|
|||||
|
|
Adaptive Synchronization-Based Approach for Finite-Time Parameters Identification of Genetic Regulatory Networks |
|
| Authors: | Li Yuru Wang Fei Zheng Zhaowen |
| Affiliation: | 1.School of Mathematical Sciences, Qufu Normal University, Qufu, 273165, Shandong, People’s Republic of China ;2.Laboratory of Mathematics and Complex Systems (Ministry of Education of China), School of Mathematical Sciences, Beijing Normal University, Beijing, 100875, People’s Republic of China ; |
| Abstract: | Neural Processing Letters - This paper presents an approach to identify the unknown parameters of genetic regulatory network (GRN) in finite-time. The adaptive synchronization-based method is used... |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |