【当期目录】IEEE/CAA JAS 第10卷 第5期

本期导读：

    主题：大数据分析、ChatGPT、神经网络、强化学习、多目标优化、进化计算、遗传学习、信息物理系统、嵌入学习、多智能体系统、模型识别、自主潜水器...

Y. Zhou, X. Luo, and  M. C. Zhou,  “Cryptocurrency transaction network embedding from static and dynamic perspectives: An overview,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1105–1121, May 2023.

doi: 10.1109/JAS.2023.123450

>Progress of CTNE methodology and algorithms from static to dynamic perspectives has been thoroughly reviewed.

> Typical evaluation metrics, along with the most commonly-adopted and publicly available CTNE datasets have been summarized.

> Reviewed typical CTNE methods have been validated on two large-scale datasets to provide practitioner with empirical guidance.

T. Y. Wu, S. Z. He, J. P. Liu, S. Q. Sun, K. Liu, Q.-L. Han, and  Y. Tang,  “A brief overview of ChatGPT: The history, status quo and potential future development,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1122–1136, May 2023.

doi: 10.1109/JAS.2023.123618

> Core techniques and key technical steps for developing ChatGPT are specified.

> The pros and cons of ChatGPT and the duality of ChatGPT are provided.

> Several open problems on potential research trends of ChatGPT are discussed.

Z. H. Li, D. Shen, and X. H. Yu, “Enhancing iterative learning control with fractional power update law,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1137–1149, May 2023.

doi: 10.1109/JAS.2023.123525

> Show that such mechanism can equally ramp up the learning speed in ILC systems.

> First propose a fractional power update rule for ILC of single-input-single-output linear systems.

> A nonlinear error dynamics is constructed along the iteration axis to illustrate the evolutionary converging process.

L. Zhang, Q. Kang, Q. Deng, L. Y. Xu, and  Q. D. Wu,  “A line complex-based evolutionary algorithm for many-objective optimization,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1150–1167, May 2023.

doi: 10.1109/JAS.2023.123495

> Uses line complex instead of solution points to design evolutionary strategy.

> Designs a new distance function is designed as a more effective distance-based estimator.

> A novel MaOEA named NSGA-III/LCD is proposed by integrating the line complex-based environmental selection strategy into an NSGA-III framework to achieve better convergence while maintaining the diversity of solutions.

Z. Y. Lei, S. C. Gao, Z. M. Zhang, H. C. Yang, and  H. T. Li,  “A chaotic local search-based particle swarm optimizer for large-scale complex wind farm layout optimization,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1168–1180, May 2023.

doi: 10.1109/JAS.2023.123387

> Proposed CGPSO for complex large-scale WFLO problems.

> Proposed chaotic local search strategy.

> Numerical results indicate that CGPSO significantly outperforms its peers.

H. B. Guo, J. Sun, and  Z.-H. Pang,  “Residual-based false data injection attacks against multi-sensor estimation systems,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1181–1191, May 2023.

doi: 10.1109/JAS.2023.123441

> Investigates the security issue of multi-sensor remote state estimation in cyber-physical systems and proposes a novel stealthy FDI attack scheme by using historical and current residuals.

> Utilizes both historical and current residuals to construct attack signals to tamper with the measurement residuals of partial sensors. The attack impact on system estimation performance is improved.

Z. Y. Qin, X. K. Lu, X. S. Nie, D. F. Liu, Y. L. Yin, and  W. G. Wang,  “Coarse-to-fine video instance segmentation with factorized conditional appearance flows,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1192–1208, May 2023.

doi: 10.1109/JAS.2023.123456

> Exploit a novel hierarchically generative VIS pipeline in a coarse-to-fine fashion.

> Proposed mixing function refine the inference status using appearance distribution.

> Factorized conditional normalization flow was first applied in the VIS task.

H. Liu, C. Y. Lin, B. W. Gong, and  D. Y. Wu,  “Automatic lane-level intersection map generation using low-channel roadside LiDAR,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1209–1222, May 2023.

doi: 10.1109/JAS.2023.123183

> A mathematical lane-level intersection mapping model was set up for low-channel roadside LiDAR.

> Traffic elements such as signal phases, directions, and lane markings were identified using low-channel roadside LiDAR data.

> A lane-level intersection map generation framework using low-channel roadside LiDAR is proposed.

B. Shen, X. L. Wang, and  L. Zou,  “Maximum correntropy Kalman filtering for non-Gaussian systems with state saturations and stochastic nonlinearities,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1223–1233, May 2023.

doi: 10.1109/JAS.2023.123195

> A modified performance index is constructed against the non-Gaussian noises.

> A new Kalman-type filtering algorithm is put forward.

> The influence of kernel parameter selection on the filtering performance is analyzed.

X. Ge, Q.-L. Han, Q. Wu, and  X.-M. Zhang,  “Resilient and safe platooning control of connected automated vehicles against intermittent denial-of-service attacks,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1234–1251, May 2023.

doi: 10.1109/JAS.2022.105845

> A realistic intermittent DoS attack model for V2V communications.

> A resilient and safe distributed longitudinal platooning control law.

> An efficient offline design algorithm for platoon observers and controllers.

H. R. Ren, H. Ma, H. Y. Li, and  Z. Y. Wang,  “Adaptive fixed-time control of nonlinear MASs with actuator faults,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1252–1262, May 2023.

doi: 10.1109/JAS.2023.123558

> Adaptive fixed-time consensus problem for a class of nonlinear MASs with actuator faults is considered.

> Proposes a more helpful tool for solving the problem of approximation-based adaptive fixed-time control for nonlinear uncertain systems.

> A dynamic surface control method employing the sliding mode differentiator is used.

A. D. Carnerero, D. R. Ramirez, D. Limon, and  T. Alamo,  “Kernel-based state-space kriging for predictive control,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1263–1275, May 2023.

doi: 10.1109/JAS.2023.123459

> Presents novel black-box models for nonlinear dynamical systems.

> A Kalman filter can be easily added to improve the quality of the predictions.

> A Tracking MPC controller is built by using the previously obtained models.

C. L. Du, F. B. Li, Y. Shi, C. H. Yang, and W. H. Gui, “Integral event-triggered attack-resilient control of aircraft-on-ground synergistic turning system with uncertain tire cornering stiffness,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1276–1287, May 2023.

doi: 10.1109/JAS.2023.123480

> A novel AoG synergistic turning model is established with synergistic reverse steering of the front and main wheels to decrease the steering angle of the AoG fuselage, thus reducing the steady-state error when it follows a path with some large curvature.

> A dynamical adaptive observer is designed to identify them and estimate the system state at the same time.

> An I-ETM is synthesized to reduce the transmission frequency at the observer-to-controller end, and an attack-resilient controller is designed.

C. X. Mu, Y. Zhang, G. B. Cai, R. J. Liu, and  C. Y. Sun,  “A data-based feedback relearning algorithm for uncertain nonlinear systems,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1288–1303, May 2023.

doi: 10.1109/JAS.2023.123186

> Investigates a new data-based reinforcement learning algorithm for the robust control of uncertain nonlinear system.

> A data processing method based on experience replay technology is designed to improve the data utilization efficiency and algorithm convergence.

> Convergence stability, optimality and algorithmic performance of the proposed algorithm are analyzed through comparative experiments with other typical algorithms.

L. L. Wang, D. Q. Zhu, W. Pang, and  C. M. Luo,  “A novel obstacle avoidance consensus control for multi-AUV formation system,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1304–1318, May 2023.

doi: 10.1109/JAS.2023.123201

> Settling time under any initial conditions is ensured by the proposed fixed-time consensus protocol for the multi-AUV formation system.

> An event-triggered communication strategy is developed to communicate among AUVs, whereas reducing the energy consumption of communication in the multi-AUV formation system.

> Traditional APF method is improved to solve the dynamic and static obstacle avoidance problem of multi-AUV formation in 3D complex environments under current interference.

L. F. Hua, K. B. Shi, Z.-G. Wu, S. Han, and S. M. Zhong, “Sliding mode control for recurrent neural networks with time-varying delays and impulsive effects,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1319–1321, May 2023.

doi: 10.1109/JAS.2023.123372

P. Sun, S. Q. Li, B. Zhu, Z. Y. Zuo, and X. H. Xia, “Vision-based fixed-time uncooperative aerial target tracking for UAV,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1322–1324, May 2023.

doi: 10.1109/JAS.2023.123510

W. Q. Cao, J. Yan, X. Yang, X. Y. Luo, and X. P. Guan, “Model-free formation control of autonomous underwater vehicles: A broad learning-based solution,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1325–1328, May 2023.

doi: 10.1109/JAS.2023.123165

X. K. He and C. Lv, “Towards energy-efficient autonomous driving: A multi-objective reinforcement learning approach,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1329–1331, May 2023.

doi: 10.1109/JAS.2023.123378

Z. L. Sheng, C. Lin, and S. Y. Xu, “A semi-looped-functional for stability analysis of sampled-data systems,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1332–1335, May 2023.

doi: 10.1109/JAS.2023.123498

H. C. Yang, C. Peng, and Z. R. Cao, “A novel memory-based scheduling protocol for networked control systems under stochastic attacks and bandwidth constraint,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1336–1339, May 2023.

doi: 10.1109/JAS.2023.123162

Z. J. Zhao, S. T. Cai, G. Ma, and F. R. Yu, “Vibration control of an experimental flexible manipulator against input saturation,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1340–1342, May 2023.

doi: 10.1109/JAS.2023.123345

Y. L. Yu, C. Guo, and T. S. Li, “Path following of underactuated autonomous surface vessels with surge velocity constraint and asymmetric saturation,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1343–1345, May 2023.

doi: 10.1109/JAS.2023.123168

Y. W. Zheng, A. W. Lai, X. Yu, and W. Y. Lan, “Early-awareness collision avoidance in optimal multi-agent path planning with temporal logic specifications,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1346–1348, May 2023.

doi: 10.1109/JAS.2022.106043

Q. X. Zhong, X. Fang, Z. T. Ding, and F. Liu, “Robust control of manned submersible vehicle with nonlinear MPC and disturbance observer,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1349–1351, May 2023.

doi: 10.1109/JAS.2023.123429

J. Y. Lei, Y.-X. Li, and S. C. Tong, “Distributed adaptive asymptotic tracking of 2-D vehicular platoon systems with actuator faults and spacing constraints,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1352–1354, May 2023.

doi: 10.1109/JAS.2023.123150