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Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control of Nonlinear Interconnected Systems With Unmodeled Dynamics and Prescribed Performance
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:
Cheng, Ting-Ting
;
Niu, Ben
;
Zhang, Jia-Ming
;
Wang, Ding
;
Wang, Zhen-Hua
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2022/01/27
Interconnected systems
Artificial neural networks
Closed loop systems
Multi-agent systems
Asymptotic stability
Switches
Stability criteria
Asymptotic tracking control
event-triggered control
neural networks (NNs)
nonlinear interconnected systems
prescribed performance control (PPC)
unmodeled dynamics
An Implicit Function-Based Adaptive Control Scheme for Noncanonical-Form Discrete-Time Neural-Network Systems
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 12, 页码: 5728-5739
作者:
Zhang, Yanjun
;
Tao, Gang
;
Chen, Mou
;
Chen, Wen
;
Zhang, Zhengqiang
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  |  
浏览/下载:10/0
  |  
提交时间:2022/04/02
Adaptive control
Uncertainty
Nonlinear systems
Adaptation models
Asymptotic stability
Stability analysis
Adaptive control
asymptotic output tracking
discrete time (DT)
implicit function
noncanonical form
Neuro-Optimal Trajectory Tracking With Value Iteration of Discrete-Time Nonlinear Dynamics
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Wang, Ding
;
Ha, Mingming
;
Cheng, Long
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/01/27
Trajectory
Heuristic algorithms
Convergence
Trajectory tracking
Stability criteria
Optimal control
Dynamic programming
Adaptive critic design
discrete-time nonlinear plants
neuro-optimal trajectory tracking
uniformly ultimately bounded stability
value iteration
Fixed-time adaptive observer-based time-varying formation control for multi-agent systems with directed topologies
期刊论文
NEUROCOMPUTING, 2021, 卷号: 463, 页码: 483-494
作者:
Xiong, Tianyi
;
Gu, Zhou
;
Yi, Jianqiang
;
Pu, Zhiqiang
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  |  
浏览/下载:44/0
  |  
提交时间:2021/11/04
Directed topologies
Formation control
Fixed-time observer
Multi-agent systems
A neural network-based model predictive controller for displacement tracking of piezoelectric actuator with feedback delays
期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 卷号: 18, 期号: 6, 页码: 11
作者:
Du, Zhangming
;
Zhou, Chao
;
Cao, Zhiqiang
;
Wang, Shuo
;
Cheng, Long
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2021/12/28
Piezoelectric actuator
neural network
displacement tracking
model predictive control
A New Integral Critic Learning for Optimal Tracking Control with Applications to Boiler-Turbine Systems
期刊论文
OPTIMAL CONTROL APPLICATIONS & METHODS, 2021, 页码: 16
作者:
Wei, Qinglai
;
Liu, Yujia
;
Lu, Jingwei
;
Ling, Jun
;
Luan, Zhenhua
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浏览/下载:26/0
  |  
提交时间:2021/12/28
adaptive dynamic programming
boiler-turbine system
integral reinforcement learning
neural network
policy iteration
Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:
Yu, Xinbo
;
Li, Bin
;
He, Wei
;
Feng, Yanghe
;
Cheng, Long
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  |  
浏览/下载:26/0
  |  
提交时间:2022/02/16
Robots
Robot sensing systems
Task analysis
Force
Impedance
Sensors
Collaboration
Error constraint
human-robot co-transportation
input constraint
neural networks (NNs)
vision and force sensing
Neural Control of Robot Manipulators With Trajectory Tracking Constraints and Input Saturation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4231-4242
作者:
Yang, Chenguang
;
Huang, Dianye
;
He, Wei
;
Cheng, Long
收藏
  |  
浏览/下载:73/0
  |  
提交时间:2021/11/03
Manipulators
Lyapunov methods
Robot kinematics
Trajectory tracking
Automation
Barrier Lyapunov function (BLF)
constrained control
input saturation
robot manipulator
Adaptive Event-triggered Tracking Control for A Manipulator Based on Dynamic Neural Network
会议论文
重庆, 2021-7
作者:
Gao jie
;
Zhang xiaodong
;
Qiao hong
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2022/06/14
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
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2021/11/03
pneumatic artificial muscles
adaptive T-S fuzzy model
LSTM neural network model
model predictive control
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