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A dynamic encryption scheme for detecting FDI attacks in cyber-physical systems
Li, Tongxiang; Chen, Bo; Sheng, Weiguo; Zhang, Wen-An
Sci China Inf Sci, 2026, 69(4): 142203
Keywords: cyber-physical systems; attack detection; FDI attacks; replay attacks; dynamic encryption
Cite as: Li T X, Chen B, Sheng W G, et al. A dynamic encryption scheme for detecting FDI attacks in cyber-physical systems. Sci China Inf Sci, 2026, 69: 142203, doi: 10.1007/s11432-025-4645-y
Special Topic: Logical System Control
SCIS Selected Articles on Semi-Tensor Product (STP)
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A dimension-keeping semi-tensor product framework for compressed sensing
Qi, Qi; Tayebi, Abdelhamid; Cheng, Daizhan; Feng, Jun-E.
Sci China Inf Sci, 2026, 69(4): 140204
Keywords: compressed sensing; semi-tensor product; dimension-keeping semi-tensor product; image reconstruction; noise reduction
Cite as: Qi Q, Tayebi A, Cheng D Z, et al. A dimension-keeping semi-tensor product framework for compressed sensing. Sci China Inf Sci, 2026, 69: 140204, doi: 10.1007/s11432-025-4825-9
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Keywords: privacy preservation; state estimation; non-convex optimization; exogenous inputs; Cramer-Rao lower bound
Cite as: Guo L P, Wang J M, Zhao Y L, et al. State estimation with protecting exogenous inputs via Cramer-Rao lower bound approach. Sci China Inf Sci, 2026, 69: 192207, doi: 10.1007/s11432-024-5021-y
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Keywords: two-dimensional system; measurement censoring; Tobit Kalman filtering; multi-sensor fusion filtering; energy harvesting sensor; measurement outlier
Cite as: Li Y Y, Liang J L, Qiu J L. Multi-sensor fusion filtering for 2-D systems with measurement censoring and energy harvesting scheme under an outlier-resistant approach. Sci China Inf Sci, 2026, 69: 192203, doi: 10.1007/s11432-025-4998-1
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Keywords: multi-model systems; outliers; Krylov subspace-driven parameterization strategy; expectation framework; parameter identification
Cite as: Li R H, Ma Y J, Ma J X, et al. Robust identification of multi-model systems with a synergistic reweighted expectation algorithm based on Krylov subspace. Sci China Inf Sci, 2026, 69: 189203, doi: 10.1007/s11432-025-4784-3
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Keywords: persistent excitation condition; adaptive algorithm; deterministic learning; persistent excitation level; radial basis function neural networks
Cite as: Wu W M, Zhang J Y, Sun C, et al. Relations of PE level for RBF neural networks under the discrete-time framework and their application to deterministic learning. Sci China Inf Sci, 2026, 69: 182206, doi: 10.1007/s11432-024-4888-8
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Keywords: distributed cooperative learning; directed connected graphs; dynamic event-triggered communication; multi-agent systems; system identification
Cite as: Dai S-L, Wen P H, Wang M. Dynamic-event-based distributed cooperative learning of unknown nonlinear systems over directed connected graphs. Sci China Inf Sci, 2026, 69: 152206, doi: 10.1007/s11432-025-4782-0
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Adaptive-weighted variational Bayesian filter for robust state estimation without prior statistics
Wei, Juhui; Hou, Bowen; Wang, Dayi; Xue, Wenchao; Wang, Jiongqi
Sci China Inf Sci, 2026, 69(4): 142202
Keywords: adaptive filter; anomalies; kernel density estimation; M-estimation; non-Gaussian noise
Cite as: Wei J H, Hou B W, Wang D Y, et al. Adaptive-weighted variational Bayesian filter for robust state estimation without prior statistics. Sci China Inf Sci, 2026, 69: 142202, doi: 10.1007/s11432-024-4726-3
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A quantized order estimator
Jing, Lida
Sci China Inf Sci, 2026, 69(3): 132205
Keywords: discrete-time linear time-invariant systems; quantized output; order estimate; system identification; estimator
Cite as: Jing L D. A quantized order estimator. Sci China Inf Sci, 2026, 69: 132205, doi: 10.1007/s11432-024-4533-2
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A new optimization scheme for uncertain problems: a globally robust solution
Zhu, Yunmin; Li, Weiyu; Song, Enbin; Luo, Yingting
Sci China Inf Sci, 2025, 68(12): 229202
Keywords: uncertain systems; criteria; minimax; globally robust solution; optimization
Cite as: Zhu Y M, Li W Y, Song E B, et al. A new optimization scheme for uncertain problems: a globally robust solution. Sci China Inf Sci, 2025, 68: 229202, doi: 10.1007/s11432-023-4560-2
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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: 122204, doi: 10.1007/s11432-024-4135-9
