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Title:
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Nonlinear System Identification Based on a Fock Space Framework |
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Author:
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Zyla, Lou; de Figueiredo, Rui J.P.
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Type:
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Tech Report |
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Keywords:
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nonlinear systems; system identification; remote sensing; estimation theory; optimization; approximation theory; Fock spaces; Volterra functionals |
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Citation:
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L. Zyla and R. J. de Figueiredo, "Nonlinear System Identification Based on a Fock Space Framework," Rice University ECE Technical Report, no. 7901, 1979. |
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Abstract:
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A method is presented for the identification of a nonlinear system represented by an operator V:E->Y, where the input space E is a separable Hilbert space over the field of complex numbers and the output space Y is the Sobolev space H<sup>2</sup><sub>n</sub>(1) of complex-valued functions y on an interval I of the real line such that d<sup>,</sup>y/dt<sup>k</sup>, k=0,...,n-1, are absolutely continuous and d<sup>n</sup>y/dt<sup>n</sup>∈L<sup>2</sup>(I).... |
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Date Published:
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1979-05-20 |
