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Multiplier-based, robust H estimation with application to robust fault detection

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2 Author(s)
E. G. Collins ; Dept. of Mech. Eng., Florida A&M Univ., Tallahassee, FL, USA ; Tinglun Song

This paper uses the Popov-Tsypkin multiplier (which has intimate connections to the mixed structured singular value theory) to design robust H estimators for uncertain linear discrete-time systems and considers the application of robust H estimators to robust fault detection. The key to estimator-based, robust fault detection is to generate residuals which are robust against plant uncertainties and external disturbance inputs, which in turn requires the design of robust estimators. The robust H estimation problem is formulated as a Riccati equation feasibility problem in which a cost function is minimized subject to a Riccati equation constraint. The robust H estimator framework is then applied to the robust fault detection of dynamic systems

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American Control Conference, 1999. Proceedings of the 1999  (Volume:6 )

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