1 - 14 |
Modified non-Gaussian multivariate statistical process monitoring based on the Gaussian distribution transformation Du WY, Zhang YW, Zhou W |
15 - 29 |
Advanced-step multistage nonlinear model predictive control: Robustness and stability Yu Z, Siegler LT |
30 - 40 |
Online reduced gaussian process regression based generalized likelihood ratio test for fault detection Fezai R, Mansouri M, Abodayeh K, Nounou H, Nounou M |
41 - 51 |
Integrated predictive iterative learning control based on updating reference trajectory for point-to-point tracking Qiu WW, Xiong ZH, Zhang J, Hong YD, Li WZ |
52 - 64 |
Streaming parallel variational Bayesian supervised factor analysis for adaptive soft sensor modeling with big process data Yang ZY, Yao L, Ge ZQ |
65 - 75 |
Reset observer-based fault tolerant control for a class of fuzzy nonlinear time-delay systems Pourdehi S, Karimaghaee P |
76 - 90 |
Adaptive UKF-based model predictive control of a Fresnel collector field Gallego AJ, Sanchez AJ, Berenguel M, Camacho EF |
91 - 99 |
Data supplement for a soft sensor using a new generative model based on a variational autoencoder and Wasserstein GAN Wang X, Liu H |
100 - 111 |
Subspace model identification under load disturbance with unknown transient and periodic dynamics Liu T, Hou J, Qin SJ, Wang W |
112 - 120 |
An approach of dynamic sliding mode control for chemical processes Herrera M, Camacho O, Leiva H, Smith C |
121 - 135 |
About frame estimation of growth functions and robust prediction in bioprocess modeling Krichen E, Rapaport A, Fouilland E |
136 - 148 |
An integrated robust iterative learning control strategy for batch processes based on 2D system Zhou LM, Jia L, Wang YL, Peng DG, Tan WD |
149 - 158 |
MRS-kNN fault detection method for multirate sampling process based variable grouping threshold Feng J, Li KQ |
159 - 172 |
A multi-feature extraction technique based on principal component analysis for nonlinear dynamic process monitoring Guo LL, Wu P, Lou SW, Gao JF, Liu YC |
173 - 183 |
An incipient fault detection and self-learning identification method based on robust SVDD and RBM-PNN Zhang CF, Peng KX, Dong J |
184 - 198 |
Multiphase two-dimensional time-slice dynamic system for batch process monitoring Zhu JL, Yao Y, Gao FR |
199 - 213 |
A sparse loading-based contribution method for multivariate control performance diagnosis Wang K, Chen JH, Song ZH |
214 - 226 |
Design of state and output feedback pole placement controller in the presence of slow-rate integrated measurement Khosro ER, Fatehi A |
227 - 243 |
Real-time estimation of a multi-stage centrifugal compressor performance map considering real-gas processes and flexible operation Gentsch M, King R |