Delay-dependent H-infinity and generalized H-2 filtering for stochastic neural networks with time-varying delay and noise disturbance

作者：Hua, Mingang^*; Tan, Huasheng; Chen, Junfeng

来源：Neural Computing & Applications, 2014, 25(3-4): 613-624.

DOI：10.1007/s00521-013-1531-7

• Stochastic neural networks
• Filter design
• Time-varying delay
• Asymptotical mean-square stability
• Linear matrix inequalities

This paper presents the delay-dependent and generalized H (2) filters design for stochastic neural networks with time-varying delay and noise disturbance. The stochastic neural networks under consideration are subject to time-varying delay in both the state and measurement equations. The aim is to design a stable full-order linear filter assuring asymptotical mean-square stability and a prescribed or generalized H (2) performance indexes for the filtering error systems. Delay-dependent sufficient conditions for the existence of and generalized H (2) filters are both proposed in terms of linear matrix inequalities. Finally, numerical example demonstrates that the proposed approaches are effective.

• 出版日期2014-9
• 单位河海大学