点击次数：

论文类型：期刊论文

发表时间：2011-10-01

发表刊物：IEEE TRANSACTIONS ON NEURAL NETWORKS

收录刊物：Scopus、SCIE、EI、PubMed

卷号：22

期号：10

页面范围：1547-1556

ISSN号：1045-9227

关键字：Average dwell time method; exponential stability; observer design; switched neural networks; time-varying delay

摘要：This paper is concerned with the problem of observer design for switched recurrent neural networks with time-varying delay. The attention is focused on designing the full-order observers that guarantee the global exponential stability of the error dynamic system. Based on the average dwell time approach and the free-weighting matrix technique, delay-dependent sufficient conditions are developed for the solvability of such problem and formulated as linear matrix inequalities. The error-state decay estimate is also given. Then, the stability analysis problem for the switched recurrent neural networks can be covered as a special case of our results. Finally, four illustrative examples are provided to demonstrate the effectiveness and the superiority of the proposed methods.