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Fault Estimation for Discrete Time LPV Systems under Noisy Scheduling Measurements

Tamas Luspay ; Balazs Kulcsar (Institutionen för signaler och system, Reglerteknik) ; Karolos M Grigoriadis
In Proceedings of IFAC International Symposium on Fault Detection, Supervision and Safety for Technical Processes Safeprocess’15, September 2-4, Paris, France (1474-6670). (2015)
[Konferensbidrag, refereegranskat]

Developed in the paper, is a systematic design framework for parameter-dependent fault diagnosis, with noise corrupted measurements of the scheduling parameter. A stochastic fault estimation filter design method is addressed for a class of discrete-time Linear Parameter Varying (LPV) systems. First, the average valued filter stability is ensured by means of a quadratic dissipativity condition. Apart stability, within the same mean square framework a robust performance objective is defined. Conditions to satisfy robust stability requirements are translated to an optimization problem subject to Bilinear Matrix Inequality (BMI) constraints. A comparative numerical example is given to illustrate and validate the proposed methodology.

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Denna post skapades 2015-04-29. Senast ändrad 2016-11-11.
CPL Pubid: 216054


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Institutioner (Chalmers)

Institutionen för signaler och system, Reglerteknik (2005-2017)



Chalmers infrastruktur