Robust synchronization analysis of delayed fractional order neural networks with uncertain parameters

Abstract

This paper is concerned with the robust synchronization analysis of delayed fractional order neural networks with uncertain parameters (DFNNUPs). Firstly, the DFNNUPs drive system model and response system model are established. Secondly, using multiple matrix quadratic Lyapunov function approach and inequality analysis technique, the robust synchronization conditions are derived in the form of the matrix inequalities. Finally, the correctness of the theoretical results is verified by an example.

Keywords

• robust synchronization
• delayed fractional order neural networks
• uncertain parameters
• multiple matrix quadratic lyapunov function
• matrix inequalities