| 61 |
Design of a self-tuning adaptive model predictive controller using recursive model parameter estimation for real-time plasma variable control
Koo J, Park D, Ryu S, Kim GH, Lee YW
Computers & Chemical Engineering, 123, 126, 2019 |
| 62 |
A framework for model reliability and estimability analysis of crystallization processes with multi-impurity multi-dimensional population balance models
Fysikopoulos D, Benyahia B, Borsos A, Nagy ZK, Rielly CD
Computers & Chemical Engineering, 122, 275, 2019 |
| 63 |
Efficient online model-based design of experiments via parameter subset selection for batch dynamical systems
Kim JH, Lee JM
Computers & Chemical Engineering, 121, 646, 2019 |
| 64 |
Automated learning of chemical reaction networks
Wilson ZT, Sahinidis NV
Computers & Chemical Engineering, 127, 88, 2019 |
| 65 |
Parameter estimation of proton exchange membrane fuel cells using eagle strategy based on JAYA algorithm and Nelder-Mead simplex method
Xu SH, Wang Y, Wang Z
Energy, 173, 457, 2019 |
| 66 |
Coupled POD-Bayesian estimation of the parameters of mathematical model of the packed-bed drying of cherry stones
Bulinski Z, Orlande HRB, Krysinski T, Werle S, Ziolkowski L
Energy, 181, 345, 2019 |
| 67 |
Parameter estimation for externally simulated thermal network models
Brastein OM, Lie B, Sharma R, Skeie NO
Energy and Buildings, 191, 200, 2019 |
| 68 |
Collaborative swarm intelligence to estimate PV parameters
Nunes HGG, Pombo JAN, Bento PMR, Mariano SJPS, Calado MRA
Energy Conversion and Management, 185, 866, 2019 |
| 69 |
A novel approach to parameter estimation of photovoltaic systems using hybridized optimizer
Kler D, Goswami Y, Rana KPS, Kumar V
Energy Conversion and Management, 187, 486, 2019 |
| 70 |
An opposition-based sine cosine approach with local search for parameter estimation of photovoltaic models
Chen HL, Jiao S, Heidari AA, Wang MJ, Chen X, Zhao XH
Energy Conversion and Management, 195, 927, 2019 |
