This paper aims to improve the performance of boiler by applying cascade model predictive
control to multiple control loops including water level, drum pressure and stream …

As China quickly urbanizes, urban domestic water generally presents the circumstances of
both rising tendency and seasonal cycle fluctuation. A robust economic control decision …

In process control, time delay and disturbance are critical problems that require research
solutions. Time delays can cause the process sluggish and sometimes instability. Moreover …

One of the most important open issues in industrial automation is a nonlinear dynamical
system identification. In the following paper, the grey and black box approaches are …

This paper describes the design of unconstrained model predictive controller (MPC) and the
corresponding simulation environment. The resulting controller is developed in Java …

In this paper, we lay the foundation for a specialized Intelligent Control System (ICS) for
district heating plants and investigate the problem of integrating particular knowledge into …

In the field of industrial automation, it is essential to develop and improve mathematical
methods that assist in obtaining more accurate models of real-world systems. In the …

Boilers are still used in power plants and other industries for various purposes. Controlling
and monitoring of crtical parameters of a boiler are very important. The safety of the process …

In this paper, dynamic matrix control is proposed for the first order inertial system in the
presence of measurable and unmeasurable disturbances. A state estimator is designed …

The rapid development of model-based control strategies, such as Model Predictive Control
(MPC), has risen the need to develop control-oriented models. In this paper, we develop a …