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Grant Award View - GA141046
A System Behavioral Approach to Big Data-driven Nonlinear Process...
GA ID:
GA141046
Agency:
Australian Research Council
Approval Date:
2-Dec-2020
Publish Date:
8-Dec-2020
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Jan-2021 to 31-Dec-2023
Value (AUD):
$449,440.00
(GST inclusive where applicable)
Variations:
- GA141046-V2 - Variation to Grant (20-Oct-2021 )
- GA141046-V1 - Variation to Grant (2-Aug-2021 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 20/21 Discovery
Grant Program:
Discovery Projects
Grant Activity:
A System Behavioral Approach to Big Data-driven Nonlinear Process Control
Purpose:
This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, integrated with machine learning techniques, this project expects to develop a novel framework for data-driven control using big process data. The outcomes are expected to benefit the Australian process industry, where many processes are controlled by inadequate logic controllers, by improving their operational efficiency.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2021
Internal Reference ID:
DP21 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of New South Wales
Recipient ABN:
57 195 873 179
Grant Recipient Location
Suburb:
KENSINGTON
Town/City:
KENSINGTON
Postcode:
2033
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2033
Country:
AUSTRALIA