Discovery Projects - Grant ID: DP240100300

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP240100300

Funding Status
Active

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Funded Activity Summary

Big Data-based Distributed Control using a Behavioural Systems Framework. 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.

Funded Activity Details

Start Date: 01-01-2024

End Date: 31-12-2026

Funding Scheme: Discovery Projects

Funding Amount: $431,627.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Chemical engineering | Process control and simulation | Control engineering |

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Chemical engineering | Control engineering | Expanding Knowledge In Engineering | Industrial Chemicals and Related Products Not Elsewhere Classified | Primary Mining and Extraction of Minerals Not Elsewhere Classified | Process control and simulation

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