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PubMed · 9690147

Optimal actuator placement for large scale systems: a reduced-order modelling approach.

M Mattingly·R B Roemer·S Devasia
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Abstract

A recently developed, extended balanced realization, reduced order modelling technique for large-scale distributed systems is applied to the problem of optimal actuator placement for hyperthermia treatments. Extended balanced realization develops low-order models whose state reconstructions are robust to actuator and sensor placement changes, and hence can be effectively used to find optimal placements in a computationally efficient manner. This optimization approach has been tested on simulations of a scanned focused, ultrasound hyperthermia system and found to be robust and accurate over a wide range of models, and the savings in computational costs were found to be significant.

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Equipment DesignHyperthermia, InducedModels, TheoreticalJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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M Mattingly, R B Roemer, S Devasia. Optimal actuator placement for large scale systems: a reduced-order modelling approach.. https://doi.org/10.3109/02656739809018237

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