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Authors
Kenneth Hsu; Tyrone Vincent; Kameshwar Poolla

Identifier
10.3182/20060329-3-AU-2901.00193

Index Terms
nonlinear system identification,structured systems,kernel

Abstract
We consider interconnected systems consisting of linear time-invariant systems and static nonlinear maps. Under the assumptions that the linear dynamics are known and the input to the nonlinear maps are measurable, it is shown that the identification problem can be reduced to a least squares problem. An identification algorithm utilizing a kernel-based dispersion function is proposed.

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