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科研机构
自动化研究所 [203]
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期刊论文 [142]
学位论文 [38]
会议论文 [23]
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2024 [11]
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2020 [16]
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An Investigation of Implantable Capacitive Coupling Intra-body Power Transfer based on Full-band Loss Compensation
期刊论文
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2024, 卷号: 39, 期号: 7, 页码: 8904-8915
作者:
Han, Cheng
;
Yu, Shan
;
Zhang, Zhiwei
;
Mao, Jingna
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/07/22
Electrodes
Integrated circuit modeling
Impedance
Analytical models
Couplings
Propagation losses
Capacitance
Capacitive coupled intra-body power transfer (CC-IBPT)
full-band loss compensation (FBLC)
implantable medical devices (IMDs)
Online Off-Policy Reinforcement Learning for Optimal Control of Unknown Nonlinear Systems Using Neural Networks
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 页码: 11
作者:
Zhu, Liao
;
Wei, Qinglai
;
Guo, Ping
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/07/03
Adaptive dynamic programming
nonlinear systems
online learning
optimal control
reinforcement learning (RL)
MPIGAN: An end-to-end deep based generative framework for high-resolution magnetic particle imaging reconstruction
期刊论文
MEDICAL PHYSICS, 2024, 页码: 18
作者:
Zhao, Jing
;
Shen, Yusong
;
Liu, Xinyi
;
Hou, Xiaoyuan
;
Ding, Xuetong
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/07/03
direct reconstruction
generative adversarial network
high-resolution
magnetic particle imaging
simulation
First/second-order predefined-time convergent ZNN models for time-varying quadratic programming and robotic manipulator application
期刊论文
ISA TRANSACTIONS, 2024, 卷号: 146, 页码: 42-49
作者:
Wen, Hongsong
;
Qu, Youran
;
He, Xing
;
Sun, Shiying
;
Yang, Hongjun
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/07/03
Zeroing neural network (ZNN)
Predefined-time convergence
Time-varying quadratic programming (TVQP)
First-order predefined-time convergent ZNN
(FPTZNN)
Second-order predefined-time convergent ZNN
(SPTZNN)
An End-to-End Deep Reinforcement Learning Based Modular Task Allocation Framework for Autonomous Mobile Systems
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 页码: 15
作者:
Ma, Song
;
Ruan, Jingqing
;
Du, Yali
;
Bucknall, Richard
;
Liu, Yuanchang
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/05/30
Deep reinforcement learning
task allocation
multi-agent planning
field robotics
Autogeneration of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator
期刊论文
IEEE TRANSACTIONS ON ROBOTICS, 2024, 卷号: 40, 页码: 903-918
作者:
Pan, Jie
;
Li, Dongyue
;
Wang, Jian
;
Zhang, Pengfei
;
Shao, Jinyan
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/02/21
Bayesian optimization (BO)
control-oriented model identification
Koopman operator
robot control
Event-Triggered Bipartite Consensus Tracking and Vibration Control of Flexible Timoshenko Manipulators Under Time-Varying Actuator Faults
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1190-1201
作者:
Xiangqian Yao
;
Hao Sun
;
Zhijia Zhao
;
Yu Liu
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/04/10
Bipartite consensus tracking
event-triggered control
multiple manipulators
neural networks
time-varying actuator faults
Ultimately Bounded Output Feedback Control for Networked Nonlinear Systems With Unreliable Communication Channel: A Buffer-Aided Strategy
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1566-1578
作者:
Yuhan Zhang
;
Zidong Wang
;
Lei Zou
;
Yun Chen
;
Guoping Lu
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/06/07
Buffer-aided strategy
neural networks
nonlinear control
output-feedback control
unreliable communication channel
Guaranteed Cost Attitude Tracking Control for Uncertain Quadrotor Unmanned Aerial Vehicle Under Safety Constraints
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1447-1457
作者:
Qian Ma
;
Peng Jin
;
Frank L. Lewis
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/05/22
Attitude tracking control
quadrotor unmanned aerial vehicle (QUAV)
reinforcement learning
safety constraints
uncertain disturbances
ToolBot: Learning Oriented Keypoints for Tool Usage From Self-Supervision
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 卷号: 20, 期号: 1, 页码: 723-731
作者:
Wei, Junhang
;
Hao, Peng
;
Wang, Shuo
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/07/03
Data-efficient robot learning
self-superv ision
tool usage
visuomotor policy
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