检索结果-内蒙古大学图书馆

作者： Zhan, Jingyuan Li, Xiang Adaptive Networks and Control Lab. Electronic Engineering Department Fudan University Shanghai 200433 China

ISBN: (纸本)9783902661937

For decades, scientists from various fields have been fascinated by flocking behavior for its wide engineering applications. Inspired by the predictive intelligence of bio-groups, in this paper we design a novel discrete-time model predictive control based flocking protocol, and investigate the role of predictive mechanisms in flocking of multi-agent systems by using mathematical analyses and numerical simulations. Compared with Olfati-Saber flocking algorithm, the newly proposed model predictive control based flocking protocol yields several improvements on the convergence rate, -lattice regularity and the feasible range of the sampling period. © 2011 IFAC.

关键词： Multi agent systems

来源：评论

学校读者我要写书评

暂无评论

A Multi-agent Flocking System with Communication Delays via Distributed Model Predictive control 36

A Multi-agent Flocking System with Communication Delays via ...

引用

第36届中国控制会议

作者： Yanjie Hu Jingyuan Zhan Quan Yuan Xiang Li Adaptive Networks and Control Lab Department of Electronics EngineeringFudan University Research Center of Smart Networks and Systems School of Information Science and EngineeringFudan University

ISBN: (纸本)9781538629185

This paper presents a distributed model predictive algorithm for a multi-agent system with communication delays between *** the agents are dynamically decoupled,which is driven by a local controller relying on the information of its neighbors and *** introduce the waiting mechanism to deal with communication delays,and utilize the distributed model predictive control approach to derive the flocking algorithm for each agent,where the cost function penalizes the state and control efforts as well as the errors between the predicted states and desired *** give a sufficient condition to guarantee the flocking of a multi-agent *** simulations demonstrate the feasibility of the proposed flocking algorithm.

关键词： Flocking Multi-agent system Distributed model predictive control Communication delay Lattice structure

来源：评论

学校读者我要写书评

暂无评论

Decentralized flocking protocol of multi-agent systems with predictive mechanisms

Decentralized flocking protocol of multi-agent systems with ...

引用

作者： Zhan, Jingyuan Li, Xiang Adaptive Networks and Control Lab Electronic Engineering Department Fudan University Shanghai 200433 China

ISBN: (纸本)9789881725592

This paper presents a novel decentralized predictive flocking protocol of discrete-time multi-agent systems, where every agent is driven by a predictive controller with the local information of its neighbors. The feasibility of the decentralized protocol and system convergence is demonstrated by numerical simulations, where the effects of sampling period, prediction horizon and control horizon, the three parameters for predictive controllers, on the flocking performance are verified with the supportive illustrations of convergence rate and lattice regularity. © 2011 Chinese Assoc of Automation.

关键词： Multi agent systems

来源：评论

学校读者我要写书评

暂无评论

Mining the rank of universities with Wikipedia

引用

中国科学:化学（英文版） 2019年第10期62卷 196-198页

作者： Zongjian LI Cong LI Xiang LI Adaptive Networks and Control Lab Department of Electronic Engineering Fudan UniversityShanghai 200433 China Adaptive Networks and Control Lab Department of Electronic Engineering Fudan UniversityShanghai 200433 China Research Center of Smart Networks and Systems School of Information Science EngineeringFudan Univeristy Shanghai 200433 China

Dear editor, Wikipedia is a free-access and web-based multilingual encyclopedia that voluntaries from all around the world can write and *** studies on Wikipedia mainly focused on its collaborative systems,i.e.,edit patterns [1,2].Besides the relation network of editors in Wikipedia,the articles of Wikipedia form a large-scale complex network,the Wikipedia article reference network (WARN).Articles are regarded as nodes,which are connected by the URL *** and Markovitch [3] applied the machine learning techniques to explore the semantic relatedness of natural language texts with the concepts derived from *** et al.[4] designed an algorithm for the topic indexing with Wikipedia,which contains many article synonyms.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Network controllability Robustness Learning via Spatial Graph Neural networks

引用

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING 2024年第5期11卷 4045-4058页

作者： Zhang, Yu Ding, Jie Li, Xiang Fudan Univ Sch Informat Sci & Engn Dept Elect Engn Adaptive Networks & Control Lab Shanghai 200433 Peoples R China Tongji Univ Inst Complex Networks & Intelligent Syst Shanghai Res Inst Intelligent Autonomous Syst Shanghai 201210 Peoples R China

controllability of complex networks refers to the ability of a networked system to steer from any initial state to any desired state in a finite time under feasible control inputs. Its robustness reflects the ability of a network to maintain controllability under various attacks, which records a series of controllability values under continuous attacks and can be directly determined by attack simulations. However, such simulation experiments are very time-consuming. It is necessary to design a model to replace simulation experiments to learn network controllability robustness with high precision and high speed, which is the objective of Network controllability Robustness Learning. In this paper, given the superiority of spatial graph neural networks in generating network embedding, a novel controllability robustness learning approach via spatial graph neural networks (CRL-SGNN) is proposed by taking into account both generalization and high precision. In this scheme, controllability robustness related complex network representations that contain network topology information and degree-based node attribute information are first generated through the introduced graph convolutional layer and then sent to the prediction module consisting of multiple branches. A large number of experiments show that: 1) CRL-SGNN can overcome the issue of different distributions between training and test sets with satisfactory performance, implying strong generalization ability of CRL-SGNN;2) Compared to the cutting-edge methods, CRL-SGNN can obtain superior results in less time;and 3) A highlight which cannot be ignored is that the embedding generation module of CRL-SGNN can serve as a transferable feature learning module to deal with complex networks of any size with low prediction error and high efficiency.

关键词： controllability Training Feature extraction Graph neural networks Convolutional neural networks complex networks controllability robustness learning robustness spacial graph neural networks robustness spacial graph neural networks

来源：评论

学校读者我要写书评

暂无评论

Public Goods Game on Hypergraph with Gentle Win-Stay,Lose-Shift Strategy 41

Public Goods Game on Hypergraph with Gentle Win-Stay,Lose-Sh...

引用

第41届中国控制会议

作者： Junchi Li Cong Li Xiang Li Adaptive Networks and Control Lab Department of Electronic EngineeringSchool of Information Science and TechnologyFudan University the Institute of Complex Networks and Intelligent Systems Shanghai Research Institute for Intelligent Autonomous SystemsTongji University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper introduces a kind of strategy called gentle win-stay,lose-shift(GWSLS) which is used in the revolutionary of public goods game(PGG) on *** work focuses on how this strategy influence the process of evolution of *** take the approach of numerical simulation to study whether cooperation would eventually survive in PGG on different kinds of *** also compare the results in different conditions and find out that cooperation will eventually survive if the number of hyperlinks is not that many.A non-uniform hypergraph is beneficial to the survival of cooperation.

关键词： PGG hypergraph cooperation GWSLS

来源：评论

学校读者我要写书评

暂无评论

Influence of Reporting Rate on Epidemic control Based on SIXAR Model 41

Influence of Reporting Rate on Epidemic Control Based on SIX...

引用

第41届中国控制会议

作者： Lingyu Wu Qiandong Sun Cong Li Xiang Li Adaptive Networks and Control Lab Department of Electronic EngineeringSchool of Information Science and TechnologyFudan University The Institute of Complex Networks and Intelligent Systems Shanghai Research Institute for Intelligent Autonomous SystemsTongji University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

How to balance the control efficiency of the epidemic and the economy is extremely *** paper proposes a Susceptible-Infected-Isolated-Asymptomatic-Recovered(SIXAR,X represents isolated people) model,considering the asymptomatic and the *** conduct an in-depth research on the reporting rate in the epidemic,and find the critical reporting rate to prevent the spread of the *** result proves that maintaining the reporting rate near a critical value can both ensure epidemic prevention and control and reduce economic *** will provide a new idea for the government to formulate rational measures.

关键词： Epidemic models SIR model Complex Network COVID-19

来源：评论

学校读者我要写书评

暂无评论

How Online Social Ties Influence the Epidemic Spreading of a Multiplex Network?

How Online Social Ties Influence the Epidemic Spreading of a...

引用

IFIP Networking Conference

作者： Xianzhe Tang Yuan Zhang Cong Li Xiang Li Adaptive Networks and Control Lab Fudan University

ISBN: (数字)9783903176287

ISBN: (纸本)9781728167107

In recent years, many studies have focused on the interrelation between the epidemic spreading and the spread of awareness to prevent infections. A multiplex network is utilized to depict this scenario. The upper layer of the multiplex network represents an online social network, where the awareness of epidemic spreads. The lower layer of the multiplex network represents an off-line social network, where the epidemic spreads among individuals. However, most previous studies neglected that the online social network has diverse social ties, such as the dense social ties (in-roles and friends) and the sparse social ties (familiar strangers and strangers). In this work, we study how the online social ties impact on epidemic spreading in the off-line social network. We assume that besides the same dense in-roles and friends, an online social network could have only familiar strangers, only strangers, or both. We analyze the influence of the effective epidemic spreading rate and the awareness spreading rate on the infection fraction at the steady state with two empirical datasets. An interesting finding is that an online social network containing strangers is more likely to reduce epidemic prevalence than that containing familiar strangers.

关键词： Social network services Multiplexing Mathematical model Public transportation Steady-state Viruses (medical) Network topology

来源：评论

学校读者我要写书评

暂无评论

On the structural controllability of temporal complex networks

引用

Complex Systems and Complexity Science 2015年第2期12卷 23-31页

作者： Pan, Yujian Li, Xiang Lab of Adaptive Networks and Control Department of Electronic Engineering School of Information Science and Engineering Shanghai China

With reviewing the existing studies on the structural controllability of static networks, we explore the approach to understand and analyze the structural controllability of temporal networks. We firstly reveal the characteristics of the structural controllability of temporal networks by the improved maximum matching method;then, by mapping a temporal into a LTV system, we give a framework to study the structural controllability of temporal networks;finally, on the basis of this framework, we further analyze the upper and lower bounds of network nodes' controlling centrality in the case of single controller. ©, 2015, The Journal Agency of Complex Systems and Complexity Science. All right reserved.

关键词： Linear time-invariant system

来源：评论

学校读者我要写书评

暂无评论

The emergence of cooperative leadership from homogenous random networks

The emergence of cooperative leadership from homogenous rand...

引用

作者： Pan, Liming Rong, Zhihai Wang, Zhijie Li, Xiang Department of Automation Donghua University 201620 Shanghai China Adaptive Networks and Control Lab. Department of Electronic Engineering Fudan University Shanghai 200433 China

ISBN: (纸本)9783902661937

We investigate the game learning skeleton on homogeneous random networks, where an individual plays the Prisoner's Dilemma game with neighbors and the learning frequency during the steady state is counted as edge weight. The learning skeleton is defined as a communication kernel where each individual directs to the most frequently followed neighbor. We show that with the increase of the temptation to defect, the in-degree distribution of the learning skeleton varies from an exponential distribution to a power-law distribution, i.e., the scale-free property can emerge from underlying homogeneous random interaction networks. Moreover, we find that the longer the individual holds on the cooperative strategy, the more followers the individual has, and the easier the leader diffuses its behavior. Therefore, our work will shed some insight into designing reinforcement learning mechanisms in the social system to promote the emergence and persistence of cooperation. © 2011 IFAC.

关键词： Network topology

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：