期刊论文

Liu, Xin-Ge

英文

Advances in Difference Equations

1687-1847

2016

2016

1

1-18

10.1186/s13662-016-0958-4

The authors would like to thank the reviewers for their valuable comments and constructive suggestions. This work is partly supported by National Natural Science Foundation of China under grants nos. 61271355 and 61375063, the ZNDXYJSJGXM under grant no. 2015JGB21, and the Educational Department of Hunan Province of China under grant no. 15C0243.

本校为其他机构

We investigate state estimation for a class of discrete-time recurrent neural networks with leakage delay and time-varying delay. The design method for the state estimator to estimate the neuron states through available output measurements is given. A novel delay-dependent sufficient condition is obtained for the existence of state estimator such that the estimation error system is globally asymptotically stable. Based a novel double summation inequality and reciprocally convex approach, an improved stability criterion is obtained for the error-state system. Two numerical examples are given to...