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https://hdl.handle.net/2440/83499
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Type: | Journal article |
Title: | Observer design for switched recurrent neural networks: an average dwell time approach |
Author: | Lian, J. Feng, Z. Shi, P. |
Citation: | IEEE Transactions on Neural Networks and Learning Systems, 2011; 22(10):1547-1556 |
Publisher: | IEEE-Inst Electrical Electronics Engineers Inc |
Issue Date: | 2011 |
ISSN: | 1045-9227 1941-0093 |
Statement of Responsibility: | Jie Lian, Zhi Feng, and Peng Shi |
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. |
Keywords: | Average dwell time method exponential stability observer design switched neural networks time-varying delay |
Rights: | © 2011 IEEE |
DOI: | 10.1109/TNN.2011.2162111 |
Published version: | http://dx.doi.org/10.1109/tnn.2011.2162111 |
Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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