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Parameter Identification with Finite-Convergence Time Alertness Preservation

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arxiv 2012.00369 v1 pith:IFLTH6D4 submitted 2020-12-01 math.ST math.DSstat.TH

Romeo Ortega , Alexey Bobtsov , Nikolay Nikolaev This is my paper · ORCID
classification math.STmath.DSstat.TH
keywords estimatorsparametertimefinite-convergenceversionsalertnessassumptionsasymptotically
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In this brief note we present two new parameter identifiers whose estimates converge in finite time under weak interval excitation assumptions. The main novelty is that, in contrast with other finite-convergence time (FCT) estimators, our schemes preserve the FCT property when the parameters change. The previous versions of our FCT estimators can track the parameter variations only asymptotically. Continuous-time and discrete-time versions of the new estimators are presented

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