Contributed by Kay Tancock, k.tancock@elsevier.com
Vision Paper
• Massimo Tipaldi, Raffaele Iervolino, Paolo Roberto Massenio, Reinforcement learning in spacecraft control applications: Advances, prospects, and challenges, https://doi.org/10.1016/j.arcontrol.2022.07.004
Review Papers
• Richard Hugh Moulton, Karen Rudie, Online control of discrete-event systems: A survey, https://doi.org/10.1016/j.arcontrol.2022.08.002
• Hussam Atoui, Olivier Sename, Vicente Milanes, John-Jairo Martinez-Molina, Toward switching/interpolating LPV control: A review, https://doi.org/10.1016/j.arcontrol.2022.07.002
• Sabine Mondié, Alexey Egorov, Marco A. Gomez, Lyapunov stability tests for linear time-delay systems, https://doi.org/10.1016/j.arcontrol.2022.09.001
• Émiland Garrabé, Giovanni Russo, Probabilistic design of optimal sequential decision-making algorithms in learning and control, https://doi.org/10.1016/j.arcontrol.2022.09.003
• Zubair Rashid Wani, Manzoor Tantray, Ehsan Noroozinejad Farsangi, Nikolaos Nikitas, Mohammad Noori, Bijan Samali, T.Y. Yang, A Critical Review on Control Strategies for Structural Vibration Control, https://doi.org/10.1016/j.arcontrol.2022.09.002
• Auwal Shehu Tijjani, Ahmed Chemori, Vincent Creuze, A survey on tracking control of unmanned underwater vehicles: Experiments-based approach, https://doi.org/10.1016/j.arcontrol.2022.07.001
Tutorial Papers
• Huili Xiao, Dongya Zhao, Shouli Gao, Sarah K. Spurgeon, Sliding mode predictive control: A survey, https://doi.org/10.1016/j.arcontrol.2022.07.003
• Xiangyin Kong, Xiaoyu Jiang, Bingxin Zhang, Jinsong Yuan, Zhiqiang Ge, Latent variable models in the era of industrial big data: Extension and beyond, https://doi.org/10.1016/j.arcontrol.2022.09.005
• Junsoo Kim, Dongwoo Kim, Yongsoo Song, Hyungbo Shim, Henrik Sandberg, Karl H. Johansson, Comparison of encrypted control approaches and tutorial on dynamic systems using Learning With Errors-based homomorphic encryption, https://doi.org/10.1016/j.arcontrol.2022.10.002
Young Talents
• Christos K. Verginis, Dimos V. Dimarogonas, Control of cooperative manipulator-endowed systems under high-level tasks and uncertain dynamics, https://doi.org/10.1016/j.arcontrol.2022.09.004
Section: Estimation and control of quantum systems
• Ian R. Petersen, Daoyi Dong, Special section on estimation and control of quantum systems, https://doi.org/10.1016/j.arcontrol.2022.10.001
• Daoyi Dong, Ian R. Petersen, Quantum estimation, control and learning: Opportunities and challenges, https://doi.org/10.1016/j.arcontrol.2022.04.011
• Pierre Rouchon, A tutorial introduction to quantum stochastic master equations based on the qubit/photon system, https://doi.org/10.1016/j.arcontrol.2022.09.006
• John E. Gough, Quantum covariance and filtering, https://doi.org/10.1016/j.arcontrol.2022.05.003
• Guofeng Zhang, Zhiyuan Dong, Linear quantum systems: A tutorial, https://doi.org/10.1016/j.arcontrol.2022.04.013
• Hendra I. Nurdin, Mădălin Guţǎ, Parameter estimation and system identification for continuously-observed quantum systems, https://doi.org/10.1016/j.arcontrol.2022.04.012
• Jr-Shin Li, Wei Zhang, Yuan-Hung Kuan, Moment quantization of inhomogeneous spin ensembles, https://doi.org/10.1016/j.arcontrol.2022.07.006
• Xiaozhen Ge, Re-Bing Wu, Herschel Rabitz, The optimization landscape of hybrid quantum–classical algorithms: From quantum control to NISQ applications, https://doi.org/10.1016/j.arcontrol.2022.06.001
Section: Analysis and control design for neurodynamics
• Sérgio Pequito, Erfan Nozari, Fabio Pasqualetti, Special Section on Analysis and control design for neurodynamics, https://doi.org/10.1016/j.arcontrol.2022.09.007
• Dan Wilson, Jeff Moehlis, Recent advances in the analysis and control of large populations of neural oscillators, https://doi.org/10.1016/j.arcontrol.2022.05.002
• Raphael Schmetterling, Thiago B. Burghi, Rodolphe Sepulchre, Adaptive conductance control, https://doi.org/10.1016/j.arcontrol.2022.07.005
• Matthew F. Singh, Michael W. Cole, Todd S. Braver, ShiNung Ching, Developing control-theoretic objectives for large-scale brain dynamics and cognitive enhancement, https://doi.org/10.1016/j.arcontrol.2022.05.001
• Christine Beauchene, Claire A. Zurn, Wanru Duan, Yun Guan, Sridevi V. Sarma, The future of therapeutic peripheral nerve stimulation for chronic pain, https://doi.org/10.1016/j.arcontrol.2022.08.001
• Emily Reed, Sarthak Chatterjee, Guilherme Ramos, Paul Bogdan, Sérgio Pequito, Fractional cyber-neural systems — A brief survey, https://doi.org/10.1016/j.arcontrol.2022.06.002