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- W2073666413 abstract "An algorithm for identification of a nonlinear characteristic in a static distributed-parameter system is proposed. The algorithm is nonparametric in the sense that only smooth requirements are imposed on the unknown characteristic and that the number of terms in its orthogonal series expansion is not fixed in advance, depending on the number of measurements (the idea borrowed from statistics). Computational simplicity of the algorithm is obtained by restricting its applications to the identification of only weakly nonlinear, static systems, which allows applying perturbation theory. It is shown that if the unknown characteristic in the system equation is replaced by its estimator, then the resulting state converges to the true system state in the mean square sense." @default.
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- W2073666413 date "1984-04-01" @default.
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- W2073666413 title "Nonparametric algorithm for identification of weakly nonlinear static distributed-parameter systems" @default.
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- W2073666413 doi "https://doi.org/10.1016/s0167-6911(84)80057-2" @default.
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