Subspace identification for nonlinear systems that are linear in unmeasured states

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.

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