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【当期目录】IEEE/CAA JAS第10卷第10期

已有 646 次阅读 2023-11-3 14:59 |系统分类:博客资讯

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自动驾驶、多目标优化、迭代学习控制、强化学习、信息物理系统...


全球科研机构

美国New Jersey Institute of Technology;俄罗斯Southern Federal University、Russian Academy of Engineering;韩国Yonsei University;中国科学院大学、北京航空航天大学、上海交通大学、西安交通大学、东南大学、合肥工业大学、杭州电子科技大学...


T. Y. K. Zhang, J. X. Zhan, J. M. Shi, J. M. Xin, and  N. N. Zheng,  “Human-like decision-making of autonomous vehicles in dynamic traffic scenarios,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 10, pp. 1905–1917, Oct. 2023. doi: 10.1109/JAS.2023.123696 

> First review that provides a comprehensive overview of human-like decision-making for autonomous vehicles.

> Some original issues are discussed: 1) The intelligence level of most autonomous driving decision-making algorithms; 2) The driving datasets and simulation platforms for testing and verifying human-like decision-making; 3) The evaluation metrics of human-likeness; personalized driving; the application of decision-making in real traffic scenarios; and 4) The potential research direction of human-like driving.

> Research results are significant for creating interpretable human-like driving models and applying them in dynamic traffic scenarios.


Z. X. Li, I. Korovin, X. L. Shi, S. Gorbachev, N. Gorbacheva, W. Huang, and  J. D. Cao,  “A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 10, pp. 1918–1932, Oct. 2023. doi: 10.1109/JAS.2023.123192 

> Louvain algorithm is used for community detection to build an equivalent training set.

> A residual correction method is proposed for the Extreme learning machines algorithm.

> Complex network and artificial intelligence algorithms are applied to predict rutting depth.


D. Y. Meng and  J. Y. Zhang,  “Fundamental trackability problems for iterative learning control,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 10, pp. 1933–1950, Oct. 2023. doi: 10.1109/JAS.2023.123312 

> Addresses the fundamental trackability problem of continuous-time ILC.

> A general feedback-based design method is proposed for ILC updating laws in the presence of any tracking tasks.

> A convergence analysis method of ILC is developed by resorting to properties of the FCS.


K. J. Qiao, J. Liang, Z. Y. Liu, K. J. Yu, C. T. Yue, and  B. Y. Qu,  “Evolutionary multitasking with global and local auxiliary tasks for constrained multi-objective optimization,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 10, pp. 1951–1964, Oct. 2023. doi: 10.1109/JAS.2023.123336 

> A new evolutionary multitasking-based constrained multi-objective algorithm CMEGL is developed.

> A global auxiliary task and a local auxiliary task are created to assist the main task.

> A self-adaptive method is proposed to stop updating the population of global auxiliary task.


Q. H. Zhu, H. P. Li, C. Wang, and  Y. Hou,  “Scheduling a single-arm multi-cluster tool with a condition-based cleaning operation,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 10, pp. 1965–1983, Oct. 2023. doi: 10.1109/JAS.2023.123327

> Multi-cluster tools manufacture high-quality IC chips on wafers.

> Chamber cleaning is paramount to ensure the high quality of IC chips on wafers.

> Find a schedule for a single-arm multi-cluster tool with a cleaning operation.


F. Y. Zhang, Q. Y. Yang, and  D. An,  “Privacy preserving demand side management method via multi-agent reinforcement learning,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 10, pp. 1984–1999, Oct. 2023. doi: 10.1109/JAS.2023.123321

> Novel DSM algorithm: a novel multi-agent reinforcement learning algorithm is proposed to produce the DSM control strategy for microgrids. 

> Explicit privacy protection method: an encryptor based on a neural network with fixed parameters is presented.

> Complete experiments with real-world data: extensive simulations are performed to verify the effectiveness of the proposed method with the real-world energy consumption data of Xi'an, Shaanxi, China.


J. Y. Chai, Q. Lu, X. D. Tao, D. L. Peng, and  B. T. Zhang,  “Dynamic event-triggered fixed-time consensus control and its applications to magnetic map construction,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 10, pp. 2000–2013, Oct. 2023. doi: 10.1109/JAS.2023.123444 

> A new fixed-time stability condition is obtained where the less conservative settling time is given such that the theoretical settling time can well reflect the real consensus time.

> A dynamic event-triggered rule is designed to reduce the use of chip and communication resources by introducing an internal variable where Zeno behaviors can be avoided after consensus is achieved for finite/fixed-time consensus control approaches.

> A fixed-time consensus control approach by introducing a new item such that the proposed controller can enable the second-order nonlinear multi-agent system to reach consensus quickly.


X. T. Wu, M. K. Yang, W. B. Lian, M. Zhou, H. W. Wang, and  H. R. Dong,  “Cascading delays for the high-speed rail network under different emergencies: A double layer network approach,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 10, pp. 2014–2025, Oct. 2023. doi: 10.1109/JAS.2022.105530 

> A max-plus algebra based delay propagation model considering trains’ operation strategy and the systems’constraints is proposed to quickly and effectively predict the spatial-temporal range of cascading delays.

> A double-layer network-based breadth-first search algorithm is proposed to timely solve the delay propagation problem for a large-scale HSR network.

> Proposed model could deal with the delay propagation problem when emergencies occur in sections or stations and is suitable for static emergencies and dynamic emergencies.


E. G. Tian, Y. Zou, and H. T. Chen, “Finite-time synchronization of complex networks with intermittent couplings and neutral-type delays,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 10, pp. 2026–2028, Oct. 2023. doi: 10.1109/JAS.2023.123171 


B. Peng, X. R. Zhang, and M. S. Shang, “A novel competition-based coordination model with dynamic feedback for multi-robot systems,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 10, pp. 2029–2031, Oct. 2023. doi: 10.1109/JAS.2023.123267 


M. Lv, Y. Z. Lv, W. W. Yu, and H. F. Meng, “Finite-time attack detection and secure state estimation for cyber-physical systems,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 10, pp. 2032–2034, Oct. 2023. doi: 10.1109/JAS.2023.123351 


M. Q. Lin, S. X. Chen, W. Wang, and J. Wu, “Multi-feature fusion-based instantaneous energy consumption estimation for electric buses,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 10, pp. 2035–2037, Oct. 2023. doi: 10.1109/JAS.2022.106010 


H. Zhang, J. W. Sun, X. Wang, and C. L. Gong, “Achieving physical layer security against location unknown eavesdroppers via friendly jammer,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 10, pp. 2038–2040, Oct. 2023. doi: 10.1109/JAS.2023.123258 




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