Contributed by Kay Tancock, k.tancock@elsevier.com
Journal of Process Control
Volume 101, May 2021
• Xiaoyu Zou, Fuli Wang, Jie Pan, 3-D online modeling and assessment of operating performance for nonstationary industrial processes with nonlinearity
• Fei Chu, Jiachen Wang, Xu Zhao, Shuning Zhang, ... Gang Xiong, Transfer learning for nonlinear batch process operation optimization
• Yanxia Li, Yi Chai, Hongpeng Yin, Autoencoder embedded dictionary learning for nonlinear industrial process fault diagnosis
• Adrian Caspari, Hatim Djelassi, Adel Mhamdi, Lorenz T. Biegler, Alexander Mitsos, Semi-infinite programming yields optimal disturbance model for offset-free nonlinear model predictive control
• Burak Alakent, Soft-sensor design via task transferred just-in-time-learning coupled transductive moving window learner
• Ying Zheng, Wei Zhou, Weidong Yang, Lang Liu, ... Yong Zhang, Multivariate/minor fault diagnosis with severity level based on Bayesian decision theory and multidimensional RBC
• Jie Wang, Chunhui Zhao, A probabilistic framework with concurrent analytics of Gaussian process regression and classification for multivariate control performance assessment
