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自动化研究所 [14]
数学与系统科学研究院 [4]
力学研究所 [3]
兰州理工大学 [3]
合肥物质科学研究院 [3]
武汉岩土力学研究所 [2]
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期刊论文 [34]
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2022 [34]
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Optimal Spin Polarization Control for the Spin-Exchange Relaxation-Free System Using Adaptive Dynamic Programming
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:
Wang, Ruigang
;
Wang, Zhuo
;
Liu, Sixun
;
Li, Tao
;
Li, Feng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/11/17
3-D spin polarization control (3DSPC)
adaptive dynamic programming (ADP)
asymmetric input constraint
multicritic multiaction neural networks (MCMANNs)
multiphysics
multiplayer nonzero-sum game (MP-NZSG)
spin-exchange relaxation-free (SERF).
A brain-inspired robot pain model based on a spiking neural network
期刊论文
FRONTIERS IN NEUROROBOTICS, 2022, 卷号: 16, 页码: 13
作者:
Feng, Hui
;
Zeng, Yi
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  |  
浏览/下载:11/0
  |  
提交时间:2023/02/22
brain-inspired intelligent robot
robot pain
spiking neural network
free energy principle
spike-time-dependent-plasticity
Differential growth dynamics control aerial organ geometry
期刊论文
CURRENT BIOLOGY, 2022, 卷号: 32, 期号: 22, 页码: 4854-+
作者:
Peng, Ziyuan
;
Alique, Daniel
;
Xiong, Yuanyuan
;
Hu, Jinrong
;
Cao, Xiuwei
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  |  
浏览/下载:14/0
  |  
提交时间:2023/02/07
Robust mobile robot navigation in cluttered environments based on hybrid adaptive neuro-fuzzy inference and sensor fusion
期刊论文
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2022, 卷号: 34, 期号: 10, 页码: 9060-9070
作者:
Haider, Muhammad Husnain
;
Wang, Zhonglai
;
Khan, Abdullah Aman
;
Ali, Hub
;
Zheng, Hao
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  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
ANFIS
GPS
Mobile robot
Obstacle avoidance
Autonomous navigation
Dual-variable-horizon peridynamics and continuum mechanics coupling modeling and adaptive fracture simulation in porous materials
期刊论文
ENGINEERING WITH COMPUTERS, 2022, 页码: 21
作者:
Shen Shangkun
;
Yang Zihao
;
Cui Junzhi
;
Zhang Jieqiong
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  |  
浏览/下载:6/0
  |  
提交时间:2023/02/07
Porous materials
Peridynamics
Surface correction
Hybrid model
Adaptive algorithm
Fracture simulation
Robot Navigation Based on Situational Awareness
期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 3, 页码: 869-881
作者:
Liu, Xilong
;
Cao, Zhiqiang
;
Yu, Yingying
;
Ren, Guangli
;
Yu, Junzhi
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  |  
浏览/下载:17/0
  |  
提交时间:2022/11/14
Navigation
Robots
Robot sensing systems
Fitting
Sensors
Computational modeling
Three-dimensional displays
Path perception
robot navigation
situational awareness fitting network
A spectral method for stochastic fractional PDEs using dynamically-orthogonal/bi-orthogonal decomposition
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 461, 页码: 17
作者:
Zhao, Yue
;
Mao, Zhiping
;
Guo, Ling
;
Tang, Yifa
;
Karniadakis, George Em
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  |  
浏览/下载:9/0
  |  
提交时间:2023/02/07
Uncertainty quantification
Anomalous transport
Quasi Monte Carlo simulation
Generalized polynomial chaos
Long-time integration
Poly-fractonomials
A Multi-Target Passive Location Method Based on GDOP Value and Beam Resolution
期刊论文
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2022, 卷号: 36, 期号: 8
作者:
Miao, Sheng
;
Dong, Liang
;
Wang, Xiaorui
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  |  
浏览/下载:24/0
  |  
提交时间:2022/07/18
Sensor network
time difference of arrival
multi-target location
unsupervised clustering
narrow-band beam forming
Artificial neural network based response surface for data-driven dimensional analysis
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 459, 页码: 19
作者:
Xu, Zhaoyue
;
Zhang, Xinlei
;
Wang, Shizhao
;
He, Guowei
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  |  
浏览/下载:17/0
  |  
提交时间:2022/07/18
Artificial neural network
Response surface
Data-driven dimensional analysis
Machine learning
Fluid-structure interaction
Dynamic Event-Sampled Control of Interconnected Nonlinear Systems Using Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Yang, Xiong
;
Xu, Mengmeng
;
Wei, Qinglai
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/07/25
Asymptotic stability
Interconnected systems
Decentralized control
Closed loop systems
Artificial neural networks
Optimal control
Nonlinear dynamical systems
Adaptive dynamic programming (ADP)
decentralized control
event-based control
interconnected system
reinforcement learning (RL)
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