Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India

Research Article

Impulsive Control Approach to Stabilization of Delayed Inertial Neural Networks

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  • @INPROCEEDINGS{10.4108/eai.7-12-2021.2315115,
        author={Krishnasamy  R},
        title={Impulsive Control Approach to Stabilization of Delayed Inertial Neural Networks},
        proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India},
        publisher={EAI},
        proceedings_a={ICCAP},
        year={2021},
        month={12},
        keywords={inertial neural networks impulses lyapunov-krasovskii functional stabilization},
        doi={10.4108/eai.7-12-2021.2315115}
    }
    
  • Krishnasamy R
    Year: 2021
    Impulsive Control Approach to Stabilization of Delayed Inertial Neural Networks
    ICCAP
    EAI
    DOI: 10.4108/eai.7-12-2021.2315115
Krishnasamy R1,*
  • 1: PSG College of Technology
*Contact email: rksamy123@gmail.com

Abstract

Stabilization of delayed inertial neural networks based on impulsesl is investigated in this paper. Delay-dependent sufficient conditions of stabilization results are obtained as linear matrix inequalities via Lyapunov stability theory which involves the construction of Lyapunov-Krasovskii functional. Information of time-delay is taken into account to obtain these results. Here, time-delay is considered to be time-varying and the activation function is assumed to be sector bounded. Derived conditions can be validated via MATLAB. Finally, an example is provided to support the derived results.