Robust real-time identification of linear systems with correlated noise
作者:
BRANKOD. KOVAČEVIĆ,
VOJISLAVŽ. FILIPOVIĆ,
期刊:
International Journal of Control
(Taylor Available online 1988)
卷期:
Volume 48,
issue 3
页码: 993-1010
ISSN:0020-7179
年代: 1988
DOI:10.1080/00207178808906231
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The problem of recursive robust identification of linear discrete-time single-input single-output dynamic systems with correlated disturbances is considered. Problems related to the construction of optimal robust stochastic approximation algorithms in the min-max sense are demonstrated. Since the optimal solution cannot be achieved in practice, several robustified stochastic approximation algorithms are derived on the basis of a suitable non-linear transformation of normalized residuals, as well as step-by-step optimization with respect to the weighting matrix of the algorithm. The convergence of the developed algorithms is established theoretically using the ordinary differential equation approach. Monte Carlo simulation results are presented for the quantitative performance evaluation of the proposed algorithms. The results indicate the most suitable algorithms for applications in engineering practice.
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