Abstract: Deep state space model (DSSM) are a temporal model that is actively researched. It combines deep neural networks with classic state space model (SSM) so that it can be used for prediction ...
Objective: We aimed to develop, validate, and assess NeuroBot, an AI-driven system that uses large language models (LLMs) with retrieval-augmented generation to deliver timely, accurate, and ...
Context engineering is the discipline of managing the language model's context window. Unlike prompt engineering, which focuses on crafting effective instructions, context engineering addresses the ...
Abstract: This study proposes a novel dynamic output-feedback (DOF) switched model predictive control strategy to robustly enhance the control performance of discrete-time Markov jump systems (MJS).
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