Robust exponential synchronization results for uncertain infinite time varying distributed delayed neural networks with flexible delayed impulsive control

K. Pooja Lakshmi and T. Senthilkumar

Mathematics and Computers in Simulation (MATCOM), 2023, vol. 209, issue C, 267-281

Abstract: This paper discusses the synchronization results like robust exponential synchronization (RES) and exponential synchronization (ES) of uncertain infinite time-varying flexible delayed impulsive neural networks with and without distributed delay. First, we introduced a new lemma based on fundamental solution matrix for solving nonlinear neural networks by utilizing average impulsive interval (AII) and average impulsive delay (AID). Further, we examined some novel RES and ES results for proposed neural networks via the method of variation of constants. Finally, numerical examples are given to validate the proposed results, and the effectiveness of flexible delayed impulsive control is demonstrated using graphical representations.

Keywords: Robust exponential synchronization; Flexible delayed impulsive control; Average impulsive interval; Uncertainty; Delayed neural networks (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:209:y:2023:i:c:p:267-281

DOI: 10.1016/j.matcom.2023.02.009

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