This paper deals with the problem of joint state and parameter estimation based on a set adaptive observer design. The problem is formulated and solved for an LPV (linear parameter-varying) system. The resolution methodology avoids the exponential complexity obstruction usually encountered in the set-membership parameter estimation. A simulation example is presented to illustrate the efficiency of the proposed approach.
Set Adaptive Observers for Linear Parameter-Varying Systems: Application to Fault Detection
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received May 7, 2012; final manuscript received July 11, 2013; published online December 2, 2013. Assoc. Editor: John B. Ferris.
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Efimov, D., Raïssi, T., and Zolghadri, A. (December 2, 2013). "Set Adaptive Observers for Linear Parameter-Varying Systems: Application to Fault Detection." ASME. J. Dyn. Sys., Meas., Control. March 2014; 136(2): 021006. https://doi.org/10.1115/1.4025797
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