Adaptive Synchronization-Based Approach for Finite-Time Parameters Identification of Genetic Regulatory Networks

摘要

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 to solve this problem. Specifically, an auxiliary system with adaptive parameters is constructed, which is regarded as slave system of the GRN with unknown parameters. Then, effective update laws of adaptive parameters and variable structure controllers are designed. The criteria of synchronization and parameters identification in finite-time are derived by utilizing finite-time Lyapunov stability theorem. Finally, an illustrative example is given to show the effectiveness of the main results.