[Cite as http://purl.org/au-research/grants/arc/DP0346423]
Researchers A/Prof V Sreeram
Brief description Model reduction is an important area of study in the analysis and design of dynamical systems. Its objective is to obtain a low-order model given a high-order system model such that the low-order model closely approximates the input-output behaviour of the original high-order system. Although theory and application of model reduction is well developed, there are many unresolved issues such as efficient model reduction techniques for large-scale circuit simulation and communication applications, frequency-weighted model reduction techniques for controller-design applications, and error bounds for the reduction techniques. The project aims to address these issues.
Funding Amount $172,536
Funding Scheme Discovery Projects