Parameters Set Evaluation of Wiener Models from Data with Bounded Output Errors
نویسندگان
چکیده
In this paper a procedure is presented for deriving parameters bounds in SISO Wiener models when the nonlinear block can be modeled by a polynomial and the output measurement errors are bounded. First, using steady-state input-output data, parameters of the nonlinear block are tightly bounded. Next in order to estimate the parameters of the linear block, the evaluation of the inner unmeasurable signal is considered. No invertibility assumption of the nonlinearity is required. Then, through a suitable design of the identification experiment, bounds on the unmeasurable inner signal are evaluated. Finally, such bounds together with the input sequence are used for bounding the parameters of the linear model.
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