| 1 |
Optimization of DEM parameters using multi-objective reinforcement learning
Westbrink F, Elbel A, Schwung A, Ding SX
Powder Technology, 379, 602, 2021 |
| 2 |
Membrane dehydration-enhanced esterification for biodiesel production from a potential feedstock of Firmiana platanifolia L.f. seed oil
Lv EM, Dou T, Ding SX, Lu J, Li Z, Yi WM, Li JX, Ding JC
Chemical Engineering Research & Design, 153, 1, 2020 |
| 3 |
Design of a Quantum Projection Filter
Gao Q, Dong DY, Petersen IR, Ding SX
IEEE Transactions on Automatic Control, 65(8), 3693, 2020 |
| 4 |
An H-i/H-infinity Optimization Approach to Event-Triggered Fault Detection for Linear Discrete Time Systems
Zhong MY, Ding SX, Zhou DH, He X
IEEE Transactions on Automatic Control, 65(10), 4464, 2020 |
| 5 |
Distributed data-driven optimal fault detection for large-scale systems
Li LL, Ding SX, Peng X
Journal of Process Control, 96, 94, 2020 |
| 6 |
A distribution independent data-driven design scheme of optimal dynamic fault detection systems
Xue T, Ding SX, Zhong MY, Li LL
Journal of Process Control, 95, 1, 2020 |
| 7 |
On robust Kalman filter for two-dimensional uncertain linear discrete time-varying systems: A least squares method
Zhao D, Ding SX, Karimi HR, Li YY, Wang YQ
Automatica, 99, 203, 2019 |
| 8 |
Performance-based fault detection and fault-tolerant control for automatic control systems
Li LL, Luo H, Ding SX, Yang Y, Peng KX
Automatica, 99, 308, 2019 |
| 9 |
Application of randomized algorithms to assessment and design of observer-based fault detection systems
Ding SX, Li LL, Kruger M
Automatica, 107, 175, 2019 |
| 10 |
Co-combustion of Municipal Sludge and Zhundong Coal: Ash Formation Characteristics
Kang ZZ, Su YF, Gao MD, Ding SX, Song QY, Sun BM
Combustion Science and Technology, 191(7), 1139, 2019 |
