DocumentCode
2248952
Title
Nonlinear GMV control for unstable state dependent multivariable models
Author
Grimble, M.J. ; Majecki, P.
Author_Institution
Univ. of Strathclyde, Glasgow, UK
fYear
2008
fDate
9-11 Dec. 2008
Firstpage
4767
Lastpage
4774
Abstract
A nonlinear generalized minimum variance control law is derived for systems represented by an input-output state dependent nonlinear subsystem that may be open-loop unstable. The solution is obtained using a model for the multivariable discrete-time process that includes a state-dependent (nonlinear and possibly unstable) model that links the output and any unstructured nonlinear input subsystem. The input subsystem can involve an operator of very general nonlinear form, but this has to be assumed to be stable. This is the first NGMV control solution that is suitable for systems containing an unstable nonlinear sub-system contained in a state-dependent model.
Keywords
discrete time systems; multivariable control systems; nonlinear control systems; input-output state dependent nonlinear subsystem; multivariable discrete-time process; nonlinear GMV control; nonlinear generalized minimum variance control; state dependent multivariable models; Control systems; Covariance matrix; Delay; MIMO; Nonlinear control systems; Nonlinear equations; Nonlinear systems; Open loop systems; Technological innovation; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location
Cancun
ISSN
0191-2216
Print_ISBN
978-1-4244-3123-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2008.4739137
Filename
4739137
Link To Document