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Grant Award View - GA350970
Big Data-based Distributed Control using a Behavioural Systems Framework
GA ID:
GA350970
Agency:
Australian Research Council
Approval Date:
12-Dec-2023
Publish Date:
20-Dec-2023
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Jan-2024 to 31-Dec-2026
Value (AUD):
$431,627.00
(GST inclusive where applicable)
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 23/24 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Big Data-based Distributed Control using a Behavioural Systems Framework
Purpose:
With Industry 4.0 turning into reality, industrial processes are becoming distributed cyber-physical systems which generate, process, store and communicate large amounts of data. Using the behavioural systems framework, this project aims to develop a novel distributed control approach for complex processes directly based on big process data. A new model-free framework will be developed to represent and analyse the process/controller networks and interaction effects, and determine the feasibility of desired control performance under distributed control. Novel big data-based distributed control design approaches will be developed by extending the dissipativity, contraction and differential dissipativity conditions for behavioural systems.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2024
Internal Reference ID:
DP24 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