ARC Future Fellowships - Grant ID: FT140100527

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT140100527

Funding Status
Closed

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Funded Activity Summary

Nonstochastic information flows in networked dynamical systems. Feedback control is a crucial element of manufacturing, vehicular and energy systems, and is needed to guarantee hard performance bounds in safety- and mission-critical environments. When these control systems are implemented over communication networks, the amount of information flowing through them becomes a critical determinant of performance. However, the nonprobabilistic control objectives make standard information theory inapplicable. This project aims to develop a novel, nonstochastic theory of information in order to analyse and design networked dynamical systems that obey worst-case performance limits. This will yield robust, probability-free algorithms for distributed control, filtering and causality inference.

Funded Activity Details

Start Date: 02-02-2015

End Date: 31-12-2022

Funding Scheme: ARC Future Fellowships

Funding Amount: $822,234.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Calculus of Variations, Systems Theory and Control Theory | Applied Mathematics | Control Systems, Robotics and Automation

ANZSRC Socio-Economic Objective (SEO)

Computer Hardware and Electronic Equipment not elsewhere classified | Communication Networks and Services not elsewhere classified |

Other Keywords

Applied Mathematics | Calculus of Variations, Systems Theory and Control Theory | Communication Networks and Services not elsewhere classified | Computer Hardware and Electronic Equipment not elsewhere classified | Control Systems, Robotics and Automation

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