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- W2532979304 abstract "Model-groups design is one of the most important problems in the application of the multiple-model (MM) estimator with a variable structure. The design of model-groups used in MM approach is considered in this paper. At first, two design algorithms for symmetric model-set are addressed by moment matching solution, if the true mode is a random variable and obeys certain probability distribution. Then the model-groups based on above designs are given, which give the practical guidance for use of model-set in MM approach and lead to improve the performance of MM estimation." @default.
- W2532979304 created "2016-10-28" @default.
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- W2532979304 date "2008-12-01" @default.
- W2532979304 modified "2023-09-26" @default.
- W2532979304 title "Model-Groups Design Methods for Multiple-Model Estimation with Variable Structure" @default.
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- W2532979304 doi "https://doi.org/10.1109/kamw.2008.4810521" @default.
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