Contributed by Kay Tancock, k.tancock@elsevier.com
Journal of Process Control
Volume 104, August 2021
• Bhagyashri Gurjar, Vinita Chaudhari, Shailaja Kurode, Parameter estimation based robust liquid level control of quadruple tank system — Second order sliding mode approach, https://doi.org/10.1016/j.jprocont.2021.05.009
• Nitin Kaistha, Liquid level control in a recycle loop, https://doi.org/10.1016/j.jprocont.2021.05.014
• Yousef Alipouri, Alireza Kheradmand, Biao Huang, Data-driven multi-model minimum variance controller design based on support vectors, https://doi.org/10.1016/j.jprocont.2021.05.013
• Xiaoxiao Lv, Long Feng, Hanxiang Wang, Yanxin Liu, Bingyu Sun, Quantitative diagnosis method of the sucker rod pump system based on the fault mechanism and inversion algorithm, https://doi.org/10.1016/j.jprocont.2021.06.001
• Keke Huang, Shujie Wu, Yonggang Li, Chunhua Yang, Weihua Gui, A multi-rate sampling data fusion method for fault diagnosis and its industrial applications, https://doi.org/10.1016/j.jprocont.2021.06.003
• Pascal Jerono, Alexander Schaum, Thomas Meurer, Observability analysis and robust observer design for a continuous yeast culture, https://doi.org/10.1016/j.jprocont.2021.05.012
• Jun-Chao Ren, Ding Liu, Yin Wan, Modeling and application of Czochralski silicon single crystal growth process using hybrid model of data-driven and mechanism-based methodologies, https://doi.org/10.1016/j.jprocont.2021.06.002
• Oguzhan Dogru, Nathan Wieczorek, Kirubakaran Velswamy, Fadi Ibrahim, Biao Huang, Online reinforcement learning for a continuous space system with experimental validation, https://doi.org/10.1016/j.jprocont.2021.06.004
• Ali Shokrollahi, Saeed Shamaghdari, Robust H∞ model predictive control for constrained Lipschitz non-linear systems, https://doi.org/10.1016/j.jprocont.2021.06.007
• Lisbel Bárzaga-Martell, Manuel A. Duarte-Mermoud, Francisco Ibáñez-Espinel, Bastián Gamboa-Labbé, Pedro A. Saa, José Ricardo Pérez-Correa, A robust hybrid observer for monitoring high-cell density cultures exhibiting overflow metabolism, https://doi.org/10.1016/j.jprocont.2021.06.006
• Jichao Wang, Xin Zhang, Jianxiong Ye, Juan Wang, Enmin Feng, Optimizing design for continuous conversion of glycerol to 1,3-propanediol using discrete-valued optimal control, https://doi.org/10.1016/j.jprocont.2021.06.010
• Davood B. Pourkargar, Antonios Armaou, Lyapunov based on-line model reduction and control of semilinear dissipative distributed parameter systems with minimum feedback information, https://doi.org/10.1016/j.jprocont.2021.05.011
• Qiugang Lu, Victor M. Zavala, Image-based model predictive control via dynamic mode decomposition, https://doi.org/10.1016/j.jprocont.2021.06.009
• Yuan Xu, Kaiduo Cong, Qunxiong Zhu, Yanlin He, A novel AdaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition, https://doi.org/10.1016/j.jprocont.2021.07.004
• U. Knechtelsdorfer, A. Steinboeck, F. Schausberger, A. Kugi, A novel mass flow controller for tandem hot rolling mills, https://doi.org/10.1016/j.jprocont.2021.07.002
• Xinwen Li, Yingchun Wu, Huafeng Chen, Xijiong Chen, Yonggang Zhou, Xuecheng Wu, Linghong Chen, Kefa Cen, Coal mill model considering heat transfer effect on mass equations with estimation of moisture, https://doi.org/10.1016/j.jprocont.2021.06.008
