LEADER 03530nam 22005535 450 001 9910337614403321 005 20200703023951.0 010 $a3-030-17098-5 024 7 $a10.1007/978-3-030-17098-1 035 $a(CKB)4100000007938059 035 $a(MiAaPQ)EBC5780127 035 $a(DE-He213)978-3-030-17098-1 035 $a(PPN)235669989 035 $a(EXLCZ)994100000007938059 100 $a20190411d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalysis and Design of Delayed Genetic Regulatory Networks /$fby Xian Zhang, Yantao Wang, Ligang Wu 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (275 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4182 ;$v207 311 $a3-030-17097-7 327 $aStability Analysis for GRNs with Mixed Delays -- Stability Analysis of Delayed GRNs -- Stability Analysis for Delayed Switching GRNs -- Stability Analysis for Delayed Stochastic GRNs -- Stability Analysis for Delayed Reaction-Di?usion GRNs -- State Estimation for Delayed GRNs -- Guaranteed Cost Control for Delayed GRNs -- State Estimation for Delayed Reaction-Di?usion GRNs -- H State Estimation for Delayed Stochastic GRNs -- H State Estimation for Delayed Discrete-Time GRNs. 330 $aThis book offers an essential introduction to the latest advances in delayed genetic regulatory networks (GRNs) and presents cutting-edge work on the analysis and design of delayed GRNs in which the system parameters are subject to uncertain, stochastic and/or parameter-varying changes. Specifically, the types examined include delayed switching GRNs, delayed stochastic GRNs, delayed reaction?diffusion GRNs, delayed discrete-time GRNs, etc. In addition, the solvability of stability analysis, control and estimation problems involving delayed GRNs are addressed in terms of linear matrix inequality or M-matrix tests. The book offers a comprehensive reference guide for researchers and practitioners working in system sciences and applied mathematics, and a valuable source of information for senior undergraduates and graduates in these areas. Further, it addresses a gap in the literature by providing a unified and concise framework for the analysis and design of delayed GRNs. 410 0$aStudies in Systems, Decision and Control,$x2198-4182 ;$v207 606 $aVibration 606 $aDynamical systems 606 $aDynamics 606 $aComputational intelligence 606 $aVibration, Dynamical Systems, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/T15036 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 615 0$aVibration. 615 0$aDynamical systems. 615 0$aDynamics. 615 0$aComputational intelligence. 615 14$aVibration, Dynamical Systems, Control. 615 24$aComputational Intelligence. 676 $a572.865 700 $aZhang$b Xian$4aut$4http://id.loc.gov/vocabulary/relators/aut$0897249 702 $aWang$b Yantao$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aWu$b Ligang$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910337614403321 996 $aAnalysis and Design of Delayed Genetic Regulatory Networks$92004560 997 $aUNINA