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Published in 2025 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.7948
Abstract: In this paper, the authors propose an extended functional‐based approach and develop two new improved functionals to investigate the stability of T‐S fuzzy nonlinear systems with state‐dependent impulsive inputs (TSFSSI). Firstly, the conversion of nonlinear…
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Keywords:
nonlinear systems;
stability;
new improved;
dependent impulsive ... See more keywords
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Published in 2017 at "Annals of Operations Research"
DOI: 10.1007/s10479-016-2192-6
Abstract: In this paper, we address a new model of neural networks related to the impulsive phenomena which is called state-dependent impulsive recurrent neural networks with time-varying and continuously distributed delays. We investigate sufficient conditions on…
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Keywords:
networks time;
neural networks;
impulsive recurrent;
state dependent ... See more keywords
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Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2854826
Abstract: This paper focuses on the problem of the exponential synchronizationlike criteria for state-dependent impulsive dynamical networks (SIDNs). Two types of sufficient conditions, which are applied to ensure every solution intersecting each impulsive surface exactly once,…
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Keywords:
dynamical networks;
dependent impulsive;
state dependent;
impulsive dynamical ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3171576
Abstract: Considered the stimulation of tumor necrosis factor as an impulsive control, an apoptosis network is modeled as a state-dependent impulsive Boolean network (SDIBN). Making cell death normally means driving the trajectory of an apoptosis network…
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Keywords:
reachability;
state dependent;
dependent impulsive;
impulsive boolean ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3220193
Abstract: This article focuses on the intralayer-dependent impulsive synchronization of multiple mismatched multilayer neural networks (NNs) with mode-mixed effects. Initially, a novel multilayer NN model that removes the one-to-one interlayer coupling constraint and introduces nonidentical model…
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Keywords:
mixed effects;
neural networks;
intralayer dependent;
dependent impulsive ... See more keywords