This experiment utilizes the SEIRD model, an extension of the classical SEIR model, encompassing five state variables: Susceptible (S), Exposed (E), Infected (I), Recovered (R), and Deceased (D). The ...

In this paper, we present a new contribution for the control of wind systems based on DFIG. The MPC predictive control offers better performance in terms of tracking and robustness compared to other ...

In a groundbreaking advancement for motor control, Model-Free Predictive Control (MFPC) technology has emerged as a ...

Model predictive control (MPC) has been deemed as an attractive control method in motor drives by virtue of its simple structure, convenient multi-objective optimization, and satisfactory dynamic ...

Panelists discuss how clinical decision support tools, care pathways, and artificial intelligence can address primary care ...

This project presents a motor control model implemented in MATLAB/SIMULINK. The model's purpose is to accurately determine the motor's position and speed, enabling advanced control over its ...

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This study introduces a Q-learning-based nonlinear model predictive control (QL-NMPC) framework for temperature control in batch reactors. A reinforcement learning agent is trained in simulation to ...