| 1 |
Estimating models with high-order noise dynamics using semi-parametric weighted null-space fitting
Galrinho M, Rojas CR, Hjalmarsson H
Automatica, 102, 45, 2019 |
| 2 |
Benchmark problems for continuous-time model identification: Design aspects, results and perspectives
Pascu V, Garnier H, Ljung L, Janot A
Automatica, 107, 511, 2019 |
| 3 |
The transient impulse response modeling method for non-parametric system identification
Hagg P, Schoukens J, Gevers M, Hjalmarsson H
Automatica, 68, 314, 2016 |
| 4 |
Optimally conditioned instrumental variable approach for frequency-domain system identification
van Herpen R, Oomen T, Steinbuch M
Automatica, 50(9), 2281, 2014 |
| 5 |
A matrix nullspace approach for solving equality-constrained multivariable polynomial least-squares problems
Holze MS, Bernstein DS
Automatica, 50(12), 3030, 2014 |
| 6 |
Identification of systems with localised nonlinearity: From state-space to block-structured models
Van Mulders A, Schoukens J, Vanbeylen L
Automatica, 49(5), 1392, 2013 |
| 7 |
Adaptive system identification for estimating future glucose concentrations and hypoglycemia alarms
Eren-Oruklu M, Cinar A, Rollins DK, Quinn L
Automatica, 48(8), 1892, 2012 |
| 8 |
Valve friction and nonlinear process model closed-loop identification
Romano RA, Garcia C
Journal of Process Control, 21(4), 667, 2011 |
| 9 |
Two nonlinear optimization methods for black box identification compared
Van Mulders A, Schoukens J, Volckaert M, Diehl M
Automatica, 46(10), 1675, 2010 |
| 10 |
Real time identification of discrete event systems using Petri nets
Dotoli M, Fanti MP, Mangini AM
Automatica, 44(5), 1209, 2008 |
