Dissipativity and Error Feedback Controller Design of Time-Delay Genetic Regulatory Networks
Author(s) -
Yonggang Ma,
Junmei Liu,
Jiao Ai
Publication year - 2021
Publication title -
journal of mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.252
H-Index - 13
eISSN - 2314-4785
pISSN - 2314-4629
DOI - 10.1155/2021/9940229
Subject(s) - mathematics , control theory (sociology) , dissipative system , controller (irrigation) , norm (philosophy) , set (abstract data type) , stability theory , stability (learning theory) , control (management) , matrix (chemical analysis) , mathematical optimization , computer science , physics , materials science , quantum mechanics , nonlinear system , artificial intelligence , machine learning , law , political science , agronomy , composite material , biology , programming language
Genetic regulatory networks (GRNs) play an important role in the development and evolution of the biological system. With the rapid development of DNA technology, further research on GRNs becomes possible. In this paper, we discuss a class of time-delay genetic regulatory networks with external inputs. Firstly, under some reasonable assumptions, using matrix measures, matrix norm inequalities, and Halanay inequalities, we give the global dissipative properties of the solution of the time-delay genetic regulation networks and estimate the parameter-dependent global attraction set. Secondly, an error feedback control system is designed for the time-delay genetic control networks. Furthermore, we prove that the estimation error of the model is asymptotically stable. Finally, two examples are used to illustrate the validity of the theoretical results.
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