This study investigates the problem of fuzzy predictive control of non-linear systems with
imperfect communication links. Packet loss (which appears typically in a network …

A multiple model predictive control (MMPC) strategy is proposed for coagulation control in
water treatment plants. The proposed control strategy is developed to work effectively with …

This work deals with the problem of controlling the outlet temperature of a tubular heat
exchanger system by means of flow pressure. The usual industrial case is to try to control the …

In this paper, a novel generalized predictive control (GPC) strategy using multiple models
approach has been presented. The proposed strategy is realized based on the Takagi …

The purpose of the present research is to demonstrate a comparative study on applications
of artificial intelligence-based multiple models predictive control schemes, which are …

The objective of this paper is to develop a Model Predictive Control (MPC) for a Shell and
Tube Heat Exchanger. Since the heat exchanger is a highly non linear system, the operating …

A multiple model predictive control (MMPC) scheme based on fuzzy weighting is proposed
to control the coagulation chemical dosing unit for water treatment plants. The system is …

The purpose of the paper presented here is to control the fluid temperature that flows in the
inner tube of a tubular heat exchanger system by means of the fluid flow pressure. This …

In this paper, a new strategy for control of a tubular heat exchanger system using multiple
models approach has been presented. The proposed control strategy is realized using …

This paper describes a novel artificial intelligence based predictive control scheme for the
purpose of dealing with so many complicated systems. In the control scheme proposed here …