构建 C2 国际学术交流互鉴平台 ——C2 Science and Technology 创刊发布

2026年10月，由中国指挥与控制学会、中国科学院空天信息创新研究院、北京航空航天大学联合主办的英文学术期刊《指挥控制科学与技术（英文）》（C2 Science and Technology，C2ST）正式创刊。这是中国指挥与控制学会成功创办中文学术期刊《指挥与控制学报》后，在指挥与控制（command and control, C2）学术期刊建设领域的又一具体举措，也是中国指挥与控制学会深化和高等院校、科研机构学术合作、探索中国学术“走出去”、国际学术资源“引进来”新路径的重要实践。

C2ST聚焦C2关键技术攻关与理论创新，旨在打造世界一流科技期刊，构建 C2 国际学术交流互鉴平台。C2ST编委会由国内外知名学者组成，国际编委占比52%，包括中国工程院院士、欧洲人文和自然科学院院士、2 位新加坡工程院院士、多位IEEE会士等；中国工程院院士费爱国担任主编，北京航空航天大学教授吕金虎担任执行主编。期刊采用ScholarOne投审稿系统，采用开放获取出版模式，依托 SciOpen 国际化学术出版平台，推动研究成果实现更广范围的国际传播、收获更多学术关注。

C2ST创刊阶段免收论文处理费；设立高效快速处理通道，3个月内完成审稿，单篇独立快速处理、录用即可排版、上线；上线即可被谷歌学术等主流数据库检索引用，助力作者快速积累学术影响力。

大模型、智能体、具身智能、强化学习、网络安全与人机交互等方向的持续突破，正在重塑现代C2。C2 为前沿算法与理论框架提供了理想的工程试验场：在动态、不确定、高风险的现实约束下完成压力测试、迭代优化与落地验证。诚挚邀请国内外领域专家学者积极投稿，携手共建 C2 领域国际学术高地，并积极举荐国际编委，共同丰富期刊国际化编委生态。

期刊主页：https://www.sciopen.com/journal/3135-6621

投稿地址：https://mc03.manuscriptcentral.com/c2st

期刊邮箱：c2st_editor @163.com

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创刊号论文

Editorial

Building an international platform for academic exchange and mutual-learning in command and control

Aiguo Fei

Citation：Fei A. Building an international platform for academic exchange and mutual-learning in command and control[J]. C2 Science and Technology, 2026, 1(1): 1.

Review

Parallel science and technology for C2 in the agentic age: from military operations to peaceful sustainability and resiliency

Fei-Yue Wang

Citation：Wang F Y. Parallel science and technology for C2 in the agentic age: from military operations to peaceful sustainability and resiliency[J]. C2 Science and Technology, 2026, 1(1): 2-12.

Research Articles

C2 multi-agent factory: large-small model collaboration empowering a new command and control paradigm

Guohua Zhang, Chong Wang, Wei Dong, Qianchuan Zhao

Citation：Zhang G H, Wang C, Dong W, et al. C2 multi-agent factory: large-small model collaboration empowering a new command and control paradigm[J]. C2 Science and Technology, 2026, 1(1): 13-21.

An active resilience planning method for C2 kill-webs based on hypergraphs and dynamic resilience potential

Lijian Sun, Yun Zhou, Chao Chen

Citation：Sun L J, Zhou Y, Chen C. An active resilience planning method for C2 kill-webs based on hypergraphs and dynamic resilience potential[J]. C2 Science and Technology, 2026, 1(1): 22-30.

Online distributed NE seeking for multi-agent noncooperative games with time-varying delays

Lingfei Su, Yongzhao Hua, Xiwang Dong,Jinhu Lü, Danwei Wang

Citation：Su L F, Hua Y Z, Dong X W, et al. Online distributed NE seeking for multi-agent noncooperative games with time-varying delays[J]. C2 Science and Technology, 2026, 1(1): 31-36.

Singular perturbation-based distributed design to approximate generalized Nash equilibrium

Guanpu Chen, Zhaoyang Cheng, Shu Liang, Yiguang Hong, Guanghui Wen

Citation：Chen G P, Cheng Z Y, Liang S, et al. Singular perturbation-based distributed design to approximate generalized Nash equilibrium[J]. C2 Science and Technology, 2026, 1(1): 37-48.

Underwater 3D reconstruction via uncertainty-aware binocular-sonar fusion and local transformation refinement

Yang Yang, Yichen Li, Chi Zhang, Wenbin Yu, Xinping Guan

Citation：Yang Y, Li Y C, Zhang C, et al. Underwater 3D reconstruction via uncertainty-aware binocular-sonar fusion and local transformation refinement[J]. C2 Science and Technology, 2026, 1(1): 49-62.

MIMO-OTFS based semantic-aware image transmission under high-mobility scenarios

Yu Zhang, Jiarui Yan, Yue Liu, Chunxiao Jiang, Zhijin Qin

Citation：Zhang Y, Yan J R, Liu Y, et al. MIMO-OTFS based semantic-aware image transmission under high-mobility scenarios[J]. C2 Science and Technology, 2026, 1(1): 63-72.

Optimization of multi-agent smoke coverage strategies in dynamic environments based on deep reinforcement learning

Kun Zheng, Guixian Qu

Citation：Zheng K, Qu G X. Optimization of multi-agent smoke coverage strategies in dynamic environments based on deep reinforcement learning[J]. C2 Science and Technology, 2026, 1(1): 73-82.

Situated proactive task generation for embodied agents

Haifeng Xu, Chunwen Li, Xiaohu Yuan, Huaping Liu

Citation：Xu H F, Li C W, Yuan X H, et al. Situated proactive task generation for embodied agents[J]. C2 Science and Technology, 2026, 1(1): 83-90.

A non-reduced-order event-triggered control to fixed/prescribed-time synchronization of fuzzy inertial memristive neural networks with distributed delays

Xinya Wang, Guici Chen, Huimin Zeng

Citation：Wang X Y, Chen G C, Zeng H M. A non-reduced-order event-triggered control to fixed/prescribed-time synchronization of fuzzy inertial memristive neural networks with distributed delays[J]. C2 Science and Technology, 2026, 1(1): 91-98.