Analysis and Design of Delayed Genetic Regulatory Networks
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, shastic and/or parameter-varying changes. Specifically, the types examined include delayed switching GRNs, delayed shastic 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.

1133189208
Analysis and Design of Delayed Genetic Regulatory Networks
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, shastic and/or parameter-varying changes. Specifically, the types examined include delayed switching GRNs, delayed shastic 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.

109.99 In Stock
Analysis and Design of Delayed Genetic Regulatory Networks

Analysis and Design of Delayed Genetic Regulatory Networks

Analysis and Design of Delayed Genetic Regulatory Networks

Analysis and Design of Delayed Genetic Regulatory Networks

Hardcover(1st ed. 2019)

$109.99 
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Overview

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, shastic and/or parameter-varying changes. Specifically, the types examined include delayed switching GRNs, delayed shastic 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.


Product Details

ISBN-13: 9783030170974
Publisher: Springer International Publishing
Publication date: 04/12/2019
Series: Studies in Systems, Decision and Control , #207
Edition description: 1st ed. 2019
Pages: 263
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

Stability Analysis for GRNs with Mixed Delays.- Stability Analysis of Delayed GRNs.- Stability Analysis for Delayed Switching GRNs.- Stability Analysis for Delayed Shastic 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 Shastic GRNs.- H State Estimation for Delayed Discrete-Time GRNs.

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