Two of control techniques of the Model Predictive Control (MPC) methodology, which are
Dynamic Matrix Control (DMC) and Generalized Predictive Control (GPC), with IMC-PID are …

This work aims to achieve flooding free control for an industrial ethylene splitter. The tower
operates close to maximum capacity and experiences flooding due to feed disturbances …

There are a variety of optimization methods available to solve a Model Predictive Control
(MPC) problem. Each of them is found to be particularly suited for certain driving tasks, while …

This paper deals with education of graduate and undergraduate students in the field of
classical and advanced controllers. A pilot scale binary distillation column is utilized to serve …

1.1 Background Autonomous driving (AD) has been advancing significantly over the last few
decades. It is impossible not to wonder why it has been a major research interest all around …

This research implements a Model Predictive Current Control scheme to monitor the output
current for a three-phase, two-level VSC. A Finite State-Model Predictive Current Control …

This project aims to develop an Intelligent Controller for a Non-Linear Process. The Conical
tank level Process station is available in the Process Dynamics and Control Laboratory of …

Multi-agent systems are systems consisting of several autonomous robots that usually work
under the assumption that they can communicate by sending and receiving the positions of …

The main priority of electrical utilities is to supply their customers with an uninterrupted
sinusoidal voltage of constant magnitude and frequency with balanced sinusoidal currents …

In this paper, the study of a model predictive control for a permanent magnet synchronous
generator connected with a wind energy system. This paper presents a discrete model of the …