“…ese ideas have been extended to the analysis of time-delay systems (TDSs) via LyapunovKrasovskii (L-K) functionals [7] or LyapunovRazumikhin (L-R) functions [8]. In this context, there are several results that provide sufficient stability conditions using LMI-based approaches for different classes of TDS, such as linear timedelay systems [9][10][11][12][13], uncertain linear time-delay systems [14][15][16], neutral linear systems [17][18][19][20], systems with uncertain time-invariant delays [21], descriptor system approach for TDS [22], linear parameter-varying (LPV) timedelay systems [23], systems with time-varying delays [24][25][26][27][28][29], exponential estimates for TDS [30,31], systems with polytopic-type uncertainties [32], singular systems [33], neural networks with time delay [34,35], and genetic regulatory networks with probabilistic time delays [36]. Recently, in [37] convex approaches are employed to provide robust stability conditions based on quasi-polynomials.…”