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Deterministic Learning-Based Neural PID Control for Nonlinear Robotic Systems
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1227-1238
作者:
Qinchen Yang
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浏览/下载：0/0
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提交时间：2024/04/10
Adaptive neural control (ANC)
deterministic learning (DL)
neural network (NN)
robot manipulators
Event-Triggered-Based Consensus Neural Network Tracking Control for Nonlinear Pure-Feedback Multiagent Systems With Delayed Full-State Constraints
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 11
作者:
Wang, Xiao-An
;
Zhang, Guang-Ju
;
Niu, Ben
;
Wang, Ding
;
Wang, Xiao-Mei
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浏览/下载：4/0
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提交时间：2024/02/22
Nonlinear multiagent systems
delayed full state constraints
event-triggered design
asymptotic tracking control
adaptive control
Robust Optimal Parallel Tracking Control Based on Adaptive Dynamic Programming
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2023, 页码: 14
作者:
Wei, Qinglai
;
Jiao, Shanshan
;
Wang, Fei-Yue
;
Dong, Qi
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浏览/下载：3/0
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提交时间：2023/12/21
Optimal control
Control systems
Uncertainty
Robust control
Performance analysis
Dynamic programming
Uncertain systems
ADP
NN
nonlinear robust optimal control
parallel control
tracking control
Constrained-cost adaptive dynamic programming for optimal control of discrete-time nonlinear systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 卷号: 35, 期号: 3, 页码: 3251 - 3264
作者:
Wei, Qinglai
;
Li, Tao
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浏览/下载：0/0
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提交时间：2024/05/28
Adaptive dynamic programming
approximate dynamic programming
constrained cost
optimal control
reinforcement learning
Dynamic Movement Primitives Based Robot Skills Learning
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 396-407
作者:
Ling-Huan Kong
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浏览/下载：7/0
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提交时间：2023/05/29
Dynamic movement primitives (DMPs), trajectory tracking control, robot learning from demonstrations, neural networks (NNs), adaptive control
Dynamic Movement Primitives Based Robot Skills Learning
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 396-407
作者:
Ling-Huan Kong
;
Wei He
;
Wen-Shi Chen
;
Hui Zhang
;
Yao-Nan Wang
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浏览/下载：0/0
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提交时间：2024/04/23
Dynamic movement primitives (DMPs), trajectory tracking control, robot learning from demonstrations, neural networks (NNs), adaptive control
Switching Event-Triggered Adaptive Resilient Dynamic Surface Control for Stochastic Nonlinear CPSs With Unknown Deception Attacks
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 9
作者:
Niu, Ben
;
Chen, Wendi
;
Su, Wei
;
Wang, Huanqing
;
Wang, Ding
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浏览/下载：22/0
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提交时间：2022/11/14
Switches
Stochastic processes
Security
Heuristic algorithms
Actuators
Nonlinear systems
Control design
Dynamic surface control (DSC)
stochastic nonlinear cyber-physical systems (CPSs)
switching threshold event-triggered control
unknown deception attacks
Dynamic Event-Sampled Control of Interconnected Nonlinear Systems Using Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Yang, Xiong
;
Xu, Mengmeng
;
Wei, Qinglai
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浏览/下载：30/0
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提交时间：2022/07/25
Asymptotic stability
Interconnected systems
Decentralized control
Closed loop systems
Artificial neural networks
Optimal control
Nonlinear dynamical systems
Adaptive dynamic programming (ADP)
decentralized control
event-based control
interconnected system
reinforcement learning (RL)
Event-Triggered Near-Optimal Control of Discrete-Time Constrained Nonlinear Systems With Application to a Boiler-Turbine System
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 6, 页码: 3926-3935
作者:
Wei, Qinglai
;
Lu, Jingwei
;
Zhou, Tianmin
;
Cheng, Xiang
;
Wang, Fei-Yue
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浏览/下载：26/0
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提交时间：2022/06/06
Optimal control
Nonlinear systems
Informatics
Control systems
Performance analysis
Mathematical models
Upper bound
Adaptive dynamic programming (ADP)
boiler-turbine system (BTS)
control constraints
event-triggered
nonlinear optimal control
parallel control
A New Neuro-Optimal Nonlinear Tracking Control Method via Integral Reinforcement Learning with Applications to Nuclear Systems
期刊论文
NEUROCOMPUTING, 2022, 卷号: 483, 页码: 361-369
作者:
Zhong, Weifeng
;
Wang, Mengxuan
;
Wei, Qinglai
;
Lu, Jingwei
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浏览/下载：15/0
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提交时间：2022/06/10
Integral reinforcement learning
Nuclear power reactor
Nonlinear system
Optimal tracking control
Neural networks
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