Discretization of linear fractional representations of LPV systems

R. Toth, M. Lovera, P.S.C. Heuberger, P.M.J. Hof, Van den

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

15 Citations (Scopus)
229 Downloads (Pure)


Commonly, controllers for Linear Parameter- Varying (LPV) systems are designed in continuous-time using a Linear Fractional Representation (LFR) of the plant. However, the resulting controllers are implemented on digital hardware. Furthermore, discrete-time LPV synthesis approaches require a discrete-time model of the plant which is often derived from continuous-time first-principle models. Existing discretization approaches for LFRs suffer from disadvantages like alternation of dynamics, complexity, etc. To overcome the disadvantages, novel discretization methods are derived. These approaches are compared to existing techniques and analyzed in terms of approximation error, considering ideal zero-order hold actuation and sampling.
Original languageEnglish
Title of host publicationProceedings of the 48th IEEE Conference on Decision and Control (CDC 2009), 16-18 December 2009, Shanghai, China
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Print)978-1-4244-3871-6
Publication statusPublished - 2009
Event48th IEEE Conference on Decision and Control, CDC 2009 - "Shanghai International Convention Center", Shanghai, China
Duration: 15 Dec 200918 Dec 2009
Conference number: 48


Conference48th IEEE Conference on Decision and Control, CDC 2009
Abbreviated titleCDC 2009
Other48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Internet address


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