GitHub

CADET-Equations is a Python tool designed to generate modeling equations for packed-bed chromatography.

It provides a simple user interface that allows users to configure the model, and outputs the corresponding mathematical equations in LaTeX format.
IEEE

Adaptive Gradient Neural Networks for Solving the Time-Varying Sylvester Equation

Abstract: This paper develops several new dynamical designs, based on the gradient neural network (GNN), from the perspective of control theory to solve the time-varying Sylvester equation (TVSE). We ...
IEEE

An Accelerated Approach on Adaptive Gradient Neural Network for Solving Time-Dependent Linear Equations: A State-Triggered Perspective

Abstract: To improve the acceleration performance, a hybrid state-triggered discretization (HSTD) is proposed for the adaptive gradient neural network (AGNN) for solving time-dependent linear ...