Finite-time passivity of neutral-type complex-valued neural networks with time-varying delays
| dc.contributor.author | Akca, Haydar | |
| dc.contributor.author | Aouiti, Chaouki | |
| dc.contributor.author | Touati, Farid | |
| dc.contributor.author | ETAL.. | |
| dc.date.accessioned | 2024-08-15T08:13:07Z | |
| dc.date.available | 2024-08-15T08:13:07Z | |
| dc.date.issued | 2024-05-28 | |
| dc.description | Hopfield neural network (HNN) is in the powerful class of artificial neural networks (ANNs), which has been introduced in the literature by John Hopfield in 1982. Since then, its investigation has become a worldwide focus [1–5]. All of those models are real-valued neural networks (NNs). | |
| dc.description.abstract | In this work, we investigated the finite-time passivity problem of neutral-type complexvalued neural networks with time-varying delays. On the basis of the Lyapunov functional, Wirtingertype inequality technique, and linear matrix inequalities (LMIs) approach, new sufficient conditions were derived to ensure the finite-time boundedness (FTB) and finite-time passivity (FTP) of the concerned network model. At last, two numerical examples with simulations were presented to demonstrate the validity of our criteria. Keywords: Complex-Valued Neural Networks, Finite-Time Boundedness, Finite-Time Passivity, Neutral-Type Delayes, Time-Varying Delays | |
| dc.identifier.citation | Akca, H., Aouiti, C., Touati, F., & Xu, C. (2024). Finite-time passivity of neutral-type complex-valued neural networks with time-varying delays. Mathematical Biosciences and Engineering, 21(5), 6097-6122. | |
| dc.identifier.doi | https://doi.org/10.3934/mbe.2024268 | |
| dc.identifier.uri | https://repository.adu.ac.ae/handle/1/6189 | |
| dc.language.iso | en | |
| dc.publisher | American Institute of Mathematical Sciences | |
| dc.title | Finite-time passivity of neutral-type complex-valued neural networks with time-varying delays | |
| dc.type | Article |