导航、制导与控制 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 15

A dynamic control decision approach for fixed-wing aircraft games via hybrid action reinforcement learning
Zhuang, Xing; Li, Dongguang; Li, Hanyu; Wang, Yue; Zhu, Jihong
Sci China Inf Sci, 2025, 68(3): 132201
Keywords: intelligent air combat; unmanned aerial vehicle game; dynamic control; reinforcement learning
Cite as: Zhuang X, Li D G, Li H Y, et al. A dynamic control decision approach for fixed-wing aircraft games via hybrid action reinforcement learning. Sci China Inf Sci, 2025, 68: 132201, doi: 10.1007/s11432-023-4217-8

导航、制导与控制 REVIEW Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Recent advances in spacecraft dynamics and control
Li, Lincheng; Xu, Ming; Meng, Guang; Wang, Dayi; Wang, Wei
Sci China Inf Sci, 2026, 69(6): 161201
Keywords: spacecraft dynamics; orbit optimization; attitude control; structural dynamics; artificial intelligence
Cite as: Li L C, Xu M, Meng G, et al. Recent advances in spacecraft dynamics and control. Sci China Inf Sci, 2026, 69: 161201, doi: 10.1007/s11432-025-4857-8

导航、制导与控制 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar

Hierarchical multi-terminal attitude planning for rigid-body spacecraft
Huo T, Yang J, Yue C F, et al
Sci China Inf Sci, 2026, 69(9): 192206
Keywords: hierarchical attitude planning; multi-heuristic A*; three-dimensional special orthogonal group; attitude constraints; movable parts
Cite as: Huo T, Yang J, Yue C F, et al. Hierarchical multi-terminal attitude planning for rigid-body spacecraft. Sci China Inf Sci, 2026, 69: 192206, doi: 10.1007/s11432-025-5022-9

导航、制导与控制 LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

DPCN: enabling efficient multi-agent path finding via decentralized-planning-centralized-negotiation paradigm
Liu, Qidong; Li, Xiaowen; Zhan, Chuang; Zhang, Jie; Long, Cheng; Xu, Mingliang
Sci China Inf Sci, 2026, 69(8): 189202
Keywords: multi-agent path finding; multi-agent system; multi-agent planning and scheduling; decen tralized planning and scheduling; deep reinforcement learning
Cite as: Liu Q D, Li X W, Zhan C, et al. DPCN: enabling efficient multi-agent path finding via decentralized-planning-centralized-negotiation paradigm. Sci China Inf Sci, 2026, 69: 189202, doi: 10.1007/s11432-025-4796-2

导航、制导与控制 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Fast and high-precision estimation of phase and Doppler frequency for X-ray pulsar-based navigation based on prior information and non-convex optimization
Zhang, Wenjia; Ma, Xin; Cui, Peiling; Ning, Xiaolin; Wu, Weiren; Fang, Jiancheng
Sci China Inf Sci, 2026, 69(8): 182202
Keywords: X-ray pulsar-based navigation; phase estimation; Doppler frequency estimation; Bayesian estimation
Cite as: Zhang W J, Ma X, Cui P L, et al. Fast and high-precision estimation of phase and Doppler frequency for X-ray pulsar-based navigation based on prior information and non-convex optimization. Sci China Inf Sci, 2026, 69: 182202, doi: 10.1007/s11432-025-4977-0

导航、制导与控制 LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Hypersonic flight discrete-time optimal control with prescribed performance and saturation constraints
Bu, Xiangwei; Luo, Ruining; Wang, Pengfei; Cai, Guangbin
Sci China Inf Sci, 2026, 69(6): 169203
Keywords: hypersonic flight systems; discrete-time optimal controller; prescribed-time performance; saturation; adaptive dynamic programming
Cite as: Bu X W, Luo R N, Wang P F, et al. Hypersonic flight discrete-time optimal control with prescribed performance and saturation constraints. Sci China Inf Sci, 2026, 69: 169203, doi: 10.1007/s11432-025-4694-y

导航、制导与控制 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Intelligent diving maneuver guidance strategy with multiple constraints via meta-reinforcement learning
Zhang, Hao; Zhu, Jianwen; Li, Xiaoping; Bao, Weimin
Sci China Inf Sci, 2026, 69(6): 162205
Keywords: hypersonic gliding vehicle; diving phase; maneuver guidance; multi-constraint guidance; meta-reinforcement learning; proximal policy optimization
Cite as: Zhang H, Zhu J W, Li X P, et al. Intelligent diving maneuver guidance strategy with multiple constraints via meta-reinforcement learning. Sci China Inf Sci, 2026, 69: 162205, doi: 10.1007/s11432-024-4885-x