This paper presents a path-following and collision avoidance system for autonomous
surface vehicles based on nonlinear model predictive control. The proposed strategy is …

At present, the disturbances like the voltage fluctuations, resulting from the grid's
complexities and unbalanced load conditions, create severe power quality concerns like …

It is widely recognized that a hands-on laboratory experience is useful in control engineering
education. Herein, the students overcome the main gaps between theoretical knowledge …

As a kind of effective tool in solving complex optimization problems, intelligent optimization
algorithms are paid more attention to their advantages of being easy to implement and their …

This manuscript proposes a path-following and collision avoidance guidance and control
system for an autonomous surface vehicle operating in cluttered environments under …

A proportional, integral, and derivative‐model predictive controller (PID‐MPC) is
implemented to enhance the performance of a chiller‐fan coil unit with regards to …

Embedded controllers for multivariable processes have become a powerful tool in industrial
implementations. Here, the Model Predictive Control offers higher performances than …

This paper presents a path following control scheme for an autonomous surface vehicle
under uncertainties and external disturbances. A guidance scheme based on nonlinear …

To improve the dynamic response of the inverter, the conventional proportional–integral
controller and the modulation part are substituted by the finite-control step model predictive …

Lateral motion control is an important technology for the unmanned wide body truck of open
pit coal mine to realize the accurate tracking of driving trajectory in the unmanned state …