Paper Info
Title
Finite-Time Synchronization for Switched Neural Networks via Quantized Feedback Control
Abstract
This paper is concerned with the problem of finite-time <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> synchronization for a class of discrete-time switched neural networks with quantized feedback controllers. First, we take advantage of mode-dependent average dwell time approach and semi-time-dependent (STD) Lyapunov function method to establish new criteria for the finite-time synchronization. Based on the newly developed criteria, a finite-time bounded real lemma is presented and further, the quantized state feedback controller is designed to ensure the finite-time <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> synchronization of the underlying neural networks. The conservatism is further reduced by the proposed mode-dependent and STD controller. Finally, we use two illustrative examples to show the effectiveness and superiority of the results obtained in this paper.
Year
DOI
Venue
2021
10.1109/TSMC.2019.2917497
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Keywords
DocType
Volume
Delayed neural networks,finite-time H∞ synchronization,quantized feedback control,switched systems
Journal
51
Issue
ISSN
Citations 
5
2168-2216
1
PageRank 
References 
Authors
0.35
0
4
Name
Order
Citations
PageRank
Chaoxu Guan1283.10
Zhongyang Fei232026.05
H. R. Karimi33569223.59
Peng Shi415816704.36