DocumentCode :
3849268
Title :
Discretisation of linear parameter-varying state-space representations
Author :
R. Toth;P.S.C. Heuberger;P.M.J. Van Den Hof
Author_Institution :
Delft Center for Systems and Control, Delft University of Technology, Mekelweg 2, 2628 CD, Delft, The Netherlands
Volume :
4
Issue :
10
fYear :
2010
fDate :
10/1/2010 12:00:00 AM
Firstpage :
2082
Lastpage :
2096
Abstract :
Discretisation of linear parameter-varying (LPV) systems is a relevant, but insufficiently investigated problem of both LPV control design and system identification. In this contribution, existing results on the discretisation of LPV state-space models with static dependence (without memory) on the scheduling signal are surveyed and new methods are introduced. These approaches are analysed in terms of approximation error, considering ideal zero-order hold actuation and sampling of the input-output signals and scheduling variables of the system. Criteria to choose appropriate sampling periods with respect to the investigated methods are also presented. The application of the considered approaches on state-space representations with dynamic dependence (with memory) on the scheduling is investigated in a higher-order hold sense.
Journal_Title :
IET Control Theory & Applications
Publisher :
iet
ISSN :
1751-8644
Type :
jour
DOI :
10.1049/iet-cta.2009.0572
Filename :
5611728
Link To Document :
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