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• W2060587875 abstract "The feasibility of a moving-bank multiple model adaptive estimator/controller is examined. Compared to a conventional full-bank multiple model adaptive algorithm, a significant reduction in the number of required elemental filters is accomplished through a dynamic re-declaration of the positions in parameter space that the elemental filters occupy. Critical to the performance of the moving-bank estimator is the decision method that governs movement of the bank of elemental filters. Five such methods are developed and their performances are compared to each other and to a benchmark filter with artificial knowledge of the true parameter value. Three adaptive controller algorithms are also generated and evaluated. A simple but physically motivated example is used to gain insights into relative performance potential of the proposed algorithms." @default.
• W2060587875 created "2016-06-24" @default.
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• W2060587875 date "1985-12-01" @default.
• W2060587875 modified "2023-09-25" @default.
• W2060587875 title "Investigation of moving-bank multiple model adaptive algorithms" @default.
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• W2060587875 doi "https://doi.org/10.1109/cdc.1985.268907" @default.
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