| 1 |
Benchmark problems for continuous-time model identification: Design aspects, results and perspectives
Pascu V, Garnier H, Ljung L, Janot A
Automatica, 107, 511, 2019 |
| 2 |
Identification of Discrete-Time Output Error Model Using Filtered Input Excitation for Integrating Processes With Time Delay
Liu T, Dong SJ, Chen FW, Li DW
IEEE Transactions on Automatic Control, 62(5), 2524, 2017 |
| 3 |
Identification of discrete-time output error model for industrial processes with time delay subject to load disturbance
Dong SJ, Liu T, Wang W, Bao J, Cao Y
Journal of Process Control, 50, 40, 2017 |
| 4 |
Identification Scheme for Hammerstein Output Error Models With Bounded Noise
Pouliquen M, Pigeon E, Gehan O
IEEE Transactions on Automatic Control, 61(2), 550, 2016 |
| 5 |
Iterative identification of output error model for industrial processes with time delay subject to colored noise
Dong SJ, Liu T, Li MZ, Cao Y
Chinese Journal of Chemical Engineering, 23(12), 2005, 2015 |
| 6 |
Output-Error Identification of Large Scale 1D-Spatially Varying Interconnected Systems
Torres P, van Wingerden JW, Verhaegen M
IEEE Transactions on Automatic Control, 60(1), 130, 2015 |
| 7 |
A bias-corrected estimator for nonlinear systems with output-error type model structures
Piga D, Toth R
Automatica, 50(9), 2373, 2014 |
| 8 |
Feasible Parameter Set Approximation for Linear Models with Bounded Uncertain Regressors
Casini M, Garulli A, Vicino A
IEEE Transactions on Automatic Control, 59(11), 2910, 2014 |
| 9 |
Frequency domain identification of continuous-time output error models, Part II: Non-uniformly sampled data and B-spline output approximation
Gillberg J, Ljung L
Automatica, 46(1), 11, 2010 |
| 10 |
An iterative algorithm for simulation error based identification of polynomial input-output models using multi-step prediction
Farina M, Piroddi L
International Journal of Control, 83(7), 1442, 2010 |
