Suchergebnisse - over‐parametrization based recursive least squares method

Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems von Ji, Yan, Jiang, Xiaokun, Wan, Lijuan

“… , and a multi-innovation least squares algorithm is proposed for enhancing the parameter estimation accuracy based on the multi-innovation identification theory …”
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Filtering based least squares parameter estimation algorithms for Hammerstein nonlinear CARMA systems von Mao, Yawen, Ding, Feng, Pan, Jian, Ding, Wenfang, Wan, Xiangkui

“… Compared with the over-parametrization based recursive least squares method, the proposed algorithm can avoid estimating the redundant parameters and has a higher computational efficiency …”
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Hierarchical estimation method for fractional-order systems based on the auxiliary model von Zhang, Yufan, Zhang, Xiao, Ding, Feng

“… •We propose a novel auxiliary model-based hierarchical recursive least squares identification algorithm, which updates parameters online as new samples arrive …”
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Separate block-based parameter estimation method for Hammerstein systems von Zhang, Shuo, Wang, Dongqing, Liu, Feng

“… ), by using two least-squares algorithms in one recursive step. The internal variable between the two blocks …”
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