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检索条件"主题词=distributed optimization"
2907 条 记 录,以下是151-160 订阅
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distributed optimization for discrete-time multiagent systems with nonconvex control input constraints and switching topologies
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Chinese Physics B 2021年 第12期30卷 283-290页
作者: Xiao-Yu Shen Shuai Su Hai-Liang Hou School of Automation Central South UniversityChangsha 410083China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong UniversityBeijing 100044China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong UniversityBeijing 100044China
This paper addresses the distributed optimization problem of discrete-time multiagent systems with nonconvex control input constraints and switching *** introduce a novel distributed optimization algorithm with a swit... 详细信息
来源: 评论
A distributed optimization Approach for Collaborative Object Lifting Using Multiple Aerial Robots
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UNMANNED SYSTEMS 2024年 第2期12卷 305-321页
作者: Liu, Jinxin Sun, Chao Feng, Zhi Guan, Renhe Chang, Jindong Hu, Guoqiang Nanyang Technol Univ Sch Elect & Elect Engn Singapore Singapore
In the past decade, multi-robot collaborative object transport has garnered significant attention, with the majority of research targeting transport strategies. This study recasts the collaborative object lifting chal... 详细信息
来源: 评论
A Second-Order Projected Primal-Dual Dynamical System for distributed optimization and Learning
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2023年 第9期34卷 6568-6577页
作者: Wang, Xiaoxuan Yang, Shaofu Guo, Zhenyuan Huang, Tingwen Hunan Univ Sch Math Changsha 410082 Hunan Peoples R China Hunan Univ Hunan Prov Key Lab Intelligent Informat Proc & Ap Changsha 410082 Hunan Peoples R China Southeast Univ Sch Comp Sci & Engn Nanjing 211189 Peoples R China Texas A&M Univ Qatar Sci Program Doha Qatar
This article focuses on developing distributed optimization strategies for a class of machine learning problems over a directed network of computing agents. In these problems, the global objective function is an addit... 详细信息
来源: 评论
Consensus and Diffusion for First-Order distributed optimization Over Multi-Hop Network
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IEEE ACCESS 2023年 11卷 76913-76925页
作者: Wu, Mou Liao, Haibin Tan, Liansheng Jin, Guonian Zhong, Liangji Xiao, Yonggang Wang, Zhiyong Hubei Univ Sci & Technol Sch Comp Sci & Technol Xianning 437100 Peoples R China Hubei Univ Sci & Technol Lab Optoelect Informat & Intelligent Control Xianning 437100 Peoples R China Wuhan Text Univ Sch Elect & Elect Engn Wuhan 430200 Peoples R China Cent China Normal Univ Dept Comp Sci Wuhan 430079 Peoples R China
distributed optimization is a powerful paradigm to solve various problems in machine learning over networked systems. Existing first-order optimization methods perform cheap gradient descent by exchanging information ... 详细信息
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Hybrid distributed optimization for Learning Over Networks With Heterogeneous Agents
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IEEE ACCESS 2023年 11卷 103530-103543页
作者: Nassralla, Mohammad H. Akl, Naeem Dawy, Zaher Amer Univ Beirut Dept Elect & Comp Engn Beirut 11072020 Lebanon Infineon Technol AG D-81726 Gleichen Germany Qualcomm Bridgewater NJ 08807 USA
This paper considers distributed optimization for learning problems over networks with heterogeneous agents having different computational capabilities. The heterogeneity of computational capabilities implies that a s... 详细信息
来源: 评论
Multiobjective distributed optimization via a Predefined-Time Multiagent Approach
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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2023年 第11期68卷 6998-7005页
作者: Liu, Yang Xia, Zicong Gui, Weihua Zhejiang Normal Univ Key Lab Intelligent Educ Technol & Applicat Zheji Jinhua 321004 Zhejiang Peoples R China Zhejiang Normal Univ Sch Math Sci Jinhua 321004 Zhejiang Peoples R China Cent South Univ Sch Automat Changsha 410083 Peoples R China
In this study, we propose a predefined-time multi-agent approach for multiobjective optimization. Predefined-time optimization is an optimization approach that can converge to a state that is extremely close to an opt... 详细信息
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Priority-Considered Load Shedding in Economic Dispatch: distributed optimization Approach
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IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS 2023年 第3期10卷 1400-1411页
作者: Fitri, Ismi Rosyiana Kim, Jung-Su Seoul Natl Univ Sci & Technol Dept Elect & Informat Engn Seoul 01811 South Korea
This article studies two fundamental problems in power systems: 1) the economic dispatch problem (EDP) and 2) load shedding. In particular, convex optimization problems are formulated for both the EDP and the load she... 详细信息
来源: 评论
distributed optimization for interconnected nonlinear multi-agent systems via output feedback
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JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 2024年 第13期361卷
作者: Huang, Bomin Wang, Shuang An, Baizheng Jimei Univ Coll Comp Engn Xiamen 361021 Peoples R China Northeastern Univ Qinhuangdao Sch Control Engn Qinhuangdao 066004 Peoples R China
In this paper, the distributed optimization for a class of interconnected nonlinear multi-agent systems is considered via output feedback control. The problem is challenging because only the system's output is ava... 详细信息
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distributed optimization of Uplink Cell-Free Massive MIMO Networks  96
Distributed Optimization of Uplink Cell-Free Massive MIMO Ne...
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IEEE 96th Vehicular Technology Conference (VTC-Fall)
作者: Wang, Rui Jiang, Yi Fudan Univ Sch Informat Sci & Technol Dept Commun Sci & Engn Shanghai Peoples R China
This paper studies distributed optimization of an uplink cell-free Massive MIMO (CF-mMIMO) network. By observing some interesting analogies between the CF network and an artificial neural network (ANN), we propose to ... 详细信息
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Consensus-Based distributed optimization Enhanced by Integral Feedback
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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2023年 第3期68卷 1894-1901页
作者: Wang, Xuan Mou, Shaoshuai Anderson, Brian D. O. George Mason Univ Dept Elect & Comp Engn Fairfax VA 22030 USA Purdue Univ Sch Aeronaut & Astronaut W Lafayette IN 47906 USA Australian Natl Univ Canberra ACT 2601 Australia Hangzhou Dianzi Univ Hangzhou 310005 Peoples R China
Inspired and underpinned by the idea of integral feedback, a distributed constant gain algorithm is proposed for multiagent networks to solve convex optimization problems with local linear constraints. Assuming agent ... 详细信息
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