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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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Heterogeneous Hegselmann-Krause Dynamics With Environment and Communication Noise
期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 卷号: 65, 期号: 8, 页码: 3409-3424
Authors:
Chen, Ge
;
Su, Wei
;
Ding, Songyuan
;
Hong, Yiguang
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View/Download:108/0
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Submit date:2020/09/23
Analytical models
Synchronization
Convergence
STEM
Chemistry
Exponential distribution
Heterogeneous Hegselmann-Krause (HK) model
multiagent systems
noise
opinion dynamics
synchronization
Distributed Continuous-Time Nonsmooth Convex Optimization With Coupled Inequality Constraints
期刊论文
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2020, 卷号: 7, 期号: 1, 页码: 74-84
Authors:
Li, Xiuxian
;
Xie, Lihua
;
Hong, Yiguang
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View/Download:89/0
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Submit date:2020/05/24
Continuous-time algorithms
coupled inequality constraints
distributed convex optimization
multiagent networks
nonsmooth analysis
Distributed Kalman Filters With State Equality Constraints: Time-Based and Event-Triggered Communications
期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 卷号: 65, 期号: 1, 页码: 28-43
Authors:
He, Xingkang
;
Hu, Chen
;
Hong, Yiguang
;
Shi, Ling
;
Fang, Hai-Tao
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View/Download:110/0
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Submit date:2020/05/24
Kalman filters
Observability
Covariance matrices
STEM
Protocols
State estimation
Collective observability
communication rate
consistency
distributed kalman filter
event-triggered
multiagent systems
state equality constraint (SEC)
Adaptive Exact Penalty Design for Constrained Distributed Optimization
期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 卷号: 64, 期号: 11, 页码: 4661-4667
Authors:
Zhou, Hongbing
;
Zeng, Xianlin
;
Hong, Yiguang
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View/Download:79/0
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Submit date:2020/05/24
Optimization
Distributed algorithms
Linear programming
Convex functions
Adaptive control
Convergence
Adaptive algorithms
Adaptive algorithm
convex and nondifferentiable function
distributed optimization
exact penalty method
Distributed Energy Resource Coordination Over Time-Varying Directed Communication Networks
期刊论文
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2019, 卷号: 6, 期号: 3, 页码: 1124-1134
Authors:
Yang, Tao
;
Wu, Di
;
Fang, Huazhen
;
Ren, Wei
;
Wang, Hong
;
Hong, Yiguang
;
Johansson, Karl Henrik
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View/Download:119/0
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Submit date:2020/01/10
Distributed coordination
energy storage (ES)
multiagent systems
multistep optimization
push-sum and gradient method
smart grid
Optimal Output Consensus of High-Order Multiagent Systems With Embedded Technique
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 5, 页码: 1768-1779
Authors:
Tang, Yutao
;
Deng, Zhenhua
;
Hong, Yiguang
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Submit date:2019/12/13
Embedded control
high-order system
optimal output consensus
optimal signal generator
DISAGREEMENT OF HIERARCHICAL OPINION DYNAMICS WITH CHANGING ANTAGONISMS
期刊论文
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2019, 卷号: 57, 期号: 1, 页码: 718-742
Authors:
Meng, Deyuan
;
Meng, Ziyang
;
Hong, Yiguang
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View/Download:116/0
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Submit date:2020/01/10
disagreement analysis
opinion dynamics
antagonistic interaction
leader-follower hierarchy
switching signed digraph
DISTRIBUTED SUBGRADIENT-FREE STOCHASTIC OPTIMIZATION ALGORITHM FOR NONSMOOTH CONVEX FUNCTIONS OVER TIME-VARYING NETWORKS
期刊论文
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2019, 卷号: 57, 期号: 4, 页码: 2821-2842
Authors:
Wang, Yinghui
;
Zhao, Wenxiao
;
Hong, Yiguang
;
Zamani, Mohsen
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View/Download:90/0
  |  
Submit date:2019/10/28
distributed stochastic optimization
gradient-/subgadient-free algorithm
nonsmoothness
randomized differences
Distributed Consensus-Based K-Means Algorithm in Switching Multi-Agent Networks
期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2018, 卷号: 31, 期号: 5, 页码: 1128-1145
Authors:
Lin Peng
;
Wang Yinghui
;
Qi Hongsheng
;
Hong Yiguang
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Submit date:2018/09/08
Consensus-based algorithm
distributed K-means clustering
multi-agent network
switching topology
Distributed regression estimation with incomplete data in multi-agent networks
期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2018, 卷号: 61, 期号: 9, 页码: 14
Authors:
Wang, Yinghui
;
Lin, Peng
;
Hong, Yiguang
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Submit date:2018/07/30
multi-agent systems
time-varying network
estimation with incomplete data
online learning
stochastic approximation