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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.11.033
Abstract: The attention of this paper is mainly concentrated on the H ∞ state estimator's design problem for a kind of discrete-time memristive neural networks (MNNs) with multiple fading measurements. The phenomenon of multiple fading measurements…
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Keywords:
neural networks;
memristive neural;
multiple fading;
state estimation ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.03.104
Abstract: Abstract This paper is concerned with the dynamic state estimation problem for islanded microgrids subject to fading measurements. An explicit model of the islanded microgrid with fading measurements is proposed. The fading phenomenon of measurements…
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Keywords:
state;
islanded microgrids;
dynamic state;
state estimation ... See more keywords
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Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3156848
Abstract: In this article, the distributed fusion estimation issue with the dimensionality reduction strategy under DoS attacks and deception attacks is investigated for a class of stochastic uncertain systems with fading measurements. The stochastic uncertainties existed…
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Keywords:
fusion estimation;
fusion;
fading measurements;
dimensionality reduction ... See more keywords
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Published in 2023 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3231712
Abstract: The paper investigates the resilient coordinated model free adaptive control (MFAC) problem of multiple high-speed trains (MHSTs) subject to fading measurements and denial-of-service (DoS) attacks, which belongs to a data-driven approach. Firstly, the dynamic model…
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Keywords:
high speed;
speed trains;
data driven;
fading measurements ... See more keywords