Further results on asymptotic and finite-time stability analysis of fractional-order time-delayed genetic regulatory networks

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Abstract

This research work aims at investigating the fractional-order genetic regulatory networks (FOGRNs) with feedback regulation delays. First, we have established the existence and uniqueness of considered systems based on the Banach fixed point theorem. Second, based on a Lyapunov method and fractional-order Razumikhin theorem, some novel sufficient criteria are obtained to ensure the global asymptotic stability for addressing fractional-order systems. To this end, a suitable controller that includes discontinuous terms is designed to guarantee the system states tends to zero asymptotically in a finite time when the system states do not admit stable performance. Moreover, the upper bound of the settling-time for finite-time stability is also estimated accurately. Finally, two numerical examples are presented to verify the correctness of the obtained stability results.

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Pratap, A., Raja, R., Agarwal, R. P., Alzabut, J., Niezabitowski, M., & Hincal, E. (2022). Further results on asymptotic and finite-time stability analysis of fractional-order time-delayed genetic regulatory networks. Neurocomputing, 475, 26–37. https://doi.org/10.1016/j.neucom.2021.11.088

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