| 1 |
Entwicklung von Echtzeitmodellen fur Kreislaufprozesse der chemischen AbsorptionDevelopment of Real-Time Models for Chemical Absorption/Desorption Loops
Fedorov A, Frei H, Bothe M, Lutters N, Kenig EY
Chemie Ingenieur Technik, 92(12), 1962, 2020 |
| 2 |
Application of Kalman filter to determination of coal liquefaction mechanisms using discrete time models
Simsek EH, Gulec F, Kavustu H
Fuel, 207, 814, 2017 |
| 3 |
Inventory pinch gasoline blend scheduling algorithm combining discrete-and continuous-time models
Castillo-Castillo PA, Mahalec V
Computers & Chemical Engineering, 84, 611, 2016 |
| 4 |
A fractal time thermal model for predicting the surface temperature of air-cooled cylindrical Li-ion cells based on experimental measurements
Reyes-Marambio J, Moser F, Gana F, Severino B, Calderon-Munoz WR, Palma-Behnke R, Estevez PA, Orchard M, Cortes M
Journal of Power Sources, 306, 636, 2016 |
| 5 |
Optimization of steel production scheduling with complex time-sensitive electricity cost
Hadera H, Harjunkoski I, Sand G, Grossmann IE, Engell S
Computers & Chemical Engineering, 76, 117, 2015 |
| 6 |
Robust identification of continuous-time models with arbitrary time-delay from irregularly sampled data
Chen FW, Garnier H, Gilson M
Journal of Process Control, 25, 19, 2015 |
| 7 |
Parameter and differentiation order estimation in fractional models
Victor S, Malti R, Garnier H, Oustaloup A
Automatica, 49(4), 926, 2013 |
| 8 |
Theoretical justification of approximate norm minimization method for intelligent digital redesign
Kim DW, Park JB, Joo YH
Automatica, 44(3), 851, 2008 |
| 9 |
An improved bias-compensation approach for errors-in-variables model identification
Mahata K
Automatica, 43(8), 1339, 2007 |
| 10 |
Identification of continuous-time errors-in-variables models
Mahata K, Garnier H
Automatica, 42(9), 1477, 2006 |
