This paper presents a fuzzy model-based predictive hybrid controller (FMPHC) for
polymerization processes based on Takagi− Sugeno models and moving horizon …

In this study, a predictive control system based on type Takagi‐Sugeno fuzzy models was
developed for a polymerization process. Such processes typically have a highly nonlinear …

Processes in industry, such as batch reactors, often demonstrate a hybrid and non-linear
nature. Model predictive control (MPC) is one of the approaches that can be successfully …

In this work, fuzzy-relational models-dynamics matrix control (Fuzzy-DMC) was applied to
the free radical solution polymerization of styrene in a jacketted batch reactor and its …

Control of polymerization reactors is a challenging issue for researchers due to the complex
reaction mechanisms. A lot of reactions occur simultaneously during polymerization. This …

This paper proposes a new approach to predictive control of highly nonlinear processes
based on a fuzzy model of the Takagi-Sugeno form. Standard Model Based Predictive …

The control problem focuses on the temperature control of a batch polymerization reactor.
Achieving good temperature control is difficult because physical and chemical properties of …

Nonlinear model-based predictive control (MBPC) in multi-input multi-output (MIMO) process
control is attractive for industry. However, two main problems need to be considered:(i) …

An adaptive fuzzy model based predictive control (AFMBPC) approach is presented to track
the desired temperature trajectories in an exothermic batch chemical reactor. The AFMBPC …

Abstract Model predictive control (MPC) has become an important area of research and is
also an approach that has been successfully used in many industrial applications. In order to …