Discovery Projects - Grant ID: DP210101978

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP210101978

Funding Status
Active

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Funded Activity Summary

A System Behavioral Approach to Big Data-driven Nonlinear Process Control. 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.

Funded Activity Details

Start Date: 01-01-2021

End Date: 31-12-2023

Funding Scheme: Discovery Projects

Funding Amount: $449,440.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Chemical Engineering | Process Control and Simulation | Control Systems, Robotics and Automation

ANZSRC Socio-Economic Objective (SEO)

Industrial Chemicals and Related Products not elsewhere classified | Expanding Knowledge in Engineering | Manufacturing not elsewhere classified |

Other Keywords

Chemical Engineering | Control Systems, Robotics and Automation | Expanding Knowledge in Engineering | Industrial Chemicals and Related Products not elsewhere classified | Manufacturing not elsewhere classified | Process Control and Simulation

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