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- W2074702004 abstract "A new recursive prediction error algorithm (RPEM) based on a non-linear ordinary differential equation (ODE) model of black-box state space form is presented. The selected model is discretised by a midpoint integration algorithm and compared to an Euler forward algorithm. When the algorithm is applied, scaling of the sampling time is used to improve performance further. This affects the state vector, the parameter vector and the Hessian. This impact is analysed and described in three Theorems. Numerical examples are provided to verify the theoretical results obtained." @default.
- W2074702004 created "2016-06-24" @default.
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- W2074702004 date "2010-06-01" @default.
- W2074702004 modified "2023-09-24" @default.
- W2074702004 title "Recursive prediction error identification and scaling of non-linear systems with midpoint numerical integration" @default.
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- W2074702004 doi "https://doi.org/10.1109/acc.2010.5530861" @default.
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