Recursive identification and tracking of parameters for linear and non-linear multivariable systems
作者:
MENAHEM SIDAR,
期刊:
International Journal of Control
(Taylor Available online 1976)
卷期:
Volume 24,
issue 3
页码: 361-378
ISSN:0020-7179
年代: 1976
DOI:10.1080/00207177608932829
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The problem of identifying constant and variable parameters in multi-input, multi-output, linear and non-linear systems is considered, using the maximum likelihood approach. An iterative algorithm, leading to recursive identification and tracking of the unknown parameters and the noise covariance matrix, is developed. Agile tracking and accurate and unbiased identified parameters are obtained. Necessary conditions for a globally, asymptotically stable identification process are provided ; the conditions proved to be useful and efficient. Among different cases studied, the stability derivatives of an aircraft were identified and some of the results are shown as examples.
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