Analysis and Design of Delayed Genetic Regulatory Networks / Xian Zhang, Yantao Wang, Ligang Wu
By: Zhang, Xian, autor
Contributor(s): SpringerLink (Online service) | Wang, Yantao., autor | Wu, Ligang., autor
Series: (Engineering (Springer-11647)); (Studies in Systems Decision and Control, 2198-4182; 207).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Description: 1 recurso en línea (XXI, 263 páginas) : 53 ilustraciones.ISBN: 9783030170981.Subject: GenéticaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QH430 2019 EB (Browse shelf(Opens below)) | Acceso electrónico | eBooks24062107 |
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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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