1 |
Generalized convergence conditions of the parameter adaptation algorithm in discrete-time recursive identification and adaptive control Vau B, Bourles H Automatica, 92, 109, 2018 |
2 |
Recursive Nonparametric Identification of Nonlinear Systems With Adaptive Binary Sensors Zhao WX, Chen HF, Tempo R, Dabbene F IEEE Transactions on Automatic Control, 62(8), 3959, 2017 |
3 |
Convergence analysis for recursive Hammerstein identification Mattsson P, Wigren T Automatica, 71, 179, 2016 |
4 |
Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model Wang YJ, Ding F Automatica, 71, 308, 2016 |
5 |
An efficient hierarchical identification method for general dual-rate sampled-data systems Liu YJ, Ding F, Shi Y Automatica, 50(3), 962, 2014 |
6 |
A Recursive Local Linear Estimator for Identification of Nonlinear ARX Systems: Asymptotical Convergence and Applications Zhao WX, Zheng WX, Bai EW IEEE Transactions on Automatic Control, 58(12), 3054, 2013 |
7 |
Recursive identification for Hammerstein-Wiener systems with dead-zone input nonlinearity Yu F, Mao ZZ, Jia MX Journal of Process Control, 23(8), 1108, 2013 |
8 |
Weighted least squares based recursive parametric identification for the submodels of a PWARX system Zhao WX, Zhou T Automatica, 48(6), 1190, 2012 |
9 |
Parameter estimation with scarce measurements Ding F, Liu GJ, Liu XPP Automatica, 47(8), 1646, 2011 |
10 |
Recursive Identification for MIMO Hammerstein Systems Chen XM, Chen HF IEEE Transactions on Automatic Control, 56(4), 895, 2011 |