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文献类型:期刊论文
专题:复杂系统认知与决策实验室
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Removing Feasibility Conditions on Adaptive Neural Tracking Control of Nonlinear Time-Delay Systems With Time-Varying Powers, Input, and Full-State Constraints
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 4, 页码: 2553-2564
作者:
Guo, Chao
;
Xie, Xue-Jun
;
Hou, Zeng-Guang
收藏
  |  
浏览/下载:401/0
  |  
提交时间:2022/06/10
Nonlinear systems
Time-varying systems
Control design
Adaptive systems
Delay effects
Artificial neural networks
Automation
Feasibility conditions
input and full-state constraints
neural networks (NNs)
nonlinear systems
time-varying powers
Finite-Time Stability Control of Uncertain Nonlinear Systems With Self-Limiting Control Terms
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 6
作者:
Zhu, Jiaming
;
Yang, Yuequan
;
Zhang, Tianping
;
Cao, Zhiqiang
收藏
  |  
浏览/下载:259/0
  |  
提交时间:2022/06/06
Artificial neural networks
Nonlinear systems
Control systems
Adaptive systems
Backstepping
Biological neural networks
Trajectory
Backstepping
dynamic surface control (DSC)
finite-time tracking
neural network (NN)
self-limiting term
Self-Learning Robust Control Synthesis and Trajectory Tracking of Uncertain Dynamics
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 1, 页码: 278-286
作者:
Wang, Ding
;
Cheng, Long
;
Yan, Jun
收藏
  |  
浏览/下载:257/0
  |  
提交时间:2022/03/17
Robust control
Optimal control
Cost function
Trajectory tracking
Nonlinear systems
Feedback control
Dynamical systems
Adaptive critic learning
control synthesis
neural networks
optimization
robust stabilization
tracking design
Adaptive Takagi-Sugeno fuzzy model and model predictive control of pneumatic artificial muscles
期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2021, 页码: 9
作者:
Xia XiuZe
;
Cheng Long
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  |  
浏览/下载:229/0
  |  
提交时间:2021/11/03
pneumatic artificial muscles
adaptive T-S fuzzy model
LSTM neural network model
model predictive control
Force Sensorless Admittance Control for Teleoperation of Uncertain Robot Manipulator Using Neural Networks
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 5, 页码: 3282-3292
作者:
Yang, Chenguang
;
Peng, Guangzhu
;
Cheng, Long
;
Na, Jing
;
Li, Zhijun
收藏
  |  
浏览/下载:290/0
  |  
提交时间:2021/05/31
Robot sensing systems
Force
Robot kinematics
Artificial neural networks
Admittance
Torque
Admittance control
error transformation
force observer
Kinect
neural adaptive control
neural networks (NNs)
robot
Asymmetric Bounded Neural Control for an Uncertain Robot by State Feedback and Output Feedback
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 3, 页码: 1735-1746
作者:
Kong, Linghuan
;
He, Wei
;
Dong, Yiting
;
Cheng, Long
;
Yang, Chenguang
;
Li, Zhijun
收藏
  |  
浏览/下载:214/0
  |  
提交时间:2021/03/29
Neural networks
Adaptive systems
Nonlinear systems
Manipulator dynamics
Uncertainty
adaptive control
asymmetrically bounded inputs
neural networks
robotic manipulator
Learning impedance control of robots with enhanced transient and steady-state control performances
期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 9, 页码: 13
作者:
Sun, Tairen
;
Cheng, Long
;
Peng, Liang
;
Hou, Zengguang
;
Pan, Yongping
收藏
  |  
浏览/下载:211/0
  |  
提交时间:2020/09/07
robot
adaptive control
neural network
impedance control
parameter convergence
LMI-based robust adaptive neural network control for Euler-Bernoulli beam with uncertain parameters and disturbances
期刊论文
INTERNATIONAL JOURNAL OF CONTROL, 2020, 页码: 10
作者:
Xing, Xueyan
;
Yang, Hongjun
;
Liu, Jinkun
;
Wang, Shuquan
收藏
  |  
浏览/下载:182/0
  |  
提交时间:2020/08/03
Distributed parameter systems
boundary control
LMIs
robust adaptive neural network control
Fixed-time observer based adaptive neural network time-varying formation tracking control for multi-agent systems via minimal learning parameter approach
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 9, 页码: 1147-1157
作者:
Xiong, Tianyi
;
Pu, Zhiqiang
;
Yi, Jianqiang
;
Tao, Xinlong
收藏
  |  
浏览/下载:341/0
  |  
提交时间:2020/07/06
neurocontrollers
multi-agent systems
Lyapunov methods
closed loop systems
nonlinear control systems
time-varying systems
adaptive control
observers
uncertain systems
position control
radial basis function networks
robust control
control system synthesis
learning (artificial intelligence)
minimal learning-parameter approach
fixed-time CLSO
time-varying formation tracking problem
formation tracking control scheme
multiagent systems
time-varying formation tracking control problem
model uncertainties
velocity measurements
radial basis function neural networks
fixed-time cascaded leader state observer
fixed-time observer-based adaptive neural network time-varying formation tracking control
RBFNN-based adaptive control scheme
Estimation of human impedance and motion intention for constrained human-robot interaction
期刊论文
NEUROCOMPUTING, 2020, 卷号: 390, 页码: 268-279
作者:
Yu, Xinbo
;
Li, Yanan
;
Zhang, Shuang
;
Xue, Chengqian
;
Wang, Yu
收藏
  |  
浏览/下载:202/0
  |  
提交时间:2020/06/22
Human motion intention estimation
Impedance learning
Adaptive neural network control
Full-state constraints
Barrier Lyapunov functions