 $a519.2 676 $a620 676 $a621.382 700 $aHu$b Jun$4aut$4http://id.loc.gov/vocabulary/relators/aut$0696065 702 $aWang$b Zidong$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aGao$b Huijun$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299670903321 996 $aNonlinear Stochastic Systems with Network-Induced Phenomena$92522064 997 $aUNINA