Despite exceptional capabilities in knowledge-intensive tasks, Large Language Models (LLMs) face a critical gap in understanding how they internalize new knowledge, particularly how to structurally ...
Biological processes that govern our lives are many, intertwined, and often difficult to understand. They involve countless ...
A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category ...
The Apple supplier subject to a major cyberattack last month was China's Luxshare, it has now emerged. More than 1TB of ...
We recently drove the BMW iX3L Long Wheelbase prototype in Chengdu, China. Here’s what happens when BMW rethinks EV driving ...
Power systems today operate in an environment where reliability and safety must be maintained despite rising loads, expanding ...
Data-Driven Optimal Output Feedback Control of Unknown System Model via Adaptive Dynamic Programming
Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...
Abstract: This study focuses on the model reference adaptive tracking control problem for uncertain switched systems using a dynamic event-triggered approach. Compared with the existing studies, the ...
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