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Impulsive Control for Target Estimation in Sensor Networks

  • Qian Ye
  • Xuyang Lou
Short Paper
  • 21 Downloads

Abstract

State estimation of nonlinear systems over sensor networks is a current challenge. This work pertains to the study of the target estimation in sensor networks using impulsive control. We first propose an impulse-based filtering scheme of a class of nonlinear systems over sensor networks. Based on impulsive control theory and a comparison theorem, we then present generic criteria for estimation under the designed impulse-based filter. The performance is illustrated with simulations in a network with four sensor groups.

Keywords

Estimation Sensor network Impulsive control Comparison principle 

Notes

Acknowledgements

This work is partially supported by National Natural Science Foundation of China (61473136).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Wuxi Institute of TechnologyWuxiChina
  2. 2.Institute of System EngineeringJiangnan UniversityWuxiChina

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