Discovery Projects - Grant ID: DP220102159

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP220102159

Funding Status
Active

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Funded Activity Summary

Estimation and Control of Noisy Riemannian Systems. Many application areas such as satellite control, computer vision, coordination of rigid bodies, require the estimation and control of systems subject to geometric constraints. Most current algorithms for doing this are deterministic and can fail catastrophically in the presence of noise. This project aims to provide: (i) Methods for analysing and then redesigning deterministic algorithms to ensure stability in the presence of noise; (ii) New design methods that deal with noise in an optimal way; (iii) Noise resistant methods for distributed consensus seeking systems and cooperative control systems. The outcomes will advance and benefit spatio-temporal data analysis and coordination in areas such as transport, health and video-security.

Funded Activity Details

Start Date: 01-04-2022

End Date: 31-03-2025

Funding Scheme: Discovery Projects

Funding Amount: $480,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Electrical and Electronic Engineering | Signal Processing | Stochastic Analysis and Modelling | Control Systems, Robotics and Automation

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in Engineering | Expanding Knowledge in the Mathematical Sciences |

Other Keywords

Control Systems, Robotics and Automation | Electrical and Electronic Engineering | Expanding Knowledge in Engineering | Expanding Knowledge in the Mathematical Sciences | Signal Processing | Stochastic Analysis and Modelling

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