@inproceedings{7ba0856bbc544d2f99afde00e91df66b,
title = "Reachable Set Estimation of Switched Genetic Regulatory Networks with Mixed Delays and Bounded Disturbances*",
abstract = "This paper addresses the problem of reachable set estimation for switched genetic regulatory networks with mixed delays and bounded disturbances. A delay-dependent sufficient condition is investigated to guarantee that the reachable set of genetic regulatory networks under consideration is contained within a Cartesian product of two polytopes or spheres. The sufficient condition involves only some simple inequalities, which can be easily verified by using the usual tool software. A numerical example is given to present that the proposed method is effective. Compared with the Lyapunov-Krasovskii functional method that has been used in many literature, the proposed method have two advantages: (i) No Lyapunov- Krasovskii functional is required; and (ii) Less computational complexity is involved.",
keywords = "Bounded disturbances, Mixed delays, Reachable set estimation, Switched genetic regulatory networks",
author = "Xian Zhang and Lina Zhang and Yu Xue and Xin Wang and Mouquan Shen and Zhu, {Jun Wei}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 59th IEEE Conference on Decision and Control, CDC 2020 ; Conference date: 14-12-2020 Through 18-12-2020",
year = "2020",
month = dec,
day = "14",
doi = "10.1109/CDC42340.2020.9304129",
language = "英语",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4324--4329",
booktitle = "2020 59th IEEE Conference on Decision and Control, CDC 2020",
address = "美国",
}