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

Authors:
Er-Wei Bai;John Reyland, Jr.
Affiliations:
Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, USA;Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, USA
Venue:
Automatica (Journal of IFAC)
Year:
2008

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Abstract

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.