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Multi Observer Structure for Rapid State Estimation in Linear Time Varying Systems

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Abstract

A new method to design observers for linear time-varying systems is presented in this paper. The method begins by constructing two layers. The first layer is made up of multiple observers, while the second establishes a relationship between observers via a weighted estimation state. The primary challenge was to find a new feedback process that would determine the second layer weights. The multiple observers of the first layer were investigated to determine a general observation law. The resulting multilayer structure significantly improves the transient characteristics of the observation process, which leads to a more efficient control system.

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Correspondence to Jakub Bernat.

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Recommended by Associate Editor Young Soo Suh under the direction of Editor Fuchun Sun.

Jakub Bernat have received the MS degree in 2007 and PhD degree in 2011, both from the Poznan University of Technology. My main research areas are control theory, adaptive systems, state estimation and smart materials analysis.

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Bernat, J. Multi Observer Structure for Rapid State Estimation in Linear Time Varying Systems. Int. J. Control Autom. Syst. 16, 1746–1755 (2018). https://doi.org/10.1007/s12555-017-0262-4

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  • DOI: https://doi.org/10.1007/s12555-017-0262-4

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