【目录】IEEE/CAAJAS第11卷第12期

2025-01-20 14:14阅读：

http://blog.sina.cn/dpool/blog/u/6009794978

本期导读
主题区块链智能、频率控制、电力系统、输出反馈控制、分布式优化、微电网、优化能源管理、自适应动态编程、多视角聚类、非线性系统、工业机器人学、增强动力学、强化学习...

全球科研机构
美国University of Houston；澳大利亚Swinburne University of Technology、University of Klagenfurt、University of Adelaide；加拿大University of Quebec；意大利Polytechnic of Bari；日本Tokyo University of Technology；清华大学、中国科学院自动化研究所、北京理工大学、东北大学、西安交通大学、电子科技大学、武汉大学、天津大学、中国矿业大学、华中科技大学、北京工业大学、西北工业大学、华东师范大学、上海大学、郑州大学、湖南大学、南京邮电大学...

F. Lin, Q. Ni, J. Yang, J. Li, N. Zheng, L. Kovács, R. Prodan, M. Dotoli, Q.-L. Han, and F.-Y. Wang, 'Securing the future after pagerbombs: Lifecycle protection of smart devices via blockchain intelligence,'

IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2355–2358, Dec. 2024. doi: 10.1109/JAS.2024.125031

C. Sheng, W. Ma, Q.-L. Han, W. Zhou, X. Zhu, S. Wen, Y. Xiang, and F.-Y. Wang, “Pager explosion: Cybersecurity insights and afterthoughts,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2359–2362, Dec. 2024. doi: 10.1109/JAS.2024.125034

C. He, H. Geng, K. Rajashekara, and A. Chandra, “Analysis and control of frequency stability in low-inertia power systems: A review,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2363–2383, Dec. 2024. doi: 10.1109/JAS.2024.125013
> Key challenges of large-scale integration of renewables into power systems
> Modeling, analysis, and control of frequency stability in low-inertia power systems
> Summarizes mechanism- and data-driven methods in frequency stability research

Q. Lu, X. Wu, J. She, F. Guo, and L. Yu, “Disturbance rejection for systems with uncertainties based on fixed-time equivalent-input-disturbance approach,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2384–2395, Dec. 2024. doi: 10.1109/JAS.2024.124650
> Proposed fixed-time EID method allows EID to handle finite-time observation tasks
> Filter in the approach can achieve fast disturbance reconstruction of disturbances
> Fixed-time EID also demonstrates a degree of robustness to measurement noise

F. Yang, J. Liu, and X. Guan, “Distributed fixed-time optimal energy management for microgrids based on a dynamic event-triggered mechanism,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2396–2407, Dec. 2024. doi: 10.1109/JAS.2024.124686
> By generalizing the existing fixed-time stability theory, a new fixed-time lemma is raised and a novel settling time upper bound is obtained, which helps accelerate algorithm convergence

M. Zhao, D. Wang, S. Song, and J. Qiao, “Safe Q-learning for data-driven nonlinear optimal control with asymmetric state constraints,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2408–2422, Dec. 2024. doi: 10.1109/JAS.2024.124509
> A novel formulation of augmented utility function is established by incorporating an adjustable positive definite CBF and a quadratic form of the next state. First, the proposed augmented utility function can better ensure the safety of the next state if the current state is within the safe region. Second, the adjustable CBF is a positive definite function and only equals zero at the equilibrium point. Finally, comparison results under six utility functions are provided to demonstrate the superiority of the proposed augmented utility function

M. Wang, J. Zhang, J. Ma, and X. Guo, “Cas-FNE: Cascaded face normal estimation,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2423–2434, Dec. 2024. doi: 10.1109/JAS.2024.124899
> Our Cas-FNE can produce face normals through the refinement of multiple cascaded stages
> Our normal enhance geometric, which ensures that the recovered 3D face has high fidelity details

J. Xu, Z. Zhang, Z. Lin, Y. Chen, and W. Ding, “Multi-view dynamic kernelized evidential clustering,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2435–2450, Dec. 2024. doi: 10.1109/JAS.2024.124608
> Propose a multi-view evidential clustering algorithm that can handle overlapping areas between clusters
> The method can characterize imprecision and handle non-spherical data
> Provide a strategy to explore the potential structure of non-spherical data

X. Xu and G.-R. Duan, “High-order fully actuated system models for strict-feedback systems with increasing dimensions,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2451–2462, Dec. 2024. doi: 10.1109/JAS.2024.124599
> Present HOFAS models specifically designed for SFSs with increasing dimensions
> Various SFSs were transformed into FAS models
> Tackle the control problem associated with SFSs exhibiting increasing dimensions

H. Liu, Y. Tong, and Z. Zhang, “Human observation-inspired universal image acquisition paradigm integrating multi-objective motion planning and control for robotics,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2463–2475, Dec. 2024. doi: 10.1109/JAS.2024.124512
> Presents a universal image acquisition paradigm for industrial robots
> Proposes an improved BAORNN-based multi-optimization control scheme
> Introduces an energy-based adaptive trajectory optimization method

L. Wang, Z. Li, L. Cao, G. Guo, and Z. Kong, “Controllability of multi-relational networks with heterogeneous dynamical nodes,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2476–2486, Dec. 2024. doi: 10.1109/JAS.2024.124404
> Explores controllability in heterogeneous multi-relational networks
> Derives controllability criteria for heterogeneous networks with multi-relational links
> Several criteria for typical network structures are proposed

H. Wang, J. Peng, F. Zhang, and Y. Wang, “High-order control barrier function-based safety control of constrained robotic systems: An augmented dynamics approach,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2487–2496, Dec. 2024. doi: 10.1109/JAS.2024.124524
> High-Order Control Barrier Function-Based Safety Control of Constrained Robotic Systems: An Augmented Dynamics Approach
> A novel HoCBF-based safety control method is proposed for robotic systems subject to input-output constraints, which can maintain the desired smoothness of system states and reduce undesired chattering vibration in the control torque

S. Cao, X. Wang, and Y. Cheng, “Robust offline actor-critic with on-policy regularized policy evaluation,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2497–2511, Dec. 2024. doi: 10.1109/JAS.2024.124494
> Develop an on-policy regularized policy evaluation for offline RL
> Integrate the intrinsic conservatism of on-policy SARSA into off-policy Q-learning
> Promote the stable estimated Q-function without accessing the pre-trained behavior policy

Z. Li, Y. Guo, G. Wang, and W. Chen, “Level curve tracking via robust RL-guided model predictive control,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2512–2514, Dec. 2024. doi: 10.1109/JAS.2024.124350

E.-Z. Cao, C. Peng, and Q.-K. Li, “Integrating inventory monitoring and capacity changes in dynamic supply chains with bi-directional cascading propagation effects,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2515–2518, Dec. 2024. doi: 10.1109/JAS.2023.123309

J. Zhang, F. Lin, S. Ding, and W. Xing, “Linear programming-based consensus of positive continuous-time multi-agent systems,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2519–2521, Dec. 2024. doi: 10.1109/JAS.2024.124716

F.-Y. Wang, “From plant modeling to narrative science: Growing and enjoying scientific fruits naturally and humanistically,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2522–2524, Dec. 2024. doi: 10.1109/JAS.2024.124959

X. Chen, S. Hu, X. Xie, and J. Qiu, “Consensus-based distributed secondary control of microgrids: A pre-assigned time sliding mode Approach,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2525–2527, Dec. 2024. doi: 10.1109/JAS.2023.123891

A. Qiu, Y. Hu, and J. Wu, “Event-triggered fault detection — An integrated design approach directly toward fault diagnosis performance,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 12, pp. 2528–2530, Dec. 2024. doi: 10.1109/JAS.2023.124074

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