| 1 |
Using normal probability plots to determine parameters for higher-level factorial experiments with orthogonal and orthonormal bases
Donnelly T, Shardt YAW
Canadian Journal of Chemical Engineering, 97(1), 152, 2019 |
| 2 |
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 |
| 3 |
Continuous-Time DC Kernel-A Stable Generalized First-Order Spline Kernel
Chen TS
IEEE Transactions on Automatic Control, 63(12), 4442, 2018 |
| 4 |
A Study on the Closed-Loop Performance in Extrapolated Regions of Operations of Nonlinear Systems Using Parallel OBF-NN Models
Zabiri H, Marappagounder R, Lemma TD
Journal of Chemical Engineering of Japan, 49(2), 176, 2016 |
| 5 |
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 |
| 6 |
Wiener system identification with generalized orthonormal basis functions
Tiels K, Schoukens J
Automatica, 50(12), 3147, 2014 |
| 7 |
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 |
| 8 |
Integrated OBF-NN models with enhanced extrapolation capability for nonlinear systems
Zabiri H, Ramasamy M, Tufa LD, Maulud A
Journal of Process Control, 23(10), 1562, 2013 |
| 9 |
Vectorial color
Worthey JA
Color Research and Application, 37(6), 394, 2012 |
| 10 |
Improved method for development of parsimonious orthonormal basis filter models
Tufa LD, Ramasamy M, Shuhaimi M
Journal of Process Control, 21(1), 36, 2011 |
