IDENTIFICATION OF DISTRIBUTED PARAMETER SYSTEMS BASED ON MULTIVARIABLE ESTIMATION AND WIRELESS SENSOR NETWORKS

Constantin Volosencu

Abstract

One of the important problem related to the usage of wireless sensor networks in harsh environments is the identification of the states of the physical variables in the field, based on the measurements provided by the sensors. The sensor networks allow the usage of the multivariable estimation techniques in distributed parameter systems. The paper presents an application of a multivariable auto-regression estimation technique for identification in distributed parameter systems, based on a sensor network. A case study was presented for identification in a heat diffusion process.

References

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Paper Citation


in Harvard Style

Volosencu C. (2008). IDENTIFICATION OF DISTRIBUTED PARAMETER SYSTEMS BASED ON MULTIVARIABLE ESTIMATION AND WIRELESS SENSOR NETWORKS . In Proceedings of the International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2008) ISBN 978-989-8111-62-3, pages 92-95. DOI: 10.5220/0002026300920095


in Bibtex Style

@conference{winsys08,
author={Constantin Volosencu},
title={IDENTIFICATION OF DISTRIBUTED PARAMETER SYSTEMS BASED ON MULTIVARIABLE ESTIMATION AND WIRELESS SENSOR NETWORKS},
booktitle={Proceedings of the International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2008)},
year={2008},
pages={92-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002026300920095},
isbn={978-989-8111-62-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2008)
TI - IDENTIFICATION OF DISTRIBUTED PARAMETER SYSTEMS BASED ON MULTIVARIABLE ESTIMATION AND WIRELESS SENSOR NETWORKS
SN - 978-989-8111-62-3
AU - Volosencu C.
PY - 2008
SP - 92
EP - 95
DO - 10.5220/0002026300920095