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浏览/检索结果:
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Research, Application and Future Prospect of Mode Decomposition in Fluid Mechanics
期刊论文
SYMMETRY-BASEL, 2024, 卷号: 16, 期号: 2, 页码: 22
作者:
Long, Yun
;
Guo, Xi'an
;
Xiao TB(肖天白)
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浏览/下载:0/0
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提交时间:2024/04/15
fluid mechanics
modal decomposition technology
proper orthogonal decomposition
Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 344-361
作者:
Yunfeng Hu
;
Chong Zhang
;
Bo Wang
;
Jing Zhao
;
Xun Gong
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  |  
浏览/下载:2/0
  |  
提交时间:2024/01/23
Adaptive control
control system synthesis
data-driven iterative learning control
neurocontroller
nonlinear discrete time systems
Monte Carlo-based reinforcement learning control for unmanned aerial vehicle systems
期刊论文
NEUROCOMPUTING, 2022, 卷号: 507, 页码: 282-291
作者:
Wei, Qinglai
;
Yang, Zesheng
;
Su, Huaizhong
;
Wang, Lijian
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  |  
浏览/下载:39/0
  |  
提交时间:2022/09/19
Reinforcement learning
Adaptive dynamic programming (ADP)
UAV control
Monte Carlo simulation
Neural networks
Event-Triggered Near-Optimal Control for Unknown Discrete-Time Nonlinear Systems Using Parallel Control
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 15
作者:
Lu, Jingwei
;
Wei, Qinglai
;
Zhou, Tianmin
;
Wang, Ziyang
;
Wang, Fei-Yue
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  |  
浏览/下载:14/0
  |  
提交时间:2022/07/25
Nonlinear systems
Optimal control
Control systems
Performance analysis
Stability criteria
Iterative algorithms
Heuristic algorithms
Adaptive dynamic programming (ADP)
event-triggered control
near-optimal control
parallel control
reinforcement learning (RL)
unknown nonlinear systems
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241
作者:
Zhu, Yuanheng
;
Zhao, Dongbin
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浏览/下载:15/0
  |  
提交时间:2022/06/10
Games
Nash equilibrium
Mathematical model
Markov processes
Convergence
Dynamic programming
Training
Deep reinforcement learning (DRL)
generalized policy iteration (GPI)
Markov game (MG)
Nash equilibrium
Q network
zero sum
Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 7, 页码: 1262-1272
作者:
Mingming Ha
;
Ding Wang
;
Derong Liu
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浏览/下载:11/0
  |  
提交时间:2022/06/27
Adaptive critic design
adaptive dynamic programming (ADP)
approximate dynamic programming
discrete-time nonlinear systems
reinforcement learning
stability analysis
tracking control
value iteration (VI)
A PD-Type State-Dependent Riccati Equation With Iterative Learning Augmentation for Mechanical Systems
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1499-1511
作者:
Saeed Rafee Nekoo
;
José Ángel Acosta
;
Guillermo Heredia
;
Anibal Ollero
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浏览/下载:22/0
  |  
提交时间:2022/08/01
Closed-loop
iterative learning control (ILC)
PD-type
SDRE
SDDRE
symmetric
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
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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
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
Fully distributed coordination learning control of second-order nonlinear multi-agent systems with input saturation
期刊论文
ASIAN JOURNAL OF CONTROL, 2021, 卷号: 23, 期号: 4, 页码: 1748-1761
作者:
Yang, Nana
;
Li, Junmin
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  |  
浏览/下载:10/0
  |  
提交时间:2021/10/14
adaptive iterative learning control
consensus tracking
formation control
input saturation
multi-agent systems
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