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https://hdl.handle.net/2440/100975
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Type: | Journal article |
Title: | Resilient asynchronous H∞ filtering for Markov jump neural networks with unideal measurements and multiplicative noises |
Other Titles: | Resilient asynchronous H-infinity filtering for Markov jump neural networks with unideal measurements and multiplicative noises |
Author: | Zhang, L. Zhu, Y. Shi, P. Zhao, Y. |
Citation: | IEEE Transactions on Cybernetics, 2015; 45(12):2840-2852 |
Publisher: | Institute of Electrical and Electronics Engineers |
Issue Date: | 2015 |
ISSN: | 2168-2267 2168-2275 |
Statement of Responsibility: | Lixian Zhang, Yanzheng Zhu, Peng Shi and Yuxin Zhao |
Abstract: | This paper is concerned with the resilient H∞ filtering problem for a class of discrete-time Markov jump neural networks (NNs) with time-varying delays, unideal measurements, and multiplicative noises. The transitions of NNs modes and desired mode-dependent filters are considered to be asynchronous, and a nonhomogeneous mode transition matrix of filters is used to model the asynchronous jumps to different degrees that are also mode-dependent. The unknown time-varying delays are also supposed to be mode-dependent with lower and upper bounds known a priori. The unideal measurements model includes the phenomena of randomly occurring quantization and missing measurements in a unified form. The desired resilient filters are designed such that the filtering error system is stochastically stable with a guaranteed H∞ performance index. A monotonicity is disclosed in filtering performance index as the degree of asynchronous jumps changes. A numerical example is provided to demonstrate the potential and validity of the theoretical results. |
Keywords: | time-varying delays; Asynchronous jumps; missing measurements; multiplicative noises; quantization; resilient filter |
Rights: | © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. |
DOI: | 10.1109/TCYB.2014.2387203 |
Grant ID: | http://purl.org/au-research/grants/arc/DP140102180 http://purl.org/au-research/grants/arc/LP140100471 |
Published version: | http://dx.doi.org/10.1109/tcyb.2014.2387203 |
Appears in Collections: | Aurora harvest 3 Electrical and Electronic Engineering publications |
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