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语种:英语
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Auditory Feature Driven Model Predictive Control for Sound Source Approaching
期刊论文
International Journal of Control, Automation, and Systems, 2023, 卷号: 22, 期号: 2, 页码: 1-14
作者:
Wang, Zhiqing
;
Zou, Wei
;
Zhang, Wei
;
Ma, Hongxuan
;
Zhang, Chi
;
Guo, Yuxin
Adobe PDF(7966Kb)
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浏览/下载:169/47
  |  
提交时间:2023/06/20
Source approaching control, interaural time difference, robotic audition, sound source localization.
Multiple Sound Source Localization Exploiting Robot Motion and Approaching Control
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 16
作者:
Wang, Zhiqing
;
Zou, Wei
;
Su, Hu
;
Guo, Yuxin
;
Li, Donghui
收藏
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浏览/下载:105/0
  |  
提交时间:2023/11/17
Bayesian theory
entropy theory
robot audition
robot motion
sound source localization (SSL)
source approaching control
Practical Robotic Auditory Perception and Approaching Methods Based on Small-sized Microphone Array
期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, 页码: 1-16
作者:
Wang, Zhiqing
;
Zou, Wei
;
Zhang, Chi
;
Kang, Zhaobing
;
Zhu, Jiagang
Adobe PDF(9439Kb)
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浏览/下载:212/26
  |  
提交时间:2022/06/10
Aural feature extraction
robotic audition
sound source localization
source approaching control
Adaptive Fault-tolerant Control for Trajectory Tracking and Rectification of Directional Drilling
期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, 卷号: 20, 期号: 1, 页码: 334-348
作者:
Zhang, Chi
;
Zou, Wei
;
Cheng, Ningbo
;
Gao, Junshan
Adobe PDF(3031Kb)
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浏览/下载:208/29
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提交时间:2022/03/17
Fault-tolerant control (FTC)
integral sliding mode control (ISMC)
neural network (NN)
nonlinear control system
reinforcement learning (RL)
Human Parsing With Part-Aware Relation Modeling
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 25, 页码: 2601-2612
作者:
Zhang, Xiaomei
;
Chen, Yingying
;
Tang, Ming
;
Wang, Jinqiao
;
Zhu, Xiangyu
;
Lei, Zhen
Adobe PDF(6053Kb)
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浏览/下载:104/6
  |  
提交时间:2023/11/17
Human parsing
modeling
part-aware relation
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Chai, Jiajun
;
Li, Weifan
;
Zhu, Yuanheng
;
Zhao, Dongbin
;
Ma, Zhe
;
Sun, Kewu
;
Ding, Jishiyu
Adobe PDF(3402Kb)
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浏览/下载:230/24
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提交时间:2022/01/27
Multi-agent systems
Training
Task analysis
Reinforcement learning
Sun
Learning systems
Semantics
Centralized training with decentralized execution (CTDE)
multiagent
reinforcement learning
StarCraft II
Adaptive-Neural-Network-Based Trajectory Tracking Control for a Nonholonomic Wheeled Mobile Robot With Velocity Constraints
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 6, 页码: 5057-5067
作者:
Chen, Ziyu
;
Liu, Yang
;
He, Wei
;
Qiao, Hong
;
Ji, Haibo
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浏览/下载:265/0
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提交时间:2021/04/06
Mobile robots
Lyapunov methods
Adaptive systems
Artificial neural networks
Automation
Adaptive neural networks
barrier Lyapunov function (BLF)
velocity constraint
wheeled mobile robot (WMR)
Efficient Parallel Branch Network With Multi-Scale Feature Fusion for Real-Time Overhead Power Line Segmentation
期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 10, 页码: 12220-12227
作者:
Gao, Zishu
;
Yang, Guodong
;
Li, En
;
Liang, Zize
;
Guo, Rui
Adobe PDF(1352Kb)
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浏览/下载:335/54
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提交时间:2021/06/07
Convolution
Feature extraction
Image segmentation
Inspection
Wires
Sensors
Real-time systems
Real-time segmentation
lightweight network
dilated depth-wise convolution
power line inspection
Neural network-based model predictive tracking control of an uncertain robotic manipulator with input constraints
期刊论文
ISA TRANSACTIONS, 2021, 卷号: 109, 页码: 89-101
作者:
Kang, Erlong
;
Qiao, Hong
;
Gao, Jie
;
Yang, Wenjing
Adobe PDF(942Kb)
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浏览/下载:345/64
  |  
提交时间:2021/03/29
Model predictive control
Neural network
Robotic manipulator
Unknown dynamics
Online learning estimation
Input constraints
Robot learning through observation via coarse-to-fine grained video summarization
期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 99, 期号: /, 页码: 106913
作者:
Zhang, Yujia
;
Li, Qianzhong
;
Zhao, Xiaoguang
;
Tan, Min
Adobe PDF(5989Kb)
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浏览/下载:333/69
  |  
提交时间:2021/03/08
Robotic vision
Learning through observation
Coarse-to-fine video summarization