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科研机构
心理研究所 [2]
自动化研究所 [2]
重庆绿色智能技术研究... [1]
沈阳自动化研究所 [1]
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期刊论文 [6]
发表日期
2020 [6]
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Solving Trajectory Optimization Problems in the Presence of Probabilistic Constraints
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 10, 页码: 4332-4345
作者:
Chai, Runqi
;
Savvaris, Al
;
Tsourdos, Antonios
;
Chai, Senchun
;
Xia, Yuanqing
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2021/01/07
Planning
Probabilistic logic
Trajectory optimization
Optimal control
Prediction algorithms
Approximation function
chance-constrained
nonlinear programming
probabilistic constraints
trajectory optimization
Does Approach-Avoidance Behavior in Response to Ambiguous Cues Reflect Depressive Interpretation Bias? Related but Distinct
期刊论文
COGNITIVE THERAPY AND RESEARCH, 2020, 卷号: 44, 页码: 1091–1105
作者:
Lin, Xiao-Xiao
;
Si, Shang-Wen
;
Gao, Rui-Rui
;
Sun, Ya-Bin
;
Wang, Yu-Zheng
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  |  
浏览/下载:38/0
  |  
提交时间:2020/08/24
Interpretation bias
Depression
Ambiguity
Judgement bias test
Approach-avoidance
Obstacle Avoidance and Tracking Control of Redundant Robotic Manipulator: An RNN-Based Metaheuristic Approach
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 7, 页码: 4670-4680
作者:
Khan, Ameer Hamza
;
Li, Shuai
;
Luo, Xin
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2020/08/24
Manipulators
Collision avoidance
Trajectory
Optimization
Task analysis
Kinematics
Metaheuristic optimization
obstacle avoidance
recurrent neural network (RNN)
tracking control
The Neural Mechanism of the Social Framing Effect: Evidence from fMRI and tDCS Studies
期刊论文
JOURNAL OF NEUROSCIENCE, 2020, 卷号: 40, 期号: 18, 页码: 3646-3656
作者:
Liu, Jie
;
Gu, Ruolei
;
Liao, Chong
;
Lu, Juanzhi
;
Fang, Yuxing
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  |  
浏览/下载:57/0
  |  
提交时间:2020/06/06
decision-making
functional magnetic resonance imaging
multivoxel pattern analysis
right temporoparietal junction
social framing effect
transcranial direct current stimulation
Finite-time Control of Discrete-time Systems With Variable Quantization Density in Networked Channels
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1394-1402
作者:
Yiming Cheng
;
Xu Zhang
;
Tianhe Liu
;
Changhong Wang
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/03/11
Finite-time
${\cal H}_{\infty }$ controller design
quantization-error-dependent Lyapunov function
quantized signal
Path Planning Method With Improved Artificial Potential Field-A Reinforcement Learning Perspective
期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 135513-135523
作者:
Yao QF(么庆丰)
;
Zheng ZY(郑泽宇)
;
Qi, Liang
;
Yuan HT(苑海涛)
;
Guo XW(郭希旺)
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  |  
浏览/下载:7/0
  |  
提交时间:2020/08/22
Path planning
Learning (artificial intelligence)
Gravity
Potential energy
Mobile agents
Real-time systems
Reinforcement learning
neural network
potential field
path planning
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