1 |
Optimal input design for system identification using spectral decomposition Mohan S, Mithun IM, Bhikkaji B International Journal of Control, 93(4), 980, 2020 |
2 |
Application of Iterative Robust Model-Based Optimal Experimental Design for the Calibration of Biocatalytic Models Van Daele T, Gernaey KV, Ringborg RH, Borner T, Heintz S, Van Hauwermeiren D, Grey C, Kruhne U, Adlercreutz P, Nopens I Biotechnology Progress, 33(5), 1278, 2017 |
3 |
Implementation of reduced-order physics-based model and multi parameters identification strategy for lithium-ion battery Deng ZW, Deng H, Yang L, Cai YS, Zhao XW Energy, 138, 509, 2017 |
4 |
Mean-squared-error-based method for parameter ranking and selection with noninvertible fisher information matrix Eghtesadi Z, McAuley KB AIChE Journal, 62(4), 1112, 2016 |
5 |
Investigating the kinetics of autotrophic denitrification with thiosulfate: Modeling the denitritation mechanisms and the effect of the acclimation of SO-NR cultures to nitrite Mora M, Dorado AD, Gamisans X, Gabriel D Chemical Engineering Journal, 262, 235, 2015 |
6 |
Robust distributed maximum likelihood estimation with dependent quantized data Shen XJ, Varshney PK, Zhu YM Automatica, 50(1), 169, 2014 |
7 |
Robustifying optimal experiment design for nonlinear, dynamic (bio)chemical systems Telen D, Vercammen D, Logist F, Van Impe J Computers & Chemical Engineering, 71, 415, 2014 |
8 |
Fisher information matrix based time-series segmentation of process data Dobos L, Abonyi J Chemical Engineering Science, 101, 99, 2013 |
9 |
Optimal sensor placement for target localisation and tracking in 2D and 3D Zhao SY, Chen BM, Lee TH International Journal of Control, 86(10), 1687, 2013 |
10 |
Modelling enhanced groundwater denitrification in batch micrococosm tests Calderer M, Jubany I, Perez R, Marti V, de Pablo J Chemical Engineering Journal, 165(1), 2, 2010 |