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1. |
Record Nr. |
UNINA9910337614403321 |
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Autore |
Zhang Xian |
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Titolo |
Analysis and Design of Delayed Genetic Regulatory Networks / / by Xian Zhang, Yantao Wang, Ligang Wu |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (275 pages) |
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Collana |
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Studies in Systems, Decision and Control, , 2198-4182 ; ; 207 |
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Disciplina |
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Soggetti |
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Vibration |
Dynamical systems |
Dynamics |
Computational intelligence |
Vibration, Dynamical Systems, Control |
Computational Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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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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