DocumentCode
2184589
Title
Subspace identification for nonlinear systems that are linear in unmeasured states
Author
Lacy, Seth L. ; Bernstein, Dennis S.
Author_Institution
Dept. of Aerosp. Eng., Michigan Univ., Ann Arbor, MI, USA
Volume
4
fYear
2001
fDate
2001
Firstpage
3518
Abstract
In this paper, we apply subspace methods to the identification of a class of multi-input multi-output (MIMO) discrete-time nonlinear time-varying systems. Specifically, we study the identification of systems that are nonlinear in measured data and linear in unmeasured states. We present numerical simulations to demonstrate the efficacy of the method
Keywords
MIMO systems; bilinear systems; discrete time systems; identification; numerical analysis; time-varying systems; MIMO discrete-time nonlinear time-varying systems; bilinear systems; measured data; multi-input multi-output systems; numerical simulations; subspace identification; unmeasured states; Aerodynamics; Aerospace engineering; Delay; NASA; Noise measurement; Nonlinear dynamical systems; Nonlinear systems; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-7061-9
Type
conf
DOI
10.1109/.2001.980404
Filename
980404
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