博文
[转载]【CAA期刊】IEEE/CAA JAS 第10卷 第8期
|||
【CAA期刊】IEEE/CAA JAS 第10卷 第8期
主题
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...
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
扫码阅读
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.
扫码阅读
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.
扫码阅读
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.
扫码阅读
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.
扫码阅读
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.
扫码阅读
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.
扫码阅读
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.
扫码阅读
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.
扫码阅读
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
扫码阅读
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
扫码阅读
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
扫码阅读
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
扫码阅读
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
扫码阅读
https://m.sciencenet.cn/blog-2374-1401018.html
上一篇：McCulloch-Pitts人工神经元模型80周年纪念：思想、方法与意义
下一篇：[转载]《自动化学报》2023年49卷8期目录
