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Published in 2023 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.6705
Abstract: Switching boundary is an integral part of the switched system, but the existing literature on switched systems does not focus on the system under switching boundary mismatch. In this article, the switching boundary mismatch is…
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Keywords:
system;
exponential stability;
stability;
switching boundary ... See more keywords
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Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9756-6
Abstract: This paper investigates robust exponential synchronization for stochastic delayed neural networks with reaction–diffusion terms and Markovian jumping parameters driven by infinite dimensional Wiener processes. The novelty of this paper lives in the use of a…
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Keywords:
synchronization stochastic;
stochastic delayed;
robust exponential;
synchronization ... See more keywords
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Published in 2017 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-015-0441-0
Abstract: This paper is concerned with the problem of the robust exponential passive filter design for uncertain neutral-type neural networks with time-varying mixed delays. Our aim is to design a Luenberger-type filter for estimating information about…
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Keywords:
neutral type;
uncertain neutral;
robust exponential;
type ... See more keywords
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Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2877152
Abstract: This paper addresses the state-dependent impulsive effects on robust exponential stability of quaternion-valued neural networks (QVNNs) with parametric uncertainties. In view of the noncommutativity of quaternion multiplication, we have to separate the concerned quaternion-valued models…
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Keywords:
state dependent;
quaternion;
neural networks;
stability ... See more keywords
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Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.2978542
Abstract: This article investigates the problem of robust exponential stability of fuzzy switched memristive inertial neural networks (FSMINNs) with time-varying delays on mode-dependent destabilizing impulsive control protocol. The memristive model presented here is treated as a…
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Keywords:
time;
neural networks;
mode dependent;
dependent destabilizing ... See more keywords
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Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2019.2911510
Abstract: In this paper, robust exponential synchronization of memristor-based neural networks (MNNs) with nonidentical characteristics is investigated. Coefficient mismatch, time-varying delay mismatch, and activation function mismatch are considered between the drive and the response MNNs. Pinning…
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Keywords:
synchronization memristor;
neural networks;
nonidentical characteristics;
synchronization ... See more keywords
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Published in 2017 at "Advances in Difference Equations"
DOI: 10.1186/s13662-016-1059-0
Abstract: By formulating a new contraction mapping on a product space, the authors originally employed Banach fixed point theorem to derive the LMI-based robust exponential stability criterion for impulsive BAM neural networks with distributed delays and…
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Keywords:
contraction mapping;
criterion;
based robust;
lmi based ... See more keywords