Contributed by Kay Tancock, k.tancock@elsevier.com
Regular Articles
• Lloyd MacKinnon, Praveen Sundaresan Ramesh, Prashant Mhaskar, Christopher L.E. Swartz, Dynamic real-time optimization for nonlinear systems with Lyapunov stabilizing MPC, https://doi.org/10.1016/j.jprocont.2022.03.009
• Marzieh Hosseini, Anna Kaasinen, Guido Link Mahdi, Aliyari Shoorehdeli, Timo Lähivaara, Marko Vauhkonen, Tomography-assisted control for the microwave drying process of polymer foams, https://doi.org/10.1016/j.jprocont.2022.03.011
• Xiaogang Deng, Xiaoyue Liu, Yuping Cao, Lin Cong, Zhe Li, Incipient fault detection for dynamic chemical processes based on enhanced CVDA integrated with probability information and fault-sensitive features, https://doi.org/10.1016/j.jprocont.2022.04.001
• Carsten Seidel, Robert Dürr, Andreas Bück, Robust multi-variable control of continuous yeast drying, https://doi.org/10.1016/j.jprocont.2022.04.004
• L. Ziolkowski, J.D. le Roux, I.K. Craig, Extremum seeking control for optimization of an open-loop grinding mill using grind curves, https://doi.org/10.1016/j.jprocont.2022.04.005
• Christopher Pietschnig, Andreas Steinboeck, Andreas Kugi, Are edger rolls useful to control the plate motion and camber in a reversing rolling mill?, https://doi.org/10.1016/j.jprocont.2022.04.007
• Thobeka Mkwananzi, Tobi M. Louw, Lidia Auret, Mohsen Mandegari, Johann F. Görgens, Combined optimal sensor network design and self-optimizing control with application in a typical sugarcane mill, https://doi.org/10.1016/j.jprocont.2022.04.003
• Shumei Zhang, Sijia Wang, Spectral radius-based interval principal component analysis (SR-IPCA) for fault detection in industrial processes with imprecise data, https://doi.org/10.1016/j.jprocont.2022.04.010
• Mohsen Asaadi, Iman Izadi, Amin Hassanzadeh, Fan Yang, Assessment of alarm systems for mixture processes and intermittent faults, https://doi.org/10.1016/j.jprocont.2022.04.002
• Jesús David Avilés, Ixbalank Torres-Zúñiga, Alberto Villa-Leyva, Alejandro Vargas, Germán Buitrón, Experimental validation of an interval observer-based sensor fault detection strategy applied to a biohydrogen production dark fermenter, https://doi.org/10.1016/j.jprocont.2022.04.012
Selected Papers from the 11th IFAC SYMPOSIUM on Advanced Control of Chemical Processes, June 13–16 2021, Venice, Italy
• Fabio Bonassi, Marcello Farina, Jing Xie, Riccardo Scattolini, On Recurrent Neural Networks for learning-based control: Recent results and ideas for future developments, https://doi.org/10.1016/j.jprocont.2022.04.011