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Pantograph-Catenary Interaction Prediction Model Based on SCSA-RBF Network
期刊论文
APPLIED SCIENCES-BASEL, 2024, 卷号: 14, 期号: 1, 页码: 11
作者:
Wu, Mengzhen
;
Xu XH(许向红)
;
Zhang HC(张颢辰)
;
Zhou R(周睿)
;
Wang, Jianshan
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浏览/下载:0/0
  |  
提交时间:2024/02/19
pantograph-catenary interaction prediction model
pantograph-catenary contact force
SCSA-RBF network
Event-Triggered-Based Consensus Neural Network Tracking Control for Nonlinear Pure-Feedback Multiagent Systems With Delayed Full-State Constraints
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 11
作者:
Wang, Xiao-An
;
Zhang, Guang-Ju
;
Niu, Ben
;
Wang, Ding
;
Wang, Xiao-Mei
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浏览/下载:0/0
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提交时间:2024/02/22
Nonlinear multiagent systems
delayed full state constraints
event-triggered design
asymptotic tracking control
adaptive control
Dynamic Parameter Optimization of High-Speed Pantograph Based on Swarm Intelligence and Machine Learning
期刊论文
INTERNATIONAL JOURNAL OF APPLIED MECHANICS, 2023, 页码: 19
作者:
Zhou R(周睿)
;
Xu XH(许向红)
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浏览/下载:10/0
  |  
提交时间:2023/10/23
Contact force of pantograph-catenary system
selective crow search algorithm
surrogate model
multi-parameter optimization
深海着陆车形体阻力分析及艏部型线优化设计
期刊论文
机械强度, 2023, 卷号: 45, 期号: 5, 页码: 1265-1270
作者:
张子尧
;
周悦
;
孙宇
;
兰彦军
;
郭威
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  |  
浏览/下载:0/0
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提交时间:2023/12/12
计算流体力学(CFD)
Drag
Optimal design
Bow modeled line
Computational Fluid Dynamics (CFD)
深海着陆车
阻力
优化设计
艏部型线
计算流体力学(CFD)
Switching Event-Triggered Adaptive Resilient Dynamic Surface Control for Stochastic Nonlinear CPSs With Unknown Deception Attacks
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 9
作者:
Niu, Ben
;
Chen, Wendi
;
Su, Wei
;
Wang, Huanqing
;
Wang, Ding
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  |  
浏览/下载:20/0
  |  
提交时间:2022/11/14
Switches
Stochastic processes
Security
Heuristic algorithms
Actuators
Nonlinear systems
Control design
Dynamic surface control (DSC)
stochastic nonlinear cyber-physical systems (CPSs)
switching threshold event-triggered control
unknown deception attacks
Vector solid texture synthesis using unified RBF-based representation and optimization
期刊论文
VISUAL COMPUTER, 2022, 页码: 15
作者:
Qian, Yinling
;
Shi, Jian
;
Sun, Hanqiu
;
Chen, Yanyun
;
Wang, Qiong
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浏览/下载:17/0
  |  
提交时间:2022/07/25
Texture synthesis
Vector texture
Solid texture
Texture modeling
Assessment of Three-Dimensional Interpolation Method in Hydrologic Analysis in the East China Sea
期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 卷号: 10, 期号: 7, 页码: 20
作者:
Gao, Yuchun
;
Guo, Junting
;
Wang, Jianfeng
;
Lv, Xianqing
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  |  
浏览/下载:18/0
  |  
提交时间:2022/11/11
3D RBF interpolation
cross-validation
temperature and salinity
East China Sea
sea surface temperature
Milling residual stress of macro-forecast based on RBF and micro-analysis based on molecular dynamics
期刊论文
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022, 卷号: 28, 期号: 5, 页码: 1385-1392
作者:
Jin, Lan
;
Zhang, Xuefeng
;
Xie, Liming
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  |  
浏览/下载:11/0
  |  
提交时间:2022/06/20
Forecasting
Functions
Milling (machining)
Molecular dynamics
Residual stresses
Surface stress
Turning
Cutting parameters
Function analysis
Micro analysis
Neural network predictions
Performance
Prediction accuracy
Radial basis function neural networks (RBF)
Simulation
Surface residual stress
Workpiece
A Control Framework for Adaptation of Training Task and Robotic Assistance for Promoting Motor Learning With an Upper Limb Rehabilitation Robot
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 11
作者:
Wang, Chen
;
Peng, Liang
;
Hou, Zeng-Guang
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/06/10
Robots
Trajectory
Task analysis
Training
Oscillators
Rehabilitation robotics
Real-time systems
Assist as needed (AAN)
motor learning
nonlinear adaptive control
rehabilitation robotics
Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:
Lu, Chao
;
Lv, Chen
;
Gong, Jianwei
;
Wang, Wenshuo
;
Cao, Dongpu
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/06/10
Vehicles
Adaptation models
Data models
Hidden Markov models
Knowledge transfer
Transfer learning
Training
Driver behaviour
driver model adaptation
transfer learning
importance weight
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