Contributed by Kay Tancock – k.tancock@elsevier.com
Control Engineering Practice
Volume 120 – March 2022
REGULAR PAPERS:
• Franz Aubeck, Martin Lenz, Simon Mertes, Kevin Zylka, Stefan Pischinger, Generic stochastic particle filter algorithm for predictive energy optimization of a Plug-in Hybrid Electric Vehicle extended by a battery temperature control and implemented on a Hardware-in-the-Loop system, https://doi.org/10.1016/j.conengprac.2021.105002.
• Giacomo Galuppini, Enrico Creaco, Lalo Magni, The in situ approach to model identification and control design for pressure regulation in Water Distribution Networks: An in silico evaluation, https://doi.org/10.1016/j.conengprac.2021.105016.
• Michael Wohlthan, Doris Schadler, Gerhard Pirker, Andreas Wimmer, A fault model extension for a geometric fault isolation methodology to detect leakages and sensor faults on engine test beds, https://doi.org/10.1016/j.conengprac.2021.105020.
• Fabrício Leonardo Silva, Ludmila C.A. Silva, Jony J. Eckert, Rodrigo Y. Yamashita, Maria A.M. Lourenço, Parameter influence analysis in an optimized fuzzy stability control for a four-wheel independent-drive electric vehicle, https://doi.org/10.1016/j.conengprac.2021.105000.
• Lucas C. Borin, Caio R.D. Osório, Gustavo G. Koch, Ricardo C.L.F. Oliveira, Vinícius F. Montagner, Robust Control of GTIs under wide grid impedance ranges: An approach combining metaheuristics and LMIs, https://doi.org/10.1016/j.conengprac.2021.105010.
• Florian Pöschke, Vlaho Petrović, Frederik Berger, Lars Neuhaus, Michael Hölling, Martin Kühn, Horst Schulte, Model-based wind turbine control design with power tracking capability: A wind-tunnel validation, https://doi.org/10.1016/j.conengprac.2021.105014.
• Md Rezwan Parvez, Wenkai Hu, Tongwen Chen, Real-time pattern matching and ranking for early prediction of industrial alarm floods, https://doi.org/10.1016/j.conengprac.2021.105004.
• R. Keller, E. Rauls, M. Hehemann, M. Müller, M. Carmo, An adaptive model-based feedforward temperature control of a 100 kW PEM electrolyzer, https://doi.org/10.1016/j.conengprac.2021.104992.
• Tie Zhang, Xiaohong Liang, Yanbiao Zou, Robot peg-in-hole assembly based on contact force estimation compensated by convolutional neural network, https://doi.org/10.1016/j.conengprac.2021.105012.
• Andreas B. Martinsen, Anastasios M. Lekkas, Sébastien Gros, Reinforcement learning-based NMPC for tracking control of ASVs: Theory and experiments, https://doi.org/10.1016/j.conengprac.2021.105024.
Virtual Special Section on Machine Learning and Advanced Data Analytics in Control Engineering Practice; Edited by Aditya Tulsyan, Manabu Kano, Margret Bauer and Zhiqiang Ge:
• Christophe Lin-Kwong-Chon, Cédric Damour, Michel Benne, Jean-Jacques Amangoua Kadjo, Brigitte Grondin-Pérez, Adaptive neural control of PEMFC system based on data-driven and reinforcement learning approaches, https://doi.org/10.1016/j.conengprac.2021.105022.
