Model Predictive Control (MPC) has emerged as a pivotal strategy for optimising the performance of power electronic converters and motor drive systems. By utilising an explicit model of the controlled ...
Tech Xplore on MSN
Physics-based algorithm enables nuclear microreactors to autonomously adjust power output
A new physics-based algorithm clears a path toward nuclear microreactors that can autonomously adjust power output based on ...
Model Predictive Control (MPC) has emerged as a versatile and robust strategy in modern control engineering, enabling controllers to predict future system behaviour and optimise performance over a ...
Model Predictive Control (MPC) is a modern feedback law that generates the control signal by solving an optimal control problem at each sampling time. This approach is capable of maximizing a certain ...
This article presents the development of coordinated control of throttle, spark advance, and variable valve timing (VVT) in a model predictive control (MPC) framework for engine idle speed control ...
he Rockwell Automation Pavilion8 Model Predictive Control application helps manufacturers achieve precision in a dynamic market, reducing product variability, while increasing yield and lowering ...
SPECIAL ISSUE NO. 103. Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering (SUMMER 2020), pp. 830-834 (5 pages) Published By: Coastal Education & Research Foundation, ...
Jared Ecker is a researcher and fact-checker. He possesses over a decade of experience in the Nuclear and National Defense sectors resolving issues on platforms as varied as stealth bombers to UAVs.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback