Fundamentally this thesis provides a study into dynamic modelling of a pilot-scale falling-film evaporator. Its main aim, however, is to research and demonstrate artificial neural network (ANN) modelling for model predictive control as applied to an evaporator system. As a prerequisite to testing an advanced control strategy such as model predictive control one must have available a suitable dynamic simulation of the process. To this end the thesis initially presents the formulation of a dynamic model of the evaporator system developed from first-principles. A novel approach to developing a dynamic ANN representation of a process is presented and applied to the evaporator. This approach incorporates prior knowledge of the system into the ne...
In this paper, a neural network based predictive controller is designed to govern the dynamics of a ...
This work presents a discussion on pressure drop of R-407C during two-phase flows, and the applicati...
Artificial Neural Networks (ANNs) have become a popular tool for identification and control of nonli...
The use of multistage evaporators, motivated by the energy economy from reusing the flashed steam is...
This thesis reports the development of a Model Predictive Control system for a Ultra High Temperatur...
[[abstract]]©2003 Springer - Practical implementations of two typical types of artificial neural net...
Abstract- In this paper, a neural network based predictive controller is designed to govern the dyna...
AbstractIn this work, artificial neural networks (ANNs) are used to characterize the convective heat...
This paper investigates the possible use of artificial neural networks (ANN), more precisely multi-l...
An Artificial Neural Network based modeling technique has been used to study the influence of differ...
This research work, devoted to the synthesis of a neural network model based predictive command of a...
This paper describes the design of an advanced control algorithm for the cooling system of a large b...
This article investigates the design of linear and nonlinear model predictive controllers (MPCs) in ...
The objective of this work is the characterisation of a model to describe the dynamics of a climbing...
The model-based predictive control (MPC) is considered to be an effective tool for optimal control o...
In this paper, a neural network based predictive controller is designed to govern the dynamics of a ...
This work presents a discussion on pressure drop of R-407C during two-phase flows, and the applicati...
Artificial Neural Networks (ANNs) have become a popular tool for identification and control of nonli...
The use of multistage evaporators, motivated by the energy economy from reusing the flashed steam is...
This thesis reports the development of a Model Predictive Control system for a Ultra High Temperatur...
[[abstract]]©2003 Springer - Practical implementations of two typical types of artificial neural net...
Abstract- In this paper, a neural network based predictive controller is designed to govern the dyna...
AbstractIn this work, artificial neural networks (ANNs) are used to characterize the convective heat...
This paper investigates the possible use of artificial neural networks (ANN), more precisely multi-l...
An Artificial Neural Network based modeling technique has been used to study the influence of differ...
This research work, devoted to the synthesis of a neural network model based predictive command of a...
This paper describes the design of an advanced control algorithm for the cooling system of a large b...
This article investigates the design of linear and nonlinear model predictive controllers (MPCs) in ...
The objective of this work is the characterisation of a model to describe the dynamics of a climbing...
The model-based predictive control (MPC) is considered to be an effective tool for optimal control o...
In this paper, a neural network based predictive controller is designed to govern the dynamics of a ...
This work presents a discussion on pressure drop of R-407C during two-phase flows, and the applicati...
Artificial Neural Networks (ANNs) have become a popular tool for identification and control of nonli...