Analysis and Design of Delayed Genetic Regulatory Networks (Hardcover, 1st ed. 2019)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Systems, Decision and Control, 207
Release date:	April 2019
First published:	2019
Authors:	Xian Zhang • Yantao Wang • Ligang Wu
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	263
Edition:	1st ed. 2019
ISBN-13:	978-3-03-017097-4
Categories:	Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > General
LSN:	3-03-017097-7
Barcode:	9783030170974

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