Abstract
The identification of Multi-input Multi-output (MIMO) Wiener systems is concerned in this paper. The system presented is comprised of a multi-dimensional linear subsystem and a memory-less nonlinear block which is made of discontinuous asymmetric piece-wise 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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This work is supported by the Funds 2004CB719400, NSFC60672110, NSFC60474026 and the JSPS Foundation.
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Fan, D., Lo, K. Identification for disturbed MIMO Wiener systems. Nonlinear Dyn 55, 31–42 (2009). https://doi.org/10.1007/s11071-008-9342-6
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DOI: https://doi.org/10.1007/s11071-008-9342-6