Parameters set evaluation of wiener models from data with bounded output errors

作者: V. Cerone , M. Milanese , D. Regruto

DOI: 10.1016/S1474-6670(17)34866-8

关键词: Bounded functionBounding overwatchPolynomialControl theoryNonlinear systemBlock (data storage)Linear modelMathematicsObservational errorSequenceApplied mathematics

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

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