Fixed-time stabilization of fuzzy neutral-type inertial neural networks with proportional delays

Abstract

The issue of fixed-time stabilization (FTS) for a class of fuzzy neutral-type inertial neural networks (FNTINNs) with proportional delays (PDs) is discussed in this research. Two feedback controllers were constructed utilizing the fixed-time stability theorem. Two criteria for figuring out the FTS of FNTINNs with PDs were acquired by building suitable Lyapunov functions (LFs). The theoretical conclusions offered could potentially contribute to a more precise calculation of the upper settling-time (ST) when compared to previously conducted research. Two simulation examples are provided to demonstrate the applicability of the stated theoretical conclusions.