近日，2023年度国家科学技术奖励名单公布。IEEE/CAA Journal of Automatica Sinica的10位作者获奖（名单如下，按姓氏拼音排序）。衷心祝贺获奖的各位专家！

此次共评选出250个项目。其中，国家自然科学奖49项，一等奖1项，二等奖48项；国家技术发明奖62项，一等奖8项，二等奖54项；国家科技进步奖139项，特等奖3项，一等奖16项，二等奖120项。

本期遴选以上专家2023年以来在JAS发表的部分论文（未包含2022年及之前发表、已录用定稿中，以及投稿在审的论文），欢迎阅览！

C. Liu, Y. Wang, C. Yang, and W. Gui, “Multimodal data-driven reinforcement learning for operational decision-making in industrial processes,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 1, pp. 252–254, Jan. 2024. doi: 10.1109/JAS.2023.123741 

L. Yan, Q. Li, and K. Li, “Object helps U-Net based change detectors,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 2, pp. 548–550, Feb. 2024. doi: 10.1109/JAS.2023.124032 

Z. Wang, X. Jin, T. Zhang, and D. Yu, “A finite-time convergent analysis of continuous action iterated dilemma,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 2, pp. 563–565, Feb. 2024. doi: 10.1109/JAS.2023.123606 

Z. Chen, X. Wang, W. Gui, J. Zhu, C. Yang, and  Z. Jiang,  “A novel sensing imaging equipment under extremely dim light for blast furnace burden surface: Starlight high-temperature industrial endoscope,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 4, pp. 893–906, Apr. 2024. doi: 10.1109/JAS.2023.123954 

Blast furnace (BF) burden surface contains the most abundant, intuitive and credible smelting information and acquiring high-definition and high-brightness optical images of which is essential to realize precise material charging control, optimize gas flow distribution and improve ironmaking efficiency. It has been challengeable to obtain high-quality optical burden surface images under high-temperature, high-dust, and extremely-dim (less than 0.001 Lux) environment. Based on a novel endoscopic sensing detection idea, a reverse telephoto structure starlight imaging system with large field of view and large aperture is designed. Combined with a water-air dual cooling intelligent self-maintenance protection device and the imaging system, a starlight high-temperature industrial endoscope is developed to obtain clear optical burden surface images stably under the harsh environment. Based on an endoscope imaging area model, a material flow trajectory model and a gas-dust coupling distribution model, an optimal installation position and posture configuration method for the endoscope is proposed, which maximizes the effective imaging area and ensures large-area, safe and stable imaging of the device in a confined space. Industrial experiments and applications indicate that the proposed method obtains clear and reliable large-area optical burden surface images and reveals new BF conditions, providing key data support for green iron smelting.

C. H. Zhang, L. Chang, L. T. Xing, and X. F. Zhang, “Fixed-time stabilization of a class of strict-feedback nonlinear systems via dynamic gain feedback control,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 2, pp. 403–410, Feb. 2023. doi: 10.1109/JAS.2023.123408 

This paper presents a novel fixed-time stabilization control (FSC) method for a class of strict-feedback nonlinear systems involving unmodelled system dynamics. The key feature of the proposed method is the design of two dynamic parameters. Specifically, a set of auxiliary variables is first introduced through state transformation. These variables combine the original system states and the two introduced dynamic parameters, facilitating the closed-loop system stability analyses. Then, the two dynamic parameters are delicately designed by utilizing the Lyapunov method, ensuring that all the closed-loop system states are globally fixed-time stable. Compared with existing results, the “explosion of complexity” problem of backstepping control is avoided. Moreover, the two designed dynamic parameters are dependent on system states rather than a time-varying function, thus the proposed controller is still valid beyond the given fixed-time convergence instant. The effectiveness of the proposed method is demonstrated through two practical systems.

拓展阅读：张承慧教授等：元能源系统：综合能源互联网与元宇宙的交互

C. H. Zhang and S. Liu, “Meta-energy: When integrated energy internet meets metaverse,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 3, pp. 580–583, Mar. 2023. doi: 10.1109/JAS.2023.123492 

X. Gu, Y. L. Shang, Y. Z. Kang, J. L. Li, Z. H. Mao, and C. H. Zhang, “An early minor-fault diagnosis method for lithium-ion battery packs based on unsupervised learning,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 3, pp. 810–812, Mar. 2023. doi: 10.1109/JAS.2023.123099 

Y. Xu, Y. Yuan, Z. Wang, and X. L. Li, “Noncooperative model predictive game with Markov jump graph,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 4, pp. 931–944, Apr. 2023. doi: 10.1109/JAS.2023.123129 

In this paper, the distributed stochastic model predictive control (MPC) is proposed for the noncooperative game problem of the discrete-time multi-player systems (MPSs) with the undirected Markov jump graph. To reflect the reality, the state and input constraints have been considered along with the external disturbances. An iterative algorithm is designed such that model predictive noncooperative game could converge to the so-called ε-Nash equilibrium in a distributed manner. Sufficient conditions are established to guarantee the convergence of the proposed algorithm. In addition, a set of easy-to-check conditions are provided to ensure the mean-square uniform bounded stability of the underlying MPSs. Finally, a numerical example on a group of spacecrafts is studied to verify the effectiveness of the proposed method.

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