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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

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

A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems
Chen, Xiaoqian; Gong, Zhiqiang; Zhao, Xiaoyu; Zhou, Weien; Yao, Wen
Sci China Inf Sci, 2023, 66(5): 152203
Keywords: temperature field reconstruction; heat-source systems; computational modeling; temperature field reconstruction dataset; machine learning surrogate modeling; deep learning
Cite as: Chen X Q, Gong Z Q, Zhao X Y, et al. A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems. Sci China Inf Sci, 2023, 66(5): 152203, doi: 10.1007/s11432-021-3645-4

MOOP Supplementary Video Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 4

Learning ultrasound scanning skills from human demonstrations
Deng, Xutian; Lei, Ziwei; Wang, Yi; Cheng, Wen; Guo, Zhao; Yang, Chenguang; Li, Miao
Sci China Inf Sci, 2022, 65(8): 184201
Keywords: robotic ultrasound; robotic skill learning; learning from demonstration; force control; compliant manipulation
Cite as: Deng X T, Lei Z W, Wang Y, et al. Learning ultrasound scanning skills from human demonstrations. Sci China Inf Sci, 2022, 65(8): 184201, doi: 10.1007/s11432-021-3363-0

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Broad learning system based on the quantized minimum error entropy criterion
Zhang, Simin; Liu, Zhulin; Chen, C. L. Philip
Sci China Inf Sci, 2022, 65(12): 222203
Keywords: broad learning system; quantized minimum error entropy; robustness; minimum error entropy; convergence
Cite as: Zhang S M, Liu Z L, Chen C L P. Broad learning system based on the quantized minimum error entropy criterion. Sci China Inf Sci, 2022, 65(12): 222203, doi: 10.1007/s11432-022-3560-8

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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

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Obstacle avoidance in human-robot cooperative transportation with force constraint
Zhang, Ying; Yang, Chenguang; Xu, Sheng; Ou, Yongsheng
Sci China Inf Sci, 2023, 66(1): 119205
Keywords: human-robot interaction; dynamic movement primitives; Gaussian mixture regression; GMR; collision avoidance; force constrain
Cite as: Zhang Y, Yang C G, Xu S, et al. Obstacle avoidance in human-robot cooperative transportation with force constraint. Sci China Inf Sci, 2023, 66(1): 119205, doi: 10.1007/s11432-021-3389-7

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Prior area searching for energy-based sound source localization
Gao, Feng; Cai, Yeyun; Deng, Fang; Yu, Chengpu; Chen, Jie
Sci China Inf Sci, 2022, 65(12): 222204
Keywords: prior area searching; sound source localization; adaptively initialization; iterative search; indoor environment
Cite as: Gao F, Cai Y Y, Deng F, et al. Prior area searching for energy-based sound source localization. Sci China Inf Sci, 2022, 65(12): 222204, doi: 10.1007/s11432-022-3568-2

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

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

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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

PERSPECTIVE Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Feedback is all you need: from ChatGPT to autonomous driving
Chen, Hong; Yuan, Kang; Huang, Yanjun; Guo, Lulu; Wang, Yulei; Chen, Jie
Sci China Inf Sci, 2023, 66(6): 166201
Keywords: feedback; human feedback; ChatGPT; autonomous driving; autonomous intelligent systems
Cite as: Chen H, Yuan K, Huang Y J, et al. Feedback is all you need: from ChatGPT to autonomous driving. Sci China Inf Sci, 2023, 66(6): 166201, doi: 10.1007/s11432-023-3740-x

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A novel frequency-dependent hysteresis model based on improved neural Turing machine
Wu, Yinan; Fang, Yongchun; Fan, Zhi; Liu, Cunhuan
Sci China Inf Sci, 2023, 66(1): 119203
Keywords: piezoelectric actuator; hysteresis model; frequency-dependence; neural Turing machine; neural network
Cite as: Wu Y N, Fang Y C, Fan Z, et al. A novel frequency-dependent hysteresis model based on improved neural Turing machine. Sci China Inf Sci, 2023, 66(1): 119203, doi: 10.1007/s11432-020-3157-5

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

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

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Constrained reinforcement learning with statewise projection: a control barrier function approach
Jin, Xinze; Li, Kuo; Jia, Qingshan
Sci China Inf Sci, 2024, 67(3): 132202
Keywords: reinforcement learning; safe projection; control barrier function
Cite as: Jin X Z, Li K, Jia Q S. Constrained reinforcement learning with statewise projection: a control barrier function approach. Sci China Inf Sci, 2024, 67(3): 132202, doi: 10.1007/s11432-023-3872-9

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Optics-driven drone
Li, Xuelong; Huang, Guan; Wang, Zhigang; Zhao, Bin
Sci China Inf Sci, 2024, 67(2): 124201
Keywords: drone; artificial intelligence; adaptive turbulence compensation; intelligent visual tracking; autonomous power regulation; laser wireless power transmission
Cite as: Li X L, Huang G, Wang Z G, et al. Optics-driven drone. Sci China Inf Sci, 2024, 67(2): 124201, doi: 10.1007/s11432-023-3917-2

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Cuckoo search approach for automatic train regulation under capacity limitation
Hou, Zhuopu; Zhou, Min; Roberts, Clive; Dong, Hairong
Sci China Inf Sci, 2023, 66(4): 149204
Keywords: automatic train regulation; capacity limitation; cuckoo search algorithm; passenger flow information ; Train dwell time model
Cite as: Hou Z P, Zhou M, Roberts C, et al. Cuckoo search approach for automatic train regulation under capacity limitation. Sci China Inf Sci, 2023, 66(4): 149204, doi: 10.1007/s11432-020-3254-0