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科研机构
自动化研究所 [4]
内容类型
期刊论文 [4]
发表日期
2021 [4]
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发表日期:2021
专题:自动化研究所
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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
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浏览/下载:44/0
  |  
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
Adaptive Critics for Decentralized Stabilization of Constrained-Input Nonlinear Interconnected Systems
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 13
作者:
Yang, Xiong
;
Zhou, Yingjiang
;
Dong, Na
;
Wei, Qinglai
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2022/01/27
Optimal control
Interconnected systems
Nonlinear systems
Decentralized control
Asymptotic stability
Stability analysis
Artificial neural networks
Adaptive critics
adaptive dynamic programming (ADP)
asymmetric input constraints
decentralized control
reinforcement learning (RL)
Water-Energy Nexus Management for Power Systems
期刊论文
IEEE TRANSACTIONS ON POWER SYSTEMS, 2021, 卷号: 36, 期号: 3, 页码: 2542-2554
作者:
Zhao, Pengfei
;
Gu, Chenghong
;
Cao, Zhidong
;
Ai, Qian
;
Xiang, Yue
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2021/06/07
Indexes
Cogeneration
Water pumps
Optimization
Electrical engineering
Natural gas
Batteries
Integrated energy system
mean-risk optimization
power-to-gas
renewable uncertainty
water-energy nexus
Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Yang, Xiong
;
Zhu, Yuanheng
;
Dong, Na
;
Wei, Qinglai
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浏览/下载:40/0
  |  
提交时间:2022/01/27
Adaptive critic designs (ACDs)
adaptive dynamic programming (ADP)
decentralized event-driven control
input constraint
reinforcement learning (RL)
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