| 1 |
The quest for the right kernel in Bayesian impulse response identification: The use of OBFs
Darwish MAH, Pillonetto G, Toth R
Automatica, 87, 318, 2018 |
| 2 |
Asymmetric Volterra Models Based on Ladder-Structured Generalized Orthonormal Basis Functions
Machado JB, Campello RJGB, Amaral WC
IEEE Transactions on Automatic Control, 60(11), 2879, 2015 |
| 3 |
Wiener system identification with generalized orthonormal basis functions
Tiels K, Schoukens J
Automatica, 50(12), 3147, 2014 |
| 4 |
A review on data-driven linear parameter-varying modeling approaches: A high-purity distillation column case study
Bachnas AA, Toth R, Ludlage JHA, Mesbah A
Journal of Process Control, 24(4), 272, 2014 |
| 5 |
Asymptotically optimal orthonormal basis functions for LPV system identification
Toth R, Heuberger PSC, Van den Hof PMJ
Automatica, 45(6), 1359, 2009 |
| 6 |
Non-asymptotic confidence regions for model parameters in the presence of unmodelled dynamics
Campi MC, Ko S, Weyer E
Automatica, 45(10), 2175, 2009 |
| 7 |
Exact Search Directions for Optimization of Linear and Nonlinear Models Based on Generalized Orthonormal Functions
da Rosa A, Campello RJGB, Amaral WC
IEEE Transactions on Automatic Control, 54(12), 2757, 2009 |
| 8 |
Hierarchical fuzzy models within the framework of orthonormal basis functions and their application to bioprocess control
Campello RJGB, Von Zuben FJ, Amaral WC, Meleiro LAC, Maciel R
Chemical Engineering Science, 58(18), 4259, 2003 |
| 9 |
A frequency-domain iterative identification algorithm using general orthonormal basis functions
Akcay H, Heuberger P
Automatica, 37(5), 663, 2001 |
| 10 |
A generalization of a standard inequality for Hardy space H-1
Akcay H
Automatica, 37(11), 1853, 2001 |
