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Eigenstructure assignment has been retained in its multi model approach.
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Our step-wise combinatorial multi-model approach shows a more detailed view of overall performances.
The paper introduces the basic concepts of this multi-scale and multi-model approach.
A methodology for identification and control of complex nonlinear plants using multi-model approach is presented in this paper.
The method is an extension of the multi-model approach used for the construction of auxiliary signals for failure detection.
It is shown that the multi-model approach is necessary to ensure the uniqueness of the obtained properties.
This procedure can be implemented using a multi-model approach, what increase the robustness of synthesized controller.
The basic idea of this multi-model approach is the use of each component model's unique capability to better capture different patterns in the data.
An advantage of the multi-model approach is that the PSM is implemented under simple mathematical operations, which make its implementation relatively simple.
Thanks to real-μ-analysis, the (μ,Mu -iteration generalizes the discrete multi-model approach to a continuum of models, represented by LFT.
The ID methodology considers norm based indexes for controllability, as well as robust performance conditions by using a multi-model approach.
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