Conference paper
Optimal sensor configuration for complex systems
The paper considers the problem of sensor configuration for complex systems with the aim of maximizing the useful information about certain quantities of interest. Our approach involves: 1) definition of an appropriate optimality criterion or performance measure; and 2) description of an efficient and practical algorithm for achieving the optimality objective.
The criterion for optimal sensor configuration is based on maximizing the overall sensor response while minimizing the correlation among the sensor outputs, so as to minimize the redundant information being provided by the multiple sensors. The procedure for sensor configuration is based on the simultaneous perturbation stochastic approximation (SPSA) algorithm.
SPSA avoids the need for detailed modeling of the sensor response by simply relying on the observed responses obtained by limited experimentation with test sensor configurations. We illustrate the approach with the optimal placement of acoustic sensors for signal detection in structures
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 1998 |
| Pages: | 3575-3579 |
| Proceedings: | 1998 American Control Conference |
| ISBN: | 0780345304 and 9780780345300 |
| ISSN: | 23785861 and 07431619 |
| Types: | Conference paper |
| DOI: | 10.1109/ACC.1998.703278 |
Acoustic sensors Application software Biomedical monitoring Biosensors Computer simulation Laboratories Mathematical model Physics Sensor systems Stochastic processes approximation theory complex systems large-scale systems optimal sensor placement optimality criterion optimisation random process sensor configuration sensors signal detection simultaneous perturbation stochastic approximation stochastic processes
