1 - 6 |
Kernel approaches for fault detection and classification in PARR-2 Jamil F, Abid M, Adil M, Nag I, Khan AQ, Khan SF |
7 - 14 |
Network decomposition for distributed control through community detection in input-output bipartite graphs Tang WT, Daoutidis P |
15 - 26 |
An approximate dynamic programming method for the optimal control of Alkai-Surfactant-Polymer flooding Ge YL, Li SR, Chan P |
27 - 36 |
Glucose-insulin model identified in free-living conditions for hypoglycaemia prevention Toffanin C, Del Favero S, Aiello EM, Messori M, Cobelli C, Magni L |
37 - 48 |
Sensor fault detection and isolation of an industrial gas turbine using partial adaptive KPCA Navi M, Meskin N, Davoodi M |
49 - 61 |
Automated feature learning for nonlinear process monitoring - An approach using stacked denoising autoencoder and k-nearest neighbor rule Zhang ZH, Jiang T, Li SH, Yang YP |
62 - 70 |
Weighted random forests for fault classification in industrial processes with hierarchical clustering model selection Liu Y, Ge ZQ |
71 - 88 |
Start-up improvement of a supplementary-fired large combined-cycle power plant Alobaid F |
89 - 99 |
A robust LQR-MPC control strategy with input constraints and control zones Capron BDO, Odloak D |
100 - 111 |
Optimization-based feedforward control of the strip thickness profile in hot strip rolling Prinz K, Steinboeck A, Kugi A |
112 - 122 |
Isolating incipient sensor fault based on recursive transformed component statistical analysis Shang J, Chen MY, Ji HQ, Zhou DH |
123 - 131 |
Semisupervised learning for probabilistic partial least squares regression model and soft sensor application Zheng JH, Song ZH |
132 - 140 |
Flatness-based feedforward control design and two-degrees-of-freedom tracking control for semilinear plug flow reactors Wagner MO, Meurer T |
141 - 151 |
Model predictive control of partially fading memory systems with binary inputs Salvador JR, Alamo T, Ramirez DR, de la Pena DM |