| 1 |
Exploring the direct influence of control parameters of experimental facility for fuel cells based on improved generalized regression neural network
Li C, Pan MZ, Huang YT, Huang HZ, Lei H, Pan CJ, Wang QW
International Journal of Energy Research, 45(2), 3170, 2021 |
| 2 |
Ineffectiveness of optimization algorithms in building energy optimization and possible causes
Si BH, Tian ZC, Jin X, Zhou X, Shi X
Renewable Energy, 134, 1295, 2019 |
| 3 |
Generalized convergence conditions of the parameter adaptation algorithm in discrete-time recursive identification and adaptive control
Vau B, Bourles H
Automatica, 92, 109, 2018 |
| 4 |
Hardware in the loop test bench using Modelica: A platform to test and improve the control of heating systems
De La Cruz AT, Riviere P, Marchio D, Cauret O, Milu A
Applied Energy, 188, 107, 2017 |
| 5 |
Synchronization control in networks with uniform and distributed phase lag
Lohe MA
Automatica, 54, 114, 2015 |
| 6 |
Controllable fabrication of large-area 2D colloidal crystal masks with large size defect-free domains based on statistical experimental design
Cheng YJ, Jonsson PG, Zhao Z
Applied Surface Science, 313, 144, 2014 |
| 7 |
New indirect parameters for interpreting a destabilization episode in an anaerobic reactor
Fdez-Guelfo LA, Alvarez-Gallego C, Sales D, Romero LI
Chemical Engineering Journal, 180, 32, 2012 |
| 8 |
A systematic approach to the validation of process control parameters for monoclonal antibody production in fed-batch culture of a murine myeloma
Moran EB, McGowan ST, McGuire JM, Frankland JE, Oyebade IA, Waller W, Archer LC, Morris LO, Pandya J, Nathan SR, Smith L, Cadette ML, Michalowski JT
Biotechnology and Bioengineering, 69(3), 242, 2000 |
