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Set-membership filtering for complex networks with constraint communication channels

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The set-membership filtering is studied for a class of multi-rate sampling complex networks with communication capacity constraint. For reducing communication load, the weighted try-once-discard scheduling protocol is utilized to transmit the most needed measurement. To improve the filtering performance, a novel mixed compensation method is proposed to obtain a compensatory measurement that is closer to the actual value. Accordingly, a mixed compensation dependent filter is designed, and a filtering error system is obtained. Sufficient conditions are established to ensure that the filtering error system satisfies PTk-dependent constraint. Then, a new algorithm is designed to obtain the optimized ellipsoid by minimizing the constraint matrix. Finally, an illustrative example is given to demonstrate the validity of the developed filter. (C) 2022 Elsevier Ltd. All rights reserved.

Set-membership filteringMulti-rate sampling complex networksWeighted try-once-discard protocolMixed compensationFINITE-TIME SYNCHRONIZATIONARTIFICIAL NEURAL-NETWORKSINFINITY STATE ESTIMATIONFRACTIONAL-ORDERSYSTEMS

Liu, Chang、Yang, Lixin、Tao, Jie、Xu, Yong、Huang, Tingwen

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Sch Automat,Guangdong Univ Technol

Dept Sci Program,Texas A&M Univ Qatar

2022

Neural Networks

Neural Networks

EISCI
ISSN:0893-6080
年,卷(期):2022.152
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