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Towards identification of Wiener systems with the least amount of a priori information on the nonlinearity

✍ Scribed by Er-Wei Bai; John Reyland Jr.

Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
269 KB
Volume
44
Category
Article
ISSN
0005-1098

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✦ Synopsis

In this paper, we investigate what constitutes the least amount of a priori information on the nonlinearity so that the FIR linear part is identifiable in the non-Gaussian input case. Three types of a priori information are considered including quadrant information, point information and locally monotonous information. In all three cases, identifiability has been established and corresponding identification algorithms are developed with their convergence proofs.

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