Unfalsified control using an ellipsoidal unfalsified region applied to a motion system

J.J.M. Helvoort, van, A.G. Jager, de, M. Steinbuch

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

In this paper, unfalsified control theory (a data-driven model-free control theory) is applied to determine which control parameter sets in a specified control structure are able to meet a given performance specification, using merely measured input/output data. The need for a finite, often large, amount of parameter sets (gridding) is overcome by applying an ellipsoidal description of the region containing all unfalsified control parameter sets (unfalsified region). It is shown that by using an appropriate performance specification, the optimal update of the ellipsoidal unfalsified region, initiated by new data, can be computed analytically.With the two properties mentioned, improved convergence and reduction of computational effort are combined to derive the unfalsified control parameter set. Real-time implementation is demonstrated by experimental results obtained on a motion system.
Original languageEnglish
Title of host publicationProceedings of the 16th IFAC World Congress, 4-8 July 2005, Prague, Czech
Pages6-
Publication statusPublished - 2005

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