Until now, in constrast to other block-oriented model structures, the nonlinear LFR model has received relatively little attention by the system identification and instrumentation and measurement communities. However, since it comprises a general multiple-input-multiple-output (MIMO) linear time-invariant part and a static nonlinearity (SNL), it allows one to represent any (complex) block-structure consisting of linear dynamic blocks and one SNL. This flexibility makes the LFR model an attractive candidate in real measurement applications.
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