Release Time:2019-03-09  Hits:

Indexed by: Journal Article

Date of Publication: 2011-10-01

Journal: IEEE TRANSACTIONS ON NEURAL NETWORKS

Included Journals: PubMed、EI、SCIE、Scopus

Volume: 22

Issue: 10

Page Number: 1547-1556

ISSN: 1045-9227

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

Abstract: 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.