Subspace Identification for Nonlinear Systems That are Linear in Unmeasured States 1

@inproceedings{Lacy2001SubspaceIF,
  title={Subspace Identification for Nonlinear Systems That are Linear in Unmeasured States 1},
  author={Seth L. Lacy and Dennis S. Bernstein},
  year={2001}
}
In this paper we apply subspace methods to the identification of a class of multi-input multi-output 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. 
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