Prediction interval-based modelling and control of nonlinear processes

Hosen, Mohammad Anwar 2015, Prediction interval-based modelling and control of nonlinear processes, PhD thesis, Centre for Intelligent Systems Research, Deakin Univeristy.

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Title Prediction interval-based modelling and control of nonlinear processes
Author Hosen, Mohammad AnwarORCID iD for Hosen, Mohammad Anwar
Institution Deakin Univeristy
School Centre for Intelligent Systems Research
Faculty DVC Research Office
Degree type Research doctorate
Degree name PhD
Thesis advisor Nahavandi SaeidORCID iD for Nahavandi Saeid
Khosravi, AbbasORCID iD for Khosravi, Abbas
Creighton DouglasORCID iD for Creighton Douglas
Date submitted 2015-06
Keyword(s) chemical plant operations
chemical reactors
minimise energy consumption
minimise operational cost
control technology
computational intelligence-based methods
Summary  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.
Language eng
Field of Research 090602 Control Systems, Robotics and Automation
080110 Simulation and Modelling
Socio Economic Objective 970109 Expanding Knowledge in Engineering
Description of original xxxi, 199 pages : illustrations, tables, graphs
Copyright notice ┬ęThe Author. All Rights Reserved
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Document type: Thesis
Collection: Higher degree theses (citation only)
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Created: Fri, 13 Nov 2015, 15:56:09 EST by Kate Percival

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