Model-Reduction Techniques for Control, Communication and Circuits [ 2003-06-01 - 2006-12-31 ]

Research Grant

Researchers: A/Prof Victor Sreeram (Chief Investigator)

Brief description Model-Reduction Techniques for Control, Communication and Circuits. 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

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