TrustRAG is a configurable and modular Retrieval-Augmented Generation (RAG) framework designed to provide reliable input and trusted output, ensuring users can obtain high-quality and trustworthy ...
Abstract: In this article, the locally minimized-variance state estimation problem is investigated for a class of discrete-time nonlinear systems with Lipschitz nonlinearities and binary sensors. The ...