Synchronization Control of Discontinuous Neural Networks via Approximation
In this paper, complete synchronization is considered for the delayed neural networks with discontinuous activation functions. Under the framework of Filippov solution and in the sense of generalized derivative, a novel control method is given by using approximation and linear matrix inequality (LMI) approach. Based on the detailed analysis of previous works, several criteria are derived to ensure the global asymptotical stability of the error system, and thus the response system synchronizes with the drive system. Simulation results are given to illustrate the theoretical results.
Synchronization Delayed neural networks Discontinuous activation functions Filippov solution Generalized derivative LMI approach
Xiaoyang Liu Jinde Cao
Department of Mathematics, Southeast University, Nanjing 210096
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
782-787
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）