Prediction interval-based modelling and control of nonlinear processes
| Contribuinte(s) |
Nahavandi Saeid Khosravi, Abbas Creighton Douglas |
|---|---|
| Data(s) |
01/06/2015
|
| Resumo |
Novel computational intelligence-based methods have been investigated to quantify uncertainties prevalent in the operation of chemical plants. A new family of predication interval-based controlling algorithms is proposed and successfully applied to chemical reactors in order to minimise energy consumption and operational cost. |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
Deakin Univeristy, DVC Research Office, Centre for Intelligent Systems Research |
| Relação |
http://dro.deakin.edu.au/eserv/DU:30079549/hosen-agreement-2015.pdf http://dro.deakin.edu.au/eserv/DU:30079549/hosen-predictioninterval-2015A.pdf |
| Direitos |
The Author. All Rights Reserved |
| Palavras-Chave | #chemical plant operations #chemical reactors #minimise energy consumption #minimise operational cost #control technology #computational intelligence-based methods |
| Tipo |
Thesis |
