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Adaptive Optimal Output Regulation of Interconnected Singularly Perturbed Systems With Application to Power Systems
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 595-607
作者:
Jianguo Zhao
;
Chunyu Yang
;
Weinan Gao
;
Linna Zhou
;
Xiaomin Liu
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  |  
浏览/下载:1/0
  |  
提交时间:2024/02/19
Adaptive optimal control
decentralized control
output regulation
reinforcement learning (RL)
singularly perturbed systems (SPSs)
Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36
作者:
Ding Wang
;
Ning Gao
;
Derong Liu
;
Jinna Li
;
Frank L. Lewis
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  |  
浏览/下载:2/0
  |  
提交时间:2024/01/02
Adaptive dynamic programming (ADP)
advanced control
complex environment
data-driven control
event-triggered design
intelligent control
neural networks
nonlinear systems
optimal control
reinforcement learning (RL)
Learning for Depth Control of a Robotic Penguin: A Data-Driven Model Predictive Control Approach
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 卷号: 70, 期号: 11, 页码: 11422-11432
作者:
Pan, Jie
;
Zhang, Pengfei
;
Wang, Jian
;
Liu, Mingxin
;
Yu, Junzhi
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  |  
浏览/下载:7/0
  |  
提交时间:2023/11/17
Data-driven model predictive control (MPC)
depth control
motion control
reinforcement learning (RL)
robotic penguin
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:
Chai, Jiajun
;
Zhu, Yuanheng
;
Zhao, Dongbin
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  |  
浏览/下载:3/0
  |  
提交时间:2023/11/16
Large-scale multiagent
neighboring communication
reinforcement learning (RL)
variational information flow
A Data-Driven Iterative Learning Approach for Optimizing the Train Control Strategy
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 7, 页码: 7885-7893
作者:
Su, Shuai
;
Zhu, Qingyang
;
Liu, Junqing
;
Tang, Tao
;
Wei, Qinglai
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  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Deep reinforcement learning (RL)
driving strategy
energy-efficient train control (EETC)
soft actorcritic (SAC)
A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 318-334
作者:
Wai-Chung Kwan, Hong-Ru Wang, Hui-Min Wang, Kam-Fai Wong
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  |  
浏览/下载:5/0
  |  
提交时间:2023/05/29
Dialogue policy learning (DPL), task-oriented dialogue system (TOD), reinforcement learning (RL), dialogue system, Markov decision process
An Optimal Control-Based Distributed Reinforcement Learning Framework for A Class of Non-Convex Objective Functionals of the Multi-Agent Network
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2081-2093
作者:
Zhe Chen
;
Ning Li
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  |  
浏览/下载:3/0
  |  
提交时间:2023/09/22
Distributed optimization
multi-agent
optimal control
reinforcement learning (RL)
Development of a Bias Compensating Q-Learning Controller for a Multi-Zone HVAC Facility
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1704-1715
作者:
Syed Ali Asad Rizvi
;
Amanda J. Pertzborn
;
Zongli Lin
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  |  
浏览/下载:9/0
  |  
提交时间:2023/07/20
HVAC control
optimal tracking
Q-learning
reinforcement learning (RL)
A Self-Attention-Based Deep Reinforcement Learning Approach for AGV Dispatching Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 12
作者:
Wei, Qinglai
;
Yan, Yutian
;
Zhang, Jie
;
Xiao, Jun
;
Wang, Cong
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/01/09
Automated guided vehicle (AGV) dispatching
deep learning
reinforcement learning (RL)
self-attention
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:28/0
  |  
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)
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