Identification of systems with hard input nonlinearities

Er-Wei Bai

doi:10.1007/BFb0110610

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Book chapter

Identification of systems with hard input nonlinearities

Er-Wei Bai

Perspectives in robust control, pp.1-12

Lecture Notes in Control and Information Sciences, Springer London

09/29/2007

DOI: 10.1007/BFb0110610

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Abstract

In this paper, we study identification of systems with static and nonstatic hard input nonlinearities. An identification algorithm is proposed which is based on separating the coefficients of the nonlinear part from the linear part. The identification is carried out on an equivalent problem with a much lower dimension. The method is shown to be particularly effective, if the nonlinearity is parametrized by few parameters.

Hammerstein Model

Unknown Parameter Vector

Saturation Nonlinearity

Input Nonlinearity

Identification Algorithm

Details

Title: Subtitle: Identification of systems with hard input nonlinearities
Creators: Er-Wei Bai
Resource Type: Book chapter
Publication Details: Perspectives in robust control, pp.1-12
Publisher: Springer London; London
Series: Lecture Notes in Control and Information Sciences
DOI: 10.1007/BFb0110610
eISSN: 1610-7411
ISSN: 0170-8643
Language: English
Date published: 09/29/2007
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083835902771

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