Abstract: Conventional path tracking controllers strictly follow preplanned trajectories, which can become impractical or even infeasible under unexpected low-adhesion conditions. This often results ...
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
Association between Modified Cardiometabolic Index and Incident Cardiovascular Disease in Middle-Aged and Elderly Chinese ...
While Gemini 3 is still making waves, Google's not taking the foot off the gas in terms of releasing new models. Yesterday, the company released FunctionGemma, a specialized 270-million parameter AI ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
The global energy sector is undergoing a transformation, with the electric grid expanding to accommodate an increasing number of assets, including solar arrays, wind farms, batteries, electric ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...
src/ ├─ px4ctrl/ # ESO-NMPC controller core ├─ sim_rc/ # Remote control simulator │ └─ sim_rc_node # Gazebo RC simulation node ├─ utils/ # Dependency packages │ ├─ cmake_utils/ # CMake configuration ...
This work extends our prior work on the distributed nonlinear model predictive control (NMPC) for navigating a robot fleet following a certain flocking behavior in unknown obstructed environments with ...
Learn about the Black-Scholes model, how it works, and how its formula helps estimate fair option prices by weighing ...
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