This paper deals with the model predictive control (MPC) of an industrial hybrid process
where continuous and batch units operate jointly: the crystallization section of a sugar …

This paper deals with the MPC control of an industrial hybrid process where continuous and
batch units operate jointly: the crystallization section of a sugar factory. The paper describes …

This paper deals with the overall operation of a chemical process where continuous and
batch units operate jointly. The paper describes a plantwide model predictive controller …

The performance of a Model Predictive Control (MPC) algorithm depends on the quality of
the derived model. Using a divide-and-conquer strategy process operations were partitioned …

The industrial processes are governed generally by general principles of the physics and
chemistry. With the aid of data acquisition systems supported in microprocessor it is possible …

The paper presents a model predictive control (MPC) algorithm for continuous-time, possibly
non-square nonlinear systems. The algorithm guarantees the tracking of asymptotically …

Model predictive control (MPC) has been used successfully in industry. The basic
characteristic of these algorithms is the formulation of an optimization problem in order to …

The dynamics of biotechnological processes are highly complex and usually unknown.
These processes are described by a set of non linear and non stationary equations derived …

Model predictive control (MPC) is an online application based on dynamic models. Its
application faces two major obstacles:(i) computational constraints and (ii) the need to …

This paper describes the application of a predictive controller that deals with measurable
disturbances in the extraction process in an olive oil mill. The work focuses on the thermal …