Contributed by Kay Tancock, k.tancock@elsevier.com
Journal of Process Control
Volume 106, October 2021
• Pedro de Azevedo Delou, Rodrigo Curvelo, Maurício B. de Souza, Argimiro Resende Secchi, Steady-state real-time optimization using transient measurements in the absence of a dynamic mechanistic model: A framework of HRTO integrated with Adaptive Self-Optimizing IHMPC, https://doi.org/10.1016/j.jprocont.2021.08.013
• Wanke Yu, Min Wu, Chengda Lu, Meticulous process monitoring with multiscale convolutional feature extraction, https://doi.org/10.1016/j.jprocont.2021.08.014
• Maksim V. Faronov, Ilia G. Polushin, Observer-based control of vertical penetration rate in rotary drilling systems, https://doi.org/10.1016/j.jprocont.2021.08.016
• Kailong Zhou, Xin Chen, Min Wu, Yosuke Nakanishi, Weihua Cao, Jie Hu, A novel performance assessment method of the carbon efficiency for iron ore sintering process, https://doi.org/10.1016/j.jprocont.2021.08.011
• Mohammad Amin Sheikhi, Ali Khaki-Sedigh, Amirhossein Nikoofard, Design of nonlinear predictive generalized minimum variance control for performance monitoring of nonlinear control systems, https://doi.org/10.1016/j.jprocont.2021.08.009
• Julian Hofmann, Anton Ponomarev, Veit Hagenmeyer, Lutz Gröll, A new multivariable control concept for the falling film evaporator process, https://doi.org/10.1016/j.jprocont.2021.08.015
• Xinjiang Lu, Bowen Xu, Pingzhong He, A novel low-order spatiotemporal modeling method for nonlinear distributed parameter systems, https://doi.org/10.1016/j.jprocont.2021.08.010
• Oswaldo Andrés-Martínez, Luis A. Ricardez-Sandoval, A switched system formulation for optimal integration of scheduling and control in multi-product continuous processes, https://doi.org/10.1016/j.jprocont.2021.08.017
• Chenghong Huang, Yi Chai, Bowen Liu, Qiu Tang, Fei Qi, Industrial process fault detection based on KGLPP model with Cam weighted distance, https://doi.org/10.1016/j.jprocont.2021.09.004
• Yun Zhu, Wengang Yan, Yucai Zhu, MPC closed-loop identification without excitation, https://doi.org/10.1016/j.jprocont.2021.08.018
• Ziqing Deng, Xiaofang Chen, Shiwen Xie, Yongfang Xie, Yubo Sun, Distributed process monitoring based on joint mutual information and projective dictionary pair learning, https://doi.org/10.1016/j.jprocont.2021.09.002
• Rute Souza de Abreu, Yuri Thomas Nunes, Luiz Affonso Guedes, Ivanovitch Silva, A method for detecting causal relationships between industrial alarm variables using Transfer Entropy and K2 algorithm, https://doi.org/10.1016/j.jprocont.2021.09.001
• Ahmed Elkhashap, Daniel Rüschen, Dirk Abel, Distributed parameter modeling of fluid transmission lines, https://doi.org/10.1016/j.jprocont.2021.09.003
• Thobeka Mkwananzi, Mohsen Mandegari, Tobias M. Louw, Lidia Auret, Johann F. Görgens, Set-point optimization for plant-wide control of a sugarcane mill under process and market prices disturbances: Energy and economic perspectives, https://doi.org/10.1016/j.jprocont.2021.09.011
• Wenqing Li, Yue Wang, A robust supervised subspace learning approach for output-relevant prediction and detection against outliers, https://doi.org/10.1016/j.jprocont.2021.09.007
• Andrea Tuveri, Fernando Pérez-García, Pedro A. Lira-Parada, Lars Imsland, Nadav Bar, Sensor fusion based on Extended and Unscented Kalman Filter for bioprocess monitoring, https://doi.org/10.1016/j.jprocont.2021.09.005
• Jeremiah Corrigan, Jie Zhang, Developing accurate data-driven soft-sensors through integrating dynamic kernel slow feature analysis with neural networks, https://doi.org/10.1016/j.jprocont.2021.09.006
• Qiu Tang, Yan Liu, Yi Chai, Chenghong Huang, Bowen Liu, Dynamic process monitoring based on canonical global and local preserving projection analysis, https://doi.org/10.1016/j.jprocont.2021.09.009
