Journal
DIGITAL SIGNAL PROCESSING
Volume 73, Issue -, Pages 135-144Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.dsp.2017.11.009
Keywords
Non-Gaussian noise; Time delay; Expectation maximization; Parameter estimation; Input nonlinear system
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Funding
- National Natural Science Foundation of China [61773182]
- Natural Science Foundation of Jiangsu Province [BK20160162]
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This paper considers the robust identification for dual-rate input nonlinear equation-error systems with outliers and random time delay. To suppress the negative influence caused by the outliers to the accuracy of identification, the distribution of the noise is represented by a t-distribution rather than a Gaussian distribution. A random time delay is considered in the dual-rate input nonlinear systems. By treating the unknown time delay as the latent variable, the expectation maximization algorithm is derived for identifying the systems. Two numerical simulation examples demonstrate that the proposed algorithm can generate accurate identification results when the measurements are contaminated by the outliers. (C) 2017 Elsevier Inc. All rights reserved.
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