Discovery Projects - Grant ID: DP220100355

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP220100355

Funding Status
Active

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Funded Activity Summary

Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achieve desired dynamic features. This project aims to develop such a data-based approach by controlling latent variable dynamics, using the behavioural systems framework integrated with big data analytics and artificial neural networks. The outcomes are expected to help build a cornerstone for future smart manufacturing.

Funded Activity Details

Start Date: 01-01-2022

End Date: 31-12-2024

Funding Scheme: Discovery Projects

Funding Amount: $405,000.00

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 | Primary Mining and Extraction of Mineral Resources not elsewhere classified |

Other Keywords

Chemical Engineering | Control Systems, Robotics and Automation | Expanding Knowledge in Engineering | Industrial Chemicals and Related Products not elsewhere classified | Primary Mining and Extraction of Mineral Resources not elsewhere classified | Process Control and Simulation

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