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【当期目录】IEEE/CAA JAS 第10卷 第8期
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区块链、深度学习、图像融合、AI、工业5.0、优化、自适应神经网络控制、事件触发机制...
美国Tennessee Technological University、University of Virginia、Indiana University-Purdue University Indianapolis、National Institute of Standards and Technology；英国University of Cambridge；澳大利亚Griffith University、Commonwealth Scientific and Industrial Research Organisation；日本Keio University；北京大学、中国科学院大学、东北大学、西安交通大学、北京交通大学、武汉大学、北京科技大学、兰州大学、广东工业大学、湖南大学... F.-Y. Wang, “New control paradigm for Industry 5.0: From big models to foundation control and management,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1643–1646, Aug. 2023. doi: 10.1109/JAS.2023.123768 L. Duan, Y. Y. Sun, W. Ni, W. P. Ding, J. Q. Liu, and W. Wang, “Attacks against cross-chain systems and defense approaches: A contemporary survey,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1647–1667, Aug. 2023. doi: 10.1109/JAS.2023.123642 > Present security defects in the technical principles and implementation mechanisms of cross-chains. > Analyze different cross-chain attacks from multiple dimensions. > Explore the multi-level, inter-chain risk control method structure and intelligent defense approaches for cross-chain systems, and point out future research directions in cross-chain secure applications. X. Y. Wang, Q. Hu, Y. S. Cheng, and J. Y. Ma, “Hyperspectral image super-resolution meets deep learning: A survey and perspective,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1668–1691, Aug. 2023. doi: 10.1109/JAS.2023.123681 > A comprehensive review of latest DL methods for HS image SR is provided. > The commonly used hyperspectral datasets are summarized. > Evaluations for HS image SR methods are performed in three categories. X. X. Wang, J. Yang, Y. T. Wang, Q. H. Miao, F.-Y. Wang, A. J. Zhao, J.-L. Deng, L. X. Li, X. X. Na, and L. Vlacic, “Steps toward Industry 5.0: Building “6S” parallel industries with cyber-physical-social intelligence,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1692–1703, Aug. 2023. doi: 10.1109/JAS.2023.123753 > Defines Industry 5.0 from its philosophical and historical origin and evolution. > New thinking of Industry 5.0 on virtual-real duality and human-machine interaction is presented. > Some case studies and applications of Industry 5.0 over the last decade have been briefly summarized and analyzed, providing valuable insights and suggestions for its future development. S. A. A. Rizvi, A. J. Pertzborn, and Z. Lin, “Development of a bias compensating Q-learning controller for a multi-zone HVAC facility,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1704–1715, Aug. 2023. doi: 10.1109/JAS.2023.123624 > A bias compensating Q-learning algorithm to handle unmeasurable disturbances. > Implementation aspects of Q-learning in a multi-zone HVAC facility. > Robustness to disturbances arising from unknown heat gains and weather variations. W. L. Zuo, J. M. Xin, C. N. Liu, N. N. Zheng, and A. Sano, “Improved Capon estimator for high-resolution DOA estimation and its statistical analysis,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1716–1729, Aug. 2023. doi: 10.1109/JAS.2023.123549 > Higher-order inverse array covariance matrix based improved Capon DOA estimation. > ICE and MUSIC are equivalent regardless of the SNR with large power order. > Asymptotic MSE expressions of DOA estimates are derived explicitly. Q. H. Zhu, B. Li, Y. Hou, H. P. Li, and N. Q. Wu, “Scheduling dual-arm multi-cluster tools with regulation of post-processing time,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1730–1742, Aug. 2023. doi: 10.1109/JAS.2023.123189 > Aim to ensure high quality of high-end IC chips on a wafer. > Find an optimal schedule of a dual-arm multi-cluster tool to regulate wafer post-processing time. > Achieve the highest throughput and minimize the total post-processing time. X. F. Chen, M. Liu, and S. Li, “Echo state network with probabilistic regularization for time series prediction,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1743–1753, Aug. 2023. doi: 10.1109/JAS.2023.123489 > Focuses on putting forward an improved echo state network for predicting time series in the presence of various kinds of noises. > Mean and variance of the modeling error are minimized by optimizing the constructed objective function in the proposed model. > Conducts experiments on a benchmark dataset as well as two real-world ones and comparisons based on different prediction models to verify the effectiveness and superiority of the proposed model. Z. J. Zhao, J. Zhang, S. Y. Chen, W. He, and K.-S. Hong, “Neural-network-based adaptive finite-time control for a two-degree-of-freedom helicopter system with an event-triggering mechanism,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1754–1765, Aug. 2023. doi: 10.1109/JAS.2023.123453 > A new event triggering mechanism (ETM) for greater flexibility and save communication resources. > Utilize ETM to save system communication resources while considering finite time convergence. > Ensures that the closed-loop signal of the system is half-leaf finite time stable. Z. B. Sun, S. J. Tang, J. L. Zhang, and J. Z. Yu, “Nonconvex noise-tolerant neural model for repetitive motion of omnidirectional mobile manipulators,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1766–1768, Aug. 2023. doi: 10.1109/JAS.2023.123273 M. Q. Tang, J. W. Sheng, and S. Y. Sun, “A coverage optimization algorithm for underwater acoustic sensor networks based on Dijkstra method,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1769–1771, Aug. 2023. doi: 10.1109/JAS.2023.123279 Z. H. Hao, G. C. Wang, B. Zhang, L. Y. Fang, and H. S. Li, “An isomerism learning model to solve time-varying problems through intelligent collaboration,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1772–1774, Aug. 2023. doi: 10.1109/JAS.2023.123360 C. M. Luo, L. X. Wang, X. D. Yang, G. F. Xin, and B. Wang, “Underwater data-driven positioning estimation using local spatiotemporal nonlinear correlation,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1775–1777, Aug. 2023. doi: 10.1109/JAS.2023.123288 Z. C. Zhang, J. S. Bian, and K. Wu, “Relay-switching-based fixed-time tracking controller for nonholonomic state-constrained systems: Design and experiment,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1778–1780, Aug. 2023. doi: 10.1109/JAS.2022.106046
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