The control performance of traditional model predictive control (MPC) usually deteriorates dramatically with the permanent magnet synchronous motor (PMSM) parameter changes in operation, leading to ...

Nonlinear Model-Predictive Control Using Koopman Operator This document explains the implementation of the Koopman Operator in conjunction with Model Predictive Control (MPC) . A nonlinear dynamic ...

Robust model predictive controllers for discrete-time nonlinear systems are proposed in this technical note. The algorithms first search for an open-loop controller with some block length, and then ...

In conclusion, a robust model predictive controller based on Bayesian optimization is an advanced method to optimize the behavior of wind power systems. The sections of this paper are structured as ...

In this work, the advanced control strategy predictive model control was used to design the controller to study the core power control of a fast reactor. The advantage of the MPC controller lies in ...

Abstract Tank level control is ubiquitous in industry. The focus of this paper is on accurate liquid level control in single tank systems which can be actuated continuously and modulation of the level ...