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- W2068293623 abstract "A recursive generalized least squares algorithm and a filtering based least squares algorithm are developed for input nonlinear dynamical adjustment models with memoryless nonlinear blocks followed by linear dynamical blocks. The basic idea is to use the filtering technique and to replace the unknown terms in the information vectors with their estimates. The simulation results show the performance of the proposed algorithms." @default.
- W2068293623 created "2016-06-24" @default.
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- W2068293623 date "2011-09-01" @default.
- W2068293623 modified "2023-10-09" @default.
- W2068293623 title "Parameter estimation for nonlinear dynamical adjustment models" @default.
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- W2068293623 doi "https://doi.org/10.1016/j.mcm.2011.04.027" @default.
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