Abstract: This paper investigates the error-based eventtriggered model predictive control (ET-MPC) problem for nonlinear discrete-time systems with additive disturbances. A novel event-triggering ...
A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...
Unravelling how neural circuits generate complex behaviours remains one of the most compelling challenges in neuroscience. This endeavor requires tools that ...
Atrial fibrillation (AFib) is a cardiac disorder in which the chambers of the heart beat rapidly and irregularly. It's the ...
Abstract: The following paper examines Data-Enabled Predictive Control (DeePC) for combined temperature and humidity control in a historical museum building. Bypassing classical offline system ...
Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ...
For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...
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