Please use this identifier to cite or link to this item:
|Web of Science®
|Observer design for switched recurrent neural networks: an average dwell time approach
|IEEE Transactions on Neural Networks and Learning Systems, 2011; 22(10):1547-1556
|IEEE-Inst Electrical Electronics Engineers Inc
|Jie Lian, Zhi Feng, and Peng Shi
|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.
|Average dwell time method
switched neural networks
|© 2011 IEEE
|Appears in Collections:
Electrical and Electronic Engineering publications
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.