Power-Rate Synchronization of Fractional-Order Nonautonomous Neural Networks with Heterogeneous Proportional Delays

Power-Rate Synchronization of Fractional-Order Nonautonomous Neural Networks with Heterogeneous Proportional Delays

This paper is concerned with the problem of global power-rate synchronization of fractional-order nonautonomous neural networks with heterogeneous proportional delays. By utilizing the Leibniz rule for fractional differentiation and an extended comparison technique, delay-dependent conditions are de...

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Veröffentlicht in:Neural processing letters 2018-02, Vol.47 (1), p.139-151
Hauptverfasser: Kinh, C. T., Hien, L. V., Ke, T. D.
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Sprache:eng
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Artificial Intelligence
Calculus
Complex Systems
Computational Intelligence
Computer Science
Mathematical functions
Mathematical models
Neural networks
Synchronism
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Ke, T. D.
description This paper is concerned with the problem of global power-rate synchronization of fractional-order nonautonomous neural networks with heterogeneous proportional delays. By utilizing the Leibniz rule for fractional differentiation and an extended comparison technique, delay-dependent conditions are derived to ensure that the considered fractional-order neural network model is globally synchronous with a power decaying rate. Two examples with numerical simulations are given to demonstrate the effectiveness of the obtained results.
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subjects Artificial Intelligence
Calculus
Complex Systems
Computational Intelligence
Computer Science
Mathematical functions
Mathematical models
Neural networks
Synchronism
title Power-Rate Synchronization of Fractional-Order Nonautonomous Neural Networks with Heterogeneous Proportional Delays
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