Authors: Dan Fan Kueiming Lo
Publish Date: 2008/03/03
Volume: 55, Issue: 1-2, Pages: 31-42
Abstract
The identification of Multiinput Multioutput MIMO Wiener systems is concerned in this paper The system presented is comprised of a multidimensional linear subsystem and a memoryless nonlinear block which is made of discontinuous asymmetric piecewise linear functions A recursive algorithm is proposed to estimate all the unknown parameters of the system with interference noises It is shown that the recursive algorithm for the disturbed MIMO Wiener system is convergent Finally some simulation results illustrate the identification accuracy and the convergence rate
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