IEEE

LMI-Based Design of a Robust Model Predictive Controller for a Class of Recurrent Neural Networks With Guaranteed Properties

Abstract: This letter proposes a novel robust nonlinear model predictive control (NMPC) algorithm for systems described by a generic class of recurrent neural networks. The algorithm enables tracking ...
IEEE

Minimizing Adversarial Training Samples for Robust Image Classifiers: Analysis and Adversarial Example Generator Design

Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...