2009IEEE Transactions on Control Systems TechnologyRequires access

Control Relevant Blind Identification of Disturbances With Application to a Multivariable Active Vibration Isolation Platform

Matthijs Boerlage, Bram de Jager, Maarten Steinbuch

Open publisher page 15 citations

Abstract

This paper deals with the identification of root causes of disturbances in multivariable systems. It is shown that this boils down to a blind identification problem that can be solved, under additional assumptions, within certain indeterminacies. Using the results from identification, it is illustrated how sources can be physically interpreted and the location of the sources can be recovered. Also, a design tool is developed to select multivariable feedback controller candidates. The practical feasibility is demonstrated on an industrial multivariable controlled active vibration isolation platform.

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What this paper is about

This paper deals with the identification of root causes of disturbances in multivariable systems. It is shown that this boils down to a blind identification problem that can be solved, under additional assumptions, within certain indeterminacies. Using the results from identification, it is illustrated how sources can be physically interpreted and the location of the sources can be recovered. Also, a design tool is developed to select multivariable feedback controller candidates. The practical feasibility is demonstrated on an industrial multivariable controlled active vibration isolation platform.

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OpenAlex reports 15 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper deals with the identification of root causes of disturbances in multivariable systems. It is shown that this boils down to a blind identification problem that can be solved, under additional assumptions, within certain indeterminacies. Using the results from identification, it is illustrated how sources can be physically interpreted and the location of the sources can be recovered. Also, a design tool is developed to select multivariable feedback controller candidates. The practical feasibility is demonstrated on an industrial multivariable controlled active vibration isolation platform.

Key concepts: Multivariable calculus, Identification (biology), Control theory (sociology), Vibration isolation, Control engineering, Isolation (microbiology), Controller (irrigation), System identification

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