Improved Modeling and Generalization Capabilities of Graph Neural Networks With Legendre Polynomials
Abstract: LegendreNet is a novel graph neural network (GNNs) model that addresses stability issues present in traditional GNN models such as ChebNet, while also more effectively capturing higher-order ...
Abstract: Recently, necessary conditions of stability for time-delay systems based on the handling of the Lyapunov–Krasovskii functional have been studied in the literature giving rise to a new ...
An open-source library for generating trajectories using two different methods (trapezoidal, polynomial). The library provides access to various classes for working with multi-axis ...
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