| 1 |
Misspecified and Asymptotically Minimax Robust Quickest Change Diagnosis
Molloy TL
IEEE Transactions on Automatic Control, 66(2), 857, 2021 |
| 2 |
Unsupervised isolation of abnormal process variables using sparse autoencoders
Hallgrimsson AD, Niemann HH, Lind M
Journal of Process Control, 99, 107, 2021 |
| 3 |
Data-driven fault detection for chemical processes using autoencoder with data augmentation
Lee HD, Kim CS, Jeong DH, Lee JM
Korean Journal of Chemical Engineering, 38(12), 2406, 2021 |
| 4 |
Sensor selection for fault diagnosis in uncertain systems
Jung D, Dong Y, Frisk E, Krysander M, Biswas G
International Journal of Control, 93(3), 629, 2020 |
| 5 |
Fault detection and isolation for discrete-time descriptor systems based onH(-)/L(infinity)observer and zonotopic residual evaluation
Tang WT, Wang ZH, Shen Y
International Journal of Control, 93(8), 1867, 2020 |
| 6 |
Fault handling in large water networks with online dictionary learning
Irofti P, Stoican F, Puig V
Journal of Process Control, 94, 46, 2020 |
| 7 |
Handling sensor faults in economic model predictive control of batch processes
Rashid MM, Patel N, Mhaskar P, Swartz CLE
AIChE Journal, 65(2), 617, 2019 |
| 8 |
Estimating unbounded unknown inputs in nonlinear systems
Chakrabarty A, Corless M
Automatica, 104, 57, 2019 |
| 9 |
Asymptotic behavior of a fault diagnosis performance measure for linear systems
Aslund J, Frisk E, Jung D
Automatica, 106, 143, 2019 |
| 10 |
An efficient polynomial chaos expansion strategy for active fault identification of chemical processes
Schenkendorf R, Xie XZ, Krewer U
Computers & Chemical Engineering, 122, 228, 2019 |
