Contributed by Kay Tancock – k.tancock@elsevier.com
Control Engineering Practice
Volume 121 – April 2022
REGULAR PAPERS:
• Zheng Liu, Hong-Gui Han, Li-Xin Dong, Hong-Yan Yang, Jun-Fei Qiao, Intelligent decision method of sludge bulking using recursive kernel principal component analysis and Bayesian network, https://doi.org/10.1016/j.conengprac.2021.105038.
• Tiancheng Ouyang, Yucai Lu, Shuoyu Li, Rui Yang, Peihang Xu, Nan Chen, An improved smooth shift strategy for clutch mechanism of heavy tractor semi-trailer automatic transmission, https://doi.org/10.1016/j.conengprac.2021.105040.
• Qiang Liu, Bo Song, Xuecheng Ding, S. Joe Qin, Fault diagnosis of dynamic processes with reconstruction and magnitude profile estimation for an industrial application, https://doi.org/10.1016/j.conengprac.2021.105008.
• Vincent Mussot, Guillaume Mercère, Thibault Dairay, Vincent Arvis, Jérémy Vayssettes, Model learning of the tire–road friction slip dependency under standard driving conditions, https://doi.org/10.1016/j.conengprac.2021.105048.
• Junda Zhang, Jian Wu, Jianmin Liu, Qing Zhou, Jianwei Xia, Wei Sun, Xiangkun He, Command-filter-adaptive-based lateral motion control for autonomous vehicle, https://doi.org/10.1016/j.conengprac.2021.105044.
• Andreas Lundgren, Daniel Jung, Data-driven fault diagnosis analysis and open-set classification of time-series data, https://doi.org/10.1016/j.conengprac.2021.105006.
• Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen, Daniel G. McClement, Johan U. Backström, R. Bhushan Gopaluni, Deep reinforcement learning with shallow controllers: An experimental application to PID tuning, https://doi.org/10.1016/j.conengprac.2021.105046.
• ChangQing Jing, HongYu Shu, Ran Shu, Yitong Song, Integrated control of electric vehicles based on active front steering and model predictive control, https://doi.org/10.1016/j.conengprac.2022.105066.
• R. Donald Bartusiak, Stephen Bitar, David L. DeBari, Bradley G. Houk, Dennis Stevens, Bridget Fitzpatrick, Patrick Sloan, Open Process Automation: A standards-based, open, secure, interoperable process control architecture, https://doi.org/10.1016/j.conengprac.2021.105034.
• Long Chen, Bin Yan, Hai Wang, Ke Shao, Edi Kurniawan, Guangyi Wang, Extreme-learning-machine-based robust integral terminal sliding mode control of bicycle robot, https://doi.org/10.1016/j.conengprac.2022.105064.
• Maria Badar, Iftikhar Ahmad, Aneeque Ahmed Mir, Shahzad Ahmed, Adeel Waqas, An autonomous hybrid DC microgrid with ANN-fuzzy and adaptive terminal sliding mode multi-level control structure, https://doi.org/10.1016/j.conengprac.2021.105036.
• Thomas R. Nudell, Massimo Brignone, Michela Robba, Andrea Bonfiglio, Giulio Ferro, Federico Delfino, Anuradha M. Annaswamy, Distributed control for polygeneration microgrids: A Dynamic Market Mechanism approach, https://doi.org/10.1016/j.conengprac.2021.105052.
• Linhe Ge, Yang Zhao, Fangwu Ma, Konghui Guo, Towards longitudinal and lateral coupling control of autonomous vehicles using offset free MPC, https://doi.org/10.1016/j.conengprac.2022.105074.
• G. Stadler, A. Steinboeck, L. Marko, A. Deutschmann-Olek, A. Kugi, Iterative learning and feedback control for the curvature and contact force of a metal strip on a roll, https://doi.org/10.1016/j.conengprac.2022.105071.
• Zhengxi Chen, Shen Xun, Hybrid automaton-based disturbance-aware predictive control with receding horizon optimization for three-phase full-bridge inverters, https://doi.org/10.1016/j.conengprac.2021.104984.
• Adel A. Abou El-Ela, Ragab A. El-Sehiemy, Abdullah M. Shaheen, Abd El-Gelil Diab, Design of cascaded controller based on coyote optimizer for load frequency control in multi-area power systems with renewable sources, https://doi.org/10.1016/j.conengprac.2021.105058.
• Bangwu Dai, Fuli Wang, Yuqing Chang, Multi-objective economic load dispatch method based on data mining technology for large coal-fired power plants, https://doi.org/10.1016/j.conengprac.2021.105018.
• Shams Elnawawi, Lim C. Siang, Daniel L. O’Connor, R. Bhushan Gopaluni, Interactive visualization for diagnosis of industrial Model Predictive Controllers with steady-state optimizers, https://doi.org/10.1016/j.conengprac.2021.105056.
• Salim Vargas, Héctor M. Becerra, Jean-Bernard Hayet, MPC-based distributed formation control of multiple quadcopters with obstacle avoidance and connectivity maintenance, https://doi.org/10.1016/j.conengprac.2021.105054.
Virtual special issue on Recent Advances on Intelligent Control of Autonomous Systems
• Jianglong Yu, Xiwang Dong, Qingdong Li, Jinhu Lü, Zhang Ren, Task coupling based layered cooperative guidance: Theories and applications, https://doi.org/10.1016/j.conengprac.2021.105050.
• Saleh Albeaik, Trevor Wu, Ganeshnikhil Vurimi, Fang-Chieh Chou, Xiao-Yun Lu, Alexandre M. Bayen, Deep truck cruise control: Field experiments and validation of heavy duty truck cruise control using deep reinforcement learning, https://doi.org/10.1016/j.conengprac.2021.105026.
Virtual special issue on Machine Learning in CEP
• Uwe Kruger, Xun Wang, Mark J. Embrechts, Ali Almansoori, Juergen Hahn, Regularized error-in-variable estimation for big data modeling and process analytics, https://doi.org/10.1016/j.conengprac.2021.105060.
Virtual special issue on Emerging Leaders in CEP
• Yi Jiang, Weinan Gao, Jing Na, Di Zhang, Timo T. Hämäläinen, Vladimir Stojanovic, Frank L. Lewis, Value iteration and adaptive optimal output regulation with assured convergence rate, https://doi.org/10.1016/j.conengprac.2021.105042.
