Special Focus on Multi-source Information Fusion
Highly Cited Paper 控制 人工智能系统 REVIEW Website SpringerLink Google Scholar Cited in SCI: 89

Uncertainty measure in evidence theory
Deng, Yong
Sci China Inf Sci, 2020, 63(11): 210201
Keywords: evidence theory; uncertainty measure; deng entropy; shannon entropy
Cite as: Deng Y. Uncertainty measure in evidence theory. Sci China Inf Sci, 2020, 63(11): 210201, doi: 10.1007/s11432-020-3006-9

Highly Cited Paper 控制 人工智能系统 RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 24

Finite-time command filtered adaptive control for nonlinear systems via immersion and invariance
Yu, Jinpeng; Shi, Peng; Chen, Xinkai; Cui, Guozeng
Sci China Inf Sci, 2021, 64(9): 192202
Keywords: adaptive control; finite-time control; command-filtered backstepping; immersion and invariance
Cite as: Yu J P, Shi P, Chen X K, et al. Finite-time command filtered adaptive control for nonlinear systems via immersion and invariance. Sci China Inf Sci, 2021, 64(9): 192202, doi: 10.1007/s11432-020-3144-6

Special Focus on Multi-source Information Fusion
控制 人工智能系统 RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 17

Self-adaptive combination method for temporal evidence based on negotiation strategy
Song, Yafei; Zhu, Jingwei; Lei, Lei; Wang, Xiaodan
Sci China Inf Sci, 2020, 63(11): 210204
Keywords: information fusion; evidence theory; temporal fusion; self-adaptive combination; negotiation strategy
Cite as: Song Y F, Zhu J W, Lei L, et al. Self-adaptive combination method for temporal evidence based on negotiation strategy. Sci China Inf Sci, 2020, 63(11): 210204, doi: 10.1007/s11432-020-3045-5

Special Focus on Multi-source Information Fusion
控制 人工智能系统 RESEARCH PAPER Website SpringerLink Google Scholar Supplementary Cited in SCI: 13

Evidential combination of augmented multi-source of information based on domain adaptation
Huang, Linqing; Liu, Zhunga; Pan, Quan; Dezert, Jean
Sci China Inf Sci, 2020, 63(11): 210203
Keywords: information fusion; domain adaptation; evidence theory; belief functions; pattern classification
Cite as: Huang L Q, Liu Z G, Pan Q, et al. Evidential combination of augmented multi-source of information based on domain adaptation. Sci China Inf Sci, 2020, 63(11): 210203, doi: 10.1007/s11432-020-3080-3

控制 人工智能系统 LETTER Website SpringerLink Google Scholar Supplementary Cited in SCI: 3

Keywords: synchronization tracking control; unmanned surface vehicles; connectivity preservation; prescribed performance; adaptive control
Cite as: He S D, Dai S L, Dong C. Adaptive synchronization control of uncertain multiple USVs with prescribed performance and preserved connectivity. Sci China Inf Sci, 2022, 65(9): 199201, doi: 10.1007/s11432-020-3174-7

Special Focus on Multi-source Information Fusion
控制 人工智能系统 RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 2

Active learning based on belief functions
Zhang, Shixing; Han, Deqiang; Yang, Yi
Sci China Inf Sci, 2020, 63(11): 210205
Keywords: active learning; uncertainty sampling; belief functions; generalized linear model
Cite as: Zhang S X, Han D Q, Yang Y. Active learning based on belief functions. Sci China Inf Sci, 2020, 63(11): 210205, doi: 10.1007/s11432-020-3082-9

控制 人工智能系统 REVIEW Website SpringerLink Google Scholar Cited in SCI: 2

A review of system modeling, assessment and operational optimization for integrated energy systems
Zhao, Jun; Chen, Long; Wang, Yinan; Liu, Quanli
Sci China Inf Sci, 2021, 64(9): 191201
Keywords: ies; system modeling; assessment; operational optimization; data-driven
Cite as: Zhao J, Chen L, Wang Y N, et al. A review of system modeling, assessment and operational optimization for integrated energy systems. Sci China Inf Sci, 2021, 64(9): 191201, doi: 10.1007/s11432-020-3176-x

Special Focus on Multi-source Information Fusion
控制 人工智能系统 RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 0

Fully distributed variational Bayesian non-linear filter with unknown measurement noise in sensor networks
Liu, Yu; Liu, Jun; Xu, Congan; Li, Gang; He, You
Sci China Inf Sci, 2020, 63(11): 210202
Keywords: sensor networks; distributed state estimation; cubature kaiman filter; variational bayesian inference; kullback-leibler divergence
Cite as: Liu Y, Liu J, Xu C A, et al. Fully distributed variational Bayesian non-linear filter with unknown measurement noise in sensor networks. Sci China Inf Sci, 2020, 63(11): 210202, doi: 10.1007/s11432-020-3000-1

控制 人工智能系统 RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 0

Wearable wireless real-time cerebral oximeter for measuring regional cerebral oxygen saturation
Si, Juanning; Zhang, Xin; Li, Meng; Yu, Jian; Zhang, Zhiyong; He, Qing; Chen, Shaohua; Zhu, Lianqing; Jiang, Tianzi
Sci China Inf Sci, 2021, 64(1): 112203
Keywords: near-infrared spectroscopy; cerebral oxygen saturation; oximeter; rso2; wearable
Cite as: Si J N, Zhang X, Li M, et al. Wearable wireless real-time cerebral oximeter for measuring regional cerebral oxygen saturation. Sci China Inf Sci, 2021, 64(1): 112203, doi: 10.1007/s11432-020-2995-5

控制 人工智能系统 LETTER Website SpringerLink Google Scholar Supplementary Cited in SCI: 0

Performance analysis of fuzzy BLS using different cluster methods for classification
Feng, Shuang; Chen, C. L. Philip
Sci China Inf Sci, 2021, 64(4): 149205
Keywords: fuzzy broad learning system; clustering; fuzzy c-means; classification; tsk fuzzy system
Cite as: Feng S, Chen C L P. Performance analysis of fuzzy BLS using different cluster methods for classification. Sci China Inf Sci, 2021, 64(4): 149205, doi: 10.1007/s11432-018-9630-0

控制 人工智能系统 LETTER Website SpringerLink Google Scholar Supplementary Cited in SCI: 0

Modeling for coke quality prediction using Gaussian function and SGA
Yuan, Yan; Qu, Qilin; Cao, Weihua; Wu, Min
Sci China Inf Sci, 2022, 65(1): 119202
Keywords: coke quality; gaussian function; prediction model; selection gene algorithm; vitrinite reflectance
Cite as: Yuan Y, Qu Q L, Cao W H, et al. Modeling for coke quality prediction using Gaussian function and SGA. Sci China Inf Sci, 2022, 65(1): 119202, doi: 10.1007/s11432-019-2640-y

控制 人工智能系统 MOOP Website SpringerLink Google Scholar Homepage Cited in SCI: 0

Target tracking algorithm based on a broad learning system
Zhang, Dan; Li, Tieshan; Chen, C. L. Philip; Yang, He
Sci China Inf Sci, 2022, 65(5): 154201
Keywords: target tracking; broad learning system; selective search algorithm; multi-cue tracking; tracking adaptability
Cite as: Zhang D, Li T S, Chen C L P, et al. Target tracking algorithm based on a broad learning system. Sci China Inf Sci, 2022, 65(5): 154201, doi: 10.1007/s11432-020-3272-y

控制 人工智能系统 LETTER Website SpringerLink Google Scholar Supplementary Cited in SCI: 0

A multi-mode multi-skill project scheduling reformulation for reconnaissance mission planning
Cai, Junqi; Peng, Zhihong; Liao, Sijian; Ding, Shuxin
Sci China Inf Sci, 2022, 65(6): 169201
Keywords: reconnaissance; rcpsp; multi-mode; multi-skill; scheduling; multi-agent system
Cite as: Cai J Q, Peng Z H, Liao S J, et al. A multi-mode multi-skill project scheduling reformulation for reconnaissance mission planning. Sci China Inf Sci, 2022, 65(6): 169201, doi: 10.1007/s11432-020-2990-y

控制 人工智能系统 LETTER Website SpringerLink Google Scholar Supplementary Cited in SCI: 0

Car-following behavior modeling driven by small data sets based on mnemonic extreme gradient boosting framework
Lou, Baichuan; Li, Yufang; Lu, Xiaoding; Xu, Zhe
Sci China Inf Sci, 2022, 65(6): 169203
Keywords: car-following model; sparse data learning; xgboost; lstm; dynamic constraints
Cite as: Lou B C, Li Y F, Lu X D, et al. Car-following behavior modeling driven by small data sets based on mnemonic extreme gradient boosting framework. Sci China Inf Sci, 2022, 65(6): 169203, doi: 10.1007/s11432-020-3044-6