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The paper studies the parameter fitting problems of a typical nonlinear system. Two equation converted methods are used to convert the nonlinear fitting problem to the linear fitting one which is easy to solve. Then using the negative gradient searching and Newton iteration theory, we derive the gradient and Newton estimation algorithms to determine the parameters of the nonlinear system. Furthermore,...
In order to reduce the computational load of the recursive least squares (RLS) algorithm, a decomposition based least squares algorithm is developed for non-uniformly sampled multirate systems. The main ideal is to decompose the identification model of the non-uniformly sampled systems into several submodels with smaller dimensions and fewer parameters based on the hierarchical identification principle...
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