| 1 |
Internal Model Based Smooth Transition of a Three-Phase Inverter Between Islanded and Grid-Connected Modes
Yazdani S, Ferdowsi M, Shamsi P
IEEE Transactions on Energy Conversion, 35(1), 405, 2020 |
| 2 |
Multiple model adaptive control for a class of nonlinear systems with unknown control directions
Huang M, Wang X, Lu ZM, Ma LH, Su HY, Wang L
International Journal of Control, 92(9), 2064, 2019 |
| 3 |
A review of the Expectation Maximization algorithm in data-driven process identification
Sammaknejad N, Zhao YJ, Huang B
Journal of Process Control, 73, 123, 2019 |
| 4 |
A multiple model adaptive inverse method for nonlinear heat transfer system with temperature-dependent thermophysical properties
Wang GJ, Lv C, Chen H, Wan SB, Zhang DQ
International Journal of Heat and Mass Transfer, 118, 847, 2018 |
| 5 |
Nonlinear process identification in the presence of multiple correlated hidden scheduling variables with missing data
Chen L, Khatibisepehr S, Huang B, Liu F, Ding YS
AIChE Journal, 61(10), 3270, 2015 |
| 6 |
Multiple Model Adaptive Control for a Class of Linear-Bounded Nonlinear Systems
Huang M, Wang X, Wang ZL
IEEE Transactions on Automatic Control, 60(1), 271, 2015 |
| 7 |
Probabilistic multiple model neural network based leak detection system: Experimental study
Abdulla MB, Herzallah R
Journal of Loss Prevention in The Process Industries, 36, 30, 2015 |
| 8 |
Improved adaptive state-of-charge estimation for batteries using a multi-model approach
Fang HZ, Zhao X, Wang YB, Sahinoglu Z, Wada T, Hara S, de Callafon RA
Journal of Power Sources, 254, 258, 2014 |
| 9 |
Multiple model approach to nonlinear system identification with an uncertain scheduling variable using EM algorithm
Chen L, Tulsyan A, Huang B, Liu F
Journal of Process Control, 23(10), 1480, 2013 |
| 10 |
New Concepts in Adaptive Control Using Multiple Models
Han Z, Narendra KS
IEEE Transactions on Automatic Control, 57(1), 78, 2012 |
