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Useful redundancy in parameter and time delay estimation for continuous-time models
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DOI：10.1016/j.automatica.2018.06.023.png)
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Abstract
En 中文
In this paper we propose an algorithm to estimate the parameters, including time delay, of continuous time systems based on instrumental variable identification methods. To overcome the multiple local minima of the cost function associated with the estimation of a time delay system, we utilize the useful redundancy technique. Specifically, the cost function is filtered through a set of low-pass filters to improve convexity with the useful redundancy technique exploited to achieve convergence to the global minimum of the optimization problem. Numerical examples are presented to demonstrate the effectiveness of the proposed algorithm. Crown Copyright (C) 2018 Published by Elsevier Ltd. All rights reserved.
Keywords:
Continuous time identification
Time delay
Useful redundancy
Global optimization
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