Analysis and Design of Delayed Genetic Regulatory Networks [electronic resource] / by Xian Zhang, Yantao Wang, Ligang Wu.
By: Zhang, Xian [author.]
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Contributor(s): Wang, Yantao [author.] | Wu, Ligang [author.] | SpringerLink (Online service).
Material type: 
BookSeries: Studies in Systems, Decision and Control: 207Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XXI, 263 p. 53 illus., 51 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030170981.Subject(s): Multibody systems | Vibration | Mechanics, Applied | Computational intelligence | Multibody Systems and Mechanical Vibrations | Computational IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 620.3 Online resources: Click here to access online Stability 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-Diffusion GRNs -- State Estimation for Delayed GRNs -- Guaranteed Cost Control for Delayed GRNs -- State Estimation for Delayed Reaction-Diffusion GRNs -- H State Estimation for Delayed Stochastic GRNs -- H State Estimation for Delayed Discrete-Time GRNs.
This 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.
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