| 1 - 14 |
Optimal false alarm controlled support vector data description for multivariate process monitoring
Kim Y, Kim SB |
| 15 - 33 |
Data-driven compensation method for sensor drift faults in digital PID systems with unknown dynamics
Wang JS, Yang GH |
| 34 - 40 |
Statistical process monitoring based on nonlocal and multiple neighborhoods preserving embedding model
Tong CD, Lan T, Shi XH, Chen YW |
| 41 - 55 |
Model predictive control of a dynamic nonlinear PDE system with application to continuous casting
Yu Y, Luo XC, Liu Q |
| 56 - 67 |
A multi-way LPV modeling method for batch processes
Zhao ZG, Wang YQ, Liu F |
| 68 - 77 |
Real-time algorithm for self-reflective model predictive control
Feng XH, Houska B |
| 78 - 83 |
Finite dimensional models of the hydraulic hammer effect and solar tower control
Igreja JM, Marakkos C, Lemos JM |
| 84 - 90 |
Conversion of SISO processes with multiple time-delays to single time-delay processes
Luan XL, Chen Q, Albertos P, Liu F |
| 91 - 106 |
Large-scale plant-wide process modeling and hierarchical monitoring: A distributed Bayesian network approach
Zhu JL, Ge ZQ, Song ZH, Zhou L, Chen GJ |
| 107 - 117 |
Distributed predictive modeling framework for prediction and diagnosis of key performance index in plant-wide processes
Ge ZQ |
