DocumentCode
3172162
Title
Identification for gain-scheduling: a balanced subspace approach
Author
Lovera, Marco ; Mercère, Guillaume
Author_Institution
Politecnico di Milano, Milano
fYear
2007
fDate
9-13 July 2007
Firstpage
858
Lastpage
863
Abstract
The problem of deriving MIMO parameter- dependent models for gain-scheduling control design from data generated by local identification experiments is considered and a numerically sound approach is proposed, based on subspace identification ideas combined with the use of suitable properties of balanced state space realisations. Simulation examples are used to demonstrate the performance of the proposed approach.
Keywords
MIMO systems; control system synthesis; identification; scheduling; state-space methods; MIMO parameter-dependent model; balanced state space realisation; gain-scheduling control design identification; Cities and towns; Control design; Control engineering; Electrical equipment industry; Industrial control; Interpolation; Job shop scheduling; MIMO; State-space methods; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2007. ACC '07
Conference_Location
New York, NY
ISSN
0743-1619
Print_ISBN
1-4244-0988-8
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2007.4282899
Filename
4282899
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