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Iterative identification.
4) Iterative identification .
This work proposes an iterative identification algorithm for polynomial NARX models with several inputs.
To conform to these particular conditions, an iterative identification method was developed.
The optimal parameter combination is obtained in the process of iterative identification.
A new iterative identification method is proposed in which local and global information about the control design criterion is blended.
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The identified models will then suitable for iterative identification-control design.
Convergence analysis of iterative identification-optimization schemes is a key issue in modeling for optimization of batch processes.
In this paper, the problem of control-relevant test input design for iterative system identification is considered.
This paper presents a two step approach to solving a control-relevant test input design problem for iterative system identification.
Furthermore, by applying the feature equation and KEMC data, it designs an iterative learning identification and adaptive control solution to adjust automatically the average propulsive speed.
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