This paper describes the main issues encountered when applying model predictive control
to hybrid processes. Hybrid model predictive control (HMPC) is a research field non-fully …

This is a detailed review on olefin polymerization models, and the most recent process
control approaches used to control these nonlinear systems are presented. Great focus has …

It is practical that industrial processes are regarded as hybrid systems involving both
continuous and discrete variables. Particularly, process discrete variables are usually rather …

In this article, a hybrid predictive control (HPC) strategy is formulated for the real-time
optimisation of a public transport system operation run using buses. For this problem, the …

In this paper, model predictive control (MPC) of discrete TS fuzzy systems subjected to
bounded time-varying delay and persistent disturbances is investigated. The Razumikhin …

Model predictive control (MPC) is one of the main process control techniques explored in the
recent past; it is the amalgamation of different technologies used to predict future control …

This paper deals with the problem of fuzzy nonlinear model identification in the framework of
a local model network (LMN). A new iterative identification approach is proposed, where …

In this paper we describe the design of hybrid fuzzy predictive control based on a genetic
algorithm (GA). We also present a simulation test of the proposed algorithm and a …

This paper aimed to develop a real-time monitoring and Fuzzy-based control system for non-
Newtonian fluids properties as apparent viscosity. Fuzzy logic was chosen as the control …

This paper presents a methodology based on generic evolutionary algorithms to solve a
dynamic pickup and delivery problem formulated under a hybrid predictive control approach …