| 1 |
Non-stationary luminescent methods for studying the interaction of hydrogen atomic with ZnS:Tm3+ surface
Tyurin YI, Wang Y, Nikitenkov NN, Shigalugov SH, Sypchenko VS
International Journal of Hydrogen Energy, 45(18), 10826, 2020 |
| 2 |
Fast tunable gradient RBF networks for online modeling of nonlinear and nonstationary dynamic processes
Liu T, Chen S, Liang S, Du DJ, Harris CJ
Journal of Process Control, 93, 53, 2020 |
| 3 |
Recursive cointegration analytics for adaptive monitoring of nonstationary industrial processes with both static and dynamic variations
Yu WK, Zhao CH, Huang B
Journal of Process Control, 92, 319, 2020 |
| 4 |
Modeling of the Thermal Decomposition of Methane and the Formation of Solid Carbon Particles
Kudinov IV, Pimenov AA, Mikheeva GV
Petroleum Chemistry, 60(11), 1239, 2020 |
| 5 |
Recursive NARX model identification of nonlinear chemical processes with matrix invertibility analysis
Dong JF
Computers & Chemical Engineering, 121, 574, 2019 |
| 6 |
Lattice-Filter-Based Multivariate Autoregressive Spectral Estimation With Joint Model Order and Estimation Bandwidth Adaptation
Niedzwiecki M, Meller M, Chojnacki D
IEEE Transactions on Automatic Control, 64(12), 4968, 2019 |
| 7 |
A Full-Condition Monitoring Method for Nonstationary Dynamic Chemical Processes with Cointegration and Slow Feature Analysis
Zhao CH, Huang B
AIChE Journal, 64(5), 1662, 2018 |
| 8 |
Nonstationary models for liquid crystals: A fresh mathematical perspective
Emmrich E, Klapp SHL, Lasarzik R
Journal of Non-Newtonian Fluid Mechanics, 259, 32, 2018 |
| 9 |
Modeling of nonstationary processes during separation of multicomponent isotope mixtures
Orlov AA, Ushakov AA, Sovach VP, Mymrina DF
Separation Science and Technology, 53(5), 796, 2018 |
| 10 |
On adaptive covariance and spectrum estimation of locally stationary multivariate processes
Niedzwiecki M, Ciolek M, Kajikawa Y
Automatica, 82, 1, 2017 |
