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Event-triggered state estimation for cyber-physical systems with partially observed injection attacks
Liu, Le; Zhao, Xudong; Wang, Bohui; Wu, Yuanqing; Xing, Wei
Sci China Inf Sci, 2023, 66(6): 169202
Keywords: cyber physical systems; event-triggered estimation; injection attack; optimal state estimation; optimal filtering
Cite as: Liu L, Zhao X D, Wang B H, et al. Event-triggered state estimation for cyber-physical systems with partially observed injection attacks. Sci China Inf Sci, 2023, 66(6): 169202, doi: 10.1007/s11432-021-3260-0

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 4

System identification under saturated precise or set-valued measurements
Zhao, Yanlong; Zhang, Hang; Wang, Ting; Kang, Guolian
Sci China Inf Sci, 2023, 66(1): 112204
Keywords: system identification; Cram´er-Rao lower bound; truncated data; precise measurement; set-valued measurement
Cite as: Zhao Y L, Zhang H, Wang T, et al. System identification under saturated precise or set-valued measurements. Sci China Inf Sci, 2023, 66(1): 112204, doi: 10.1007/s11432-021-3505-5

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Randomized multimodel multiple hypothesis tracking
Liu, Haiqi; Shen, Xiaojing; Wang, Zhiguo; Meng, Fanqin
Sci China Inf Sci, 2023, 66(9): 199203
Keywords: multi-target tracking; data association; random coefficient matrices; Kalman filter; maneuvering targets
Cite as: Liu H Q, Shen X J, Wang Z G, et al. Randomized multimodel multiple hypothesis tracking. Sci China Inf Sci, 2023, 66(9): 199203, doi: 10.1007/s11432-022-3639-y

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A recursive least squares algorithm with ℓ1 regularization for sparse representation
Liu, Di; Baldi, Simone; Liu, Quan; Yu, Wenwu
Sci China Inf Sci, 2023, 66(2): 129202
Keywords: sparse representation; recursive least squares; l1-regularization; l2-regularization; sparse model; parameter estimation
Cite as: Liu D, Baldi S, Liu Q, et al. A recursive least squares algorithm with ℓ1 regularization for sparse representation. Sci China Inf Sci, 2023, 66(2): 129202, doi: 10.1007/s11432-022-3546-5

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Keywords: identifiability; sloppiness; structured system; matrix fraction; graph theory; matroid
Cite as: Ma Y X, Zhou T. Identifiability and sloppiness of structured systems with a matrix fraction description using finite frequency responses. Sci China Inf Sci, 2025, 68(2): 122204, doi: 10.1007/s11432-024-4135-9

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State and parameter identification of linearized water wave equation via adjoint method
Yu, Yang; Xu, Cheng-Zhong; Pei, Hai-Long; Yu, Jinpeng
Sci China Inf Sci, 2024, 67(10): 202205
Keywords: linearized water wave equation (LWWE); point observation; state estimation; parameter identification; adjoint method; numerical simulation
Cite as: Yu Y, Xu C-Z, Pei H-L, et al. State and parameter identification of linearized water wave equation via adjoint method. Sci China Inf Sci, 2024, 67(10): 202205, doi: 10.1007/s11432-023-4094-4

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State estimation for delayed switched positive systems: delayed radius approach
Chen, Weizhong; Fei, Zhongyang; Zhao, Xudong; Wu, Zheng-Guang
Sci China Inf Sci, 2024, 67(8): 182202
Keywords: delayed switched positive systems; interval estimation; asynchronous correction matrix; zonotopes; mode-dependent average dwell time
Cite as: Chen W Z, Fei Z Y, Zhao X D, et al. State estimation for delayed switched positive systems: delayed radius approach. Sci China Inf Sci, 2024, 67(8): 182202, doi: 10.1007/s11432-023-3980-0