Identification of FIR Wiener Systems With Unknown, Non-Invertible, Polynomial Non-Linearities

Abstract

Wiener systems consist of a linear dynamic system whose output is measured through a static non-linearity. In this paper we study the identification of single-input single-output Wiener systems with finite impulse response dynamics, and polynomial output non-linearities. Using multi-index notation, we solve a least squares problem to estimate products of the coefficients of the non-linearity and the impulse response of the linear system. We then consider four methods for extracting the coefficients of the non-linearity and impulse response: direct algebraic solution, singular value decomposition, multi-dimensional singular value decomposition and prediction error optimization.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA431898

Entities

People

  • Dennis S. Bernstein
  • Seth L. Lacy

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Coefficients
  • Decomposition
  • Differential Equations
  • Dynamics
  • Equations
  • Identification
  • Information Theory
  • Linear Systems
  • Mathematics
  • Nonlinear Systems
  • Notation
  • Optimization
  • Polynomials
  • Signal Processing
  • Systems Biology
  • Systems Science

Fields of Study

  • Engineering
  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Control Systems Engineering.