Abstract: This letter proposes a robust tube-based model predictive control approach for spacecraft rendezvous subject to sector-bounded nonlinearities and bounded disturbances. Unlike existing ...
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This project presents a machine learning-based predictive model developed in MATLAB to forecast hospital resource requirements using historical healthcare data. The system helps in predicting future ...
MATLAB, Simulink and Python implementation of Active Disturbance Rejection Control with Extended State Observer, Tracking Differentiator, input delay compensation, and control saturation.
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 ...
(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...
ABSTRACT: Background: Artificial intelligence (AI) technologies, including machine learning, natural language processing, and decision-support systems, are increasingly explored in primary care to ...
Abstract: Model predictive control of permanent magnet machines is still attracting attention due to the need of simultaneously addressing computational burden, robustness to parameter variance and ...
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