ISA 2012 Automation Week Track: Control Performance Thursday, 27 September, 3:15-4:45 pm, Room 204B R. Russell Rhinehart School of Chemical Engineering, Oklahoma State University Often, nonlinearity ...

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 ...

Abstract: It is well known that in order to track a periodic reference signal or reject a periodic disturbance signal, the dominant frequency components of the reference or the disturbance signal need ...

Abstract: In this paper, we address the problem of reducing the computational burden of Model Predictive Control (MPC) for real-time robotic applications. We propose TransformerMPC, a method that ...

Applying model-predictive methods and a continuous process-control framework to a continuous tablet-manufacturing process. Currently, there is a high level of interest in the pharmaceutical industry ...

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 ...