Contributed by Kay Tancock, k.tancock@elsevier.com
Control Engineering Practice
Volume 110, May 2021
Regular Papers
• Vahab Nekoukar, Nima Mahdian Dehkordi, Robust path tracking of a quadrotor using adaptive fuzzy terminal sliding mode control
• Lukas Bergmann, Steffen Leonhardt, Dietmar Greven, Berno J.E. Misgeld, Optimal assistive control of a pedal-electric drive unit
• Iman Shafikhani, Jan Å slund, Energy management of hybrid electric vehicles with battery aging considerations: Wheel loader case study
• Stelios G. Vrachimis, Stelios Timotheou, Demetrios G. Eliades, Marios M. Polycarpou, Leakage detection and localization in water distribution systems: A model invalidation approach
• Mehdi Keyvan-Ekbatani, Rodrigo Castelan Carlson, Victor L. Knoop, Markos Papageorgiou, Optimizing distribution of metered traffic flow in perimeter control: Queue and delay balancing approaches
• Nikolaus Euler-Rolle, Ferdinand Krainer, Stefan Jakubek, Christoph Hametner, Automated synthesis of a local model network based nonlinear model predictive controller applied to the engine air path
• Rodrigo Silva, Jorge A. Huerta-Ruelas, Juan de Dios Ortiz-Alvarado, Fortino Mendoza-Mondragon, Antonio Hernández Zavala, An application of improved space vector strategy based in digital direct synthesizers for a high-performance inverter
• Ling Zhao, Xin Liu, Jinhui Zhang, Tao Wang, Angle tracking control for double-joint dexterous hand systems based on a piecewise extended state observer
• Xiaoxia Chen, Xuhua Shi, Ting Lan, A semi-supervised linear-nonlinear prediction system for tumbler strength of iron ore sintering process with imbalanced data in multiple working modes
• Yaokui Gao, Yong Hu, Deliang Zeng, Jizhen Liu, Yuguang Niu, Improving the CCS performance of coal-fired drum boiler units base on PEB and DEB strategies
• Hamed Jabbari Asl, Kota Katagiri, Tatsuo Narikiyo, Masashi Yamashita, Michihiro Kawanishi, Augmenting human power by assistive robots: Application of adaptive neural networks
• Shu Xu, Mark Nixon, James Beall, David Wiklund, Marcos Peluso, Process variability reduction in flow control and wedge flowmeter performance evaluation
• Liangliang Chen, Ying Zhang, Accelerated distributed model predictive control for HVAC systems
• Junnian Wang, Shoulin Gao, Kai Wang, Yan Wang, Qingsong Wang, Wheel torque distribution optimization of four-wheel independent-drive electric vehicle for energy efficient driving
• Hui Pang, Rui Yao, Peng Wang, Zijun Xu, Adaptive backstepping robust tracking control for stabilizing lateral dynamics of electric vehicles with uncertain parameters and external disturbances
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.
• Jiashi Jiang, Qingchao Jiang, Variational Bayesian probabilistic modeling framework for data-driven distributed process monitoring
Virtual Special Section on Industrial Cyber-Physical Systems, Industrial Artificial Intelligence and Application; Edited by Jun Zhao, Henry Leung, Ziqiang Lang and Wei Wang.
• Jie Dong, Chi Zhang, Kaixiang Peng, A new multimode process monitoring method based on a hierarchical Dirichlet process—Hidden semi-Markov model with application to the hot steel strip mill process
• Ge Guo, Yunpeng Wang, An integrated MPC and deep reinforcement learning approach to trams-priority active signal control
