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https://hdl.handle.net/2440/101079
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Type: | Journal article |
Title: | Receding horizon stabilization and disturbance attenuation for neural networks with time-varying delay |
Author: | Ahn, C. Shi, P. Wu, L. |
Citation: | IEEE Transactions on Cybernetics, 2015; 45(12):2680-2692 |
Publisher: | Institute of Electrical and Electronics Engineers |
Issue Date: | 2015 |
ISSN: | 2168-2267 2168-2275 |
Statement of Responsibility: | Choon Ki Ahn, Peng Shi, and Ligang Wu |
Abstract: | This paper is concerned with the problems of receding horizon stabilization and disturbance attenuation for neural networks with time-varying delay. New delay-dependent conditions on the terminal weighting matrices of a new finite horizon cost functional for receding horizon stabilization are established for neural networks with time-varying or time-invariant delays using single- and double-integral Wirtinger-type inequalities. Based on the results, delay-dependent sufficient conditions for the receding horizon disturbance attenuation are given to guarantee the infinite horizon H∞ performance of neural networks with time-varying or time-invariant delays. Three numerical examples are provided to illustrate the effectiveness of the proposed approach. |
Keywords: | Cost functional; disturbance attenuation; neural network; receding horizon stabilization; time delay |
Rights: | © 2014 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. |
DOI: | 10.1109/TCYB.2014.2381604 |
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.2014.2381604 |
Appears in Collections: | Aurora harvest 3 Electrical and Electronic Engineering publications |
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