This paper presents a control method that is effective to reduce the degenerative effects of delay time caused by a treacherous network. In present application a controlled DC motor is part of an inverted pendulum and ...

This paper focuses on performance assessment of industrial controllers. Instead of using process or controller models, it is based on process data collected at regular time intervals. Data analysis includes a set of tests ...

Model-based control strategies rely heavily on precise models to make accurate predictions. In mineral processing, particularly, due to complexities such as strong nonlinearities, variable coupling, time varying parameters, ...

It is well known that predictive control methods can be affected by the presence of modeling errors. The extent to which finite-control-set model predictive control (FCS-MPC) is influenced by parametric uncertainties is a ...

A Direct Torque Control scheme which regulates the flux and the electromagnetictorque of an induction motor (IM) is presented in this paper. A Cascade Asymmetric Multilevel Converter (CAMC) drives the IM in 7-level mode ...

A model predictive controller (MPC) is proposed, which is robustly stable for some classes of model uncertainty and to unknown disturbances. It is considered as the case of open-loop stable systems, where only the inputs ...

There are very few controller design techniques that can be proven to stabilize processes in the presence of nonlinearities and constraints. Model predictive control (MPC) is one of these techniques. For this reason, there ...