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
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;
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
DOI :
10.1109/.2001.980404
