Research Article
Impulsive Control Approach to Stabilization of Delayed Inertial Neural Networks
@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
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.
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