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Parameter estimation for an input nonlinear state space system with time delay
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DOI：10.1016/j.jfranklin.2014.08.018.png)
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This paper researches parameter estimation problems for an input nonlinear system with state time-delay. Combining the linear transformation and the property of the shift operator, the system is transformed into a bilinear parameter identification model. A gradient based and a least squares based iterative parameter estimation algorithms are presented for identifying the state time-delay system. The simulation results confirm that the proposed two algorithms are effective and the least squares based iterative algorithm has faster convergence rates than the gradient based iterative algorithm. (C) 2014 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Keyword:
LEAST-SQUARES ALGORITHM
ITERATIVE ESTIMATION
IDENTIFICATION
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3.7
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6.4K
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1.5W
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