Analysis and Design of Delayed Genetic Regulatory Networks

Nonfiction, Science & Nature, Technology, Engineering, Mechanical, Computers, Advanced Computing, Artificial Intelligence
Cover of the book Analysis and Design of Delayed Genetic Regulatory Networks by Xian Zhang, Yantao Wang, Ligang Wu, Springer International Publishing
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Author: Xian Zhang, Yantao Wang, Ligang Wu ISBN: 9783030170981
Publisher: Springer International Publishing Publication: April 11, 2019
Imprint: Springer Language: English
Author: Xian Zhang, Yantao Wang, Ligang Wu
ISBN: 9783030170981
Publisher: Springer International Publishing
Publication: April 11, 2019
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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