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浏览/检索结果:
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Hedonic Coalition Formation for Distributed Task Allocation in Heterogeneous Multi-agent System
期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2024, 页码: 13
作者:
Wang, Lexing
;
Qiu, Tenghai
;
Pu, Zhiqiang
;
Yi, Jianqiang
;
Zhu, Jinying
;
Yuan, Wanmai
Adobe PDF(2578Kb)
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浏览/下载:96/8
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提交时间:2024/03/13
Coalition formation
hedonic games
heterogeneous agents
Nash stable
task allocation
Data-driven adaptive-critic optimal output regulation towards water level control of boiler-turbine systems
期刊论文
Expert Systems with Applications, 2022, 页码: 117883
作者:
Wei Qinglai
;
Wang Xin
;
Liu Yu
;
Xiong Gang
Adobe PDF(2135Kb)
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浏览/下载:173/61
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提交时间:2023/05/23
Continuous-Time Distributed Policy Iteration for Multicontroller Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 5, 页码: 2372-2383
作者:
Wei, Qinglai
;
Li, Hongyang
;
Yang, Xiong
;
He, Haibo
Adobe PDF(1246Kb)
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浏览/下载:254/47
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提交时间:2021/06/07
Optimal control
Nonlinear systems
Decentralized control
Mathematical model
Convergence
Multi-agent systems
Adaptive dynamic programming (ADP)
approximate dynamic programming
distributed policy iteration
nonlinear systems
optimal control
Continuous-Time Time-Varying Policy Iteration
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 12, 页码: 4958-4971
作者:
Wei, Qinglai
;
Liao, Zehua
;
Yang, Zhanyu
;
Li, Benkai
;
Liu, Derong
Adobe PDF(3149Kb)
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浏览/下载:285/53
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提交时间:2021/03/02
Optimal control
Nonlinear systems
Time-varying systems
Mathematical model
Dynamic programming
Approximation algorithms
Iterative algorithms
Adaptive critic designs
adaptive dynamic programming (ADP)
neuro-dynamic programming
nonlinear systems
optimal control
policy iteration
A novel triggering condition of event-triggered control based on heuristic dynamic programming for discrete-time systems
期刊论文
Optimal Control Applications & Methods, 2018, 卷号: 39, 期号: 4, 页码: 1467-1478
作者:
Wang, Ziyang
;
Wei, Qinglai
;
Liu, Derong
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Adobe PDF(569Kb)
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浏览/下载:224/56
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提交时间:2020/03/20
Adaptive Dynamic Design
Adaptive Dynamic Programming
Approximate Dynamic Programming
Event-triggered Control
Optimal Control
Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems
期刊论文
IEEE TRANSACTIONS ON SMART GRID, 2019, 卷号: 10, 期号: 4, 页码: 4235-4244
作者:
Zhu, Yuanheng
;
Zhao, Dongbin
;
Li, Xiangjun
;
Wang, Ding
Adobe PDF(973Kb)
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浏览/下载:287/6
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提交时间:2019/09/30
Microgrid
energy storage system
multi-battery management system
adaptive dynamic programming
control-limited optimization
Intelligent Critic Control With Disturbance Attenuation for Affine Dynamics Including an Application to a Microgrid System
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 6, 页码: 4935-4944
作者:
Wang, Ding
;
He, Haibo
;
Mu, Chaoxu
;
Liu, Derong
Adobe PDF(728Kb)
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浏览/下载:344/112
  |  
提交时间:2017/07/18
Adaptive/approximate Dynamic Programming
Adaptive Critic Control
Disturbance Attenuation
Intelligent Control
Neural Identification
Smart Microgrid
Optimization of electricity consumption in office buildings based on adaptive dynamic programming
期刊论文
SOFT COMPUTING, 2017, 卷号: 21, 期号: 21, 页码: 6369-6379
作者:
Shi, Guang
;
Wei, Qinglai
;
Liu, Derong
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Adobe PDF(1611Kb)
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浏览/下载:463/189
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提交时间:2017/02/23
Office Buildings
Electricity Consumption Optimization
Battery Management
Optimal Control
Adaptive Dynamic Programming
Neural Networks
MAS-Based Energy Management Strategies for a Hybrid Energy Generation System
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 卷号: 63, 期号: 6, 页码: 3756-3764
作者:
Yu, Junzhi
;
Dou, Chunxia
;
Li, Xinbin
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Adobe PDF(1865Kb)
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浏览/下载:292/118
  |  
提交时间:2016/10/20
Control Strategies
Energy Management
Event-triggered Hybrid Control
Hybrid Energy Generation System (Hegs)
Multi-agent System (Mas)
A Novel Dual Iterative Q-Learning Method for Optimal Battery Management in Smart Residential Environments
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 卷号: 62, 期号: 4, 页码: 2509-2518
作者:
Wei, Qinglai
;
Liu, Derong
;
Shi, Guang
;
Derong Liu
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Adobe PDF(2146Kb)
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浏览/下载:336/115
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提交时间:2015/09/21
Adaptive Critic Designs
Adaptive Dynamic Programming (Adp)
Approximate Dynamic Programming
Neural Networks
Optimal Control
Q-learning
Smart Grid