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Neural Processing Letters
Erschienen in: Neural Processing Letters 3/2020

05.02.2020

Finite-Time and Fixed-Time Non-chattering Control for Inertial Neural Networks with Discontinuous Activations and Proportional Delay

verfasst von: Dengguo Xu, Xinsong Yang, Rongqiang Tang

Erschienen in: Neural Processing Letters | Ausgabe 3/2020

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Abstract

Based on the framework of Filippov solutions, this paper considers synchronization of inertial neural networks (INNs) with discontinuous activation functions and proportional delay. By designing several non-chattering controllers, both finite-time and fixed-time synchronization are studied. The designed controllers are simple to be implemented and can overcome the effects of both nonidentical uncertainties of Filippov solutions and the proportional delay without inducing any chattering. By designing new Lyapunov functionals and utilizing 1-norm methods, several sufficient conditions are obtained to ensure that the INNs achieve drive-response synchronization in finite time and fixed time, respectively. Moreover, the settling time is estimated for the two types of synchronization. Simulations are provided to illustrate the effectiveness of theoretical analysis.
Vorheriger Artikel Robust Exponential Stability for Discrete-Time Quaternion-Valued Neural Networks with Time Delays and Parameter Uncertainties
Nächster Artikel Automatic Semantic Segmentation with DeepLab Dilated Learning Network for Change Detection in Remote Sensing Images

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Metadaten
Titel
Finite-Time and Fixed-Time Non-chattering Control for Inertial Neural Networks with Discontinuous Activations and Proportional Delay
verfasst von
Dengguo Xu
Xinsong Yang
Rongqiang Tang
Publikationsdatum
05.02.2020
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 3/2020
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-020-10199-7

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