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Original Article

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

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Pages 331-345 | Received 16 Jul 1997, Accepted 10 Mar 1998, Published online: 09 Jul 2009
 

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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