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MULTI-AGENT TRACKING OF A HIGH-DIMENSIONAL ACTIVE LEADER WITH SWITCHING TOPOLOGY

Journal of systems science & Complexity 2009年第4期22卷 722-731页

作者： yiguang hong xiaoli wang key lab of systems and control,institute of systems science,academy of mathematics and systems science,chinese academy of sciences,beijing 100190,china. key lab of systems and control Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China

This paper considers a multi-agent tracking problem for a high-dimensional active leaderand variable interconnection topology. The state of the leader not only keeps changing but also maynot be measured. To estimate the state such a leader individually, a neighbor-based local controllertogether with a neighbor-based state-estimation rule is given for each autonomous agent. Then, theauthors prove that, with the help of a constructed common Lyapunov function (CLF), each agent cantrack the active leader with unmeasurable states. Finally, the authors explicitly construct a CLF foran active leader with unknown periodic input for illustration.

关键词： Active leader distributed algorithms multi-agent systems switching topology.

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DISTRIBUTED FINITE-TIME χ-CONSENSUS ALGORITHMS FOR MULTI-AGENT systems WITH VARIABLE COUPLING TOPOLOGY

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Journal of systems science & Complexity 2010年第2期23卷 209-218页

作者： xiaoli wang·yiguang hong key laboratory of systems and control,chinese academy of sciences,beijing 100190,china. key laboratory of systems and control Chinese Academy of Sciences Beijing China

This paper considers finite-time χ-consensus problem for a multi-agent system with firstorderindividual dynamics and switching interaction *** distributed finite-time consensusrules are constructed for multi-agent dynamics in a unified way with the help of Lyapunovfunction and graph theory as well as ***-invariant non-smooth forms of finite-timeneighbor-based controllers are proposed and a numerical example is shown for illustration.

关键词： χ-consensus distributed control multi-agent networks non-smoothness switching graphs.

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Distributed Output Regulation of Uncertain and Switching Multi-Agent systems via Internal Model Design

Distributed Output Regulation of Uncertain and Switching Mul...

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2011 chinese control and Decision Conference（CCDC）

作者： xiaoli wang is with School of Information science and Engineering,Harbin institute of Technology at Weihai,Weihai 264209,Shandong,china.yiguang hong is with the key laboratory of systems and control,academy of mathematics and systems science,chinese academy of sciences,beijing 100190,china.Zhong-Ping Jiang is with Department of Electrical and Computer Engineering,Polytechnic institute of New York University,Six Metrotech Center,Brooklyn,NY 11201,USA

In this paper,the distributed robust output regulation problem of linear multi-agent systems （MAS） is *** driving force from the active leaders or the environmental disturbances is formulated as an input of an exogenous system （or exosystem） of the considered multi-agent networks.A systematic distributed design approach is proposed to handle output regulation via dynamic output feedback with the help of canonical internal model （IM）.With common solutions of regulator equations and Lyapunov functions,the distributed robust output regulation with switching interconnection topology is designed to achieve collective aims.

关键词： Output regulation Multi-agent systems Internal Model Switching Topology

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Distributed Stochastic Subgrandient-based Design for Support Vector Machines

Distributed Stochastic Subgrandient-based Design for Support...

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第36届中国控制会议

作者： Yinghui wang Peng Lin yiguang hong key lab of systems and control Academy of Mathematics and Systems Science Chinese Academy of Sciences

ISBN: (纸本)9781538629185

This paper develops a distributed stochastic subgrandient-based support vector machine algorithm when training data to train support vector machines are distributed in the *** this situation,all the data are decentralized stored and unavailable to all agents and each agent has to make its own update based on its computation and communication with *** mild connectivity conditions,we show the convergence of the proposed algorithm even though the network topology is *** rate is also given for the proposed ***,we provide numerical simulations on a real classification training set to illustrate the effectiveness of the fully distributed algorithm.

关键词： Distributed algorithm support vector machine stochastic subgradient switching topology

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基于群论的深度卷积网络分析

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系统科学与数学 2019年第2期39卷 219-227页

作者：王溪明杨洪奕光中国科学院数学与系统科学研究院系统控制重点实验室北京100190 中国科学院大学北京100190

近年来深度学习已成为机器学习中处理大量复杂数据的有效方法,它通过多层次的结构从高维数据中提取特征,从而解决分类、回归等实际任务.文章首先回顾了深度卷积网络和自编码器的数学模型,然后引入群论中分析对称性的一些方法,对深度卷... 详细信息

近年来深度学习已成为机器学习中处理大量复杂数据的有效方法,它通过多层次的结构从高维数据中提取特征,从而解决分类、回归等实际任务.文章首先回顾了深度卷积网络和自编码器的数学模型,然后引入群论中分析对称性的一些方法,对深度卷积网络在数据降维时的有效性进行了初步的讨论,最后根据深度卷积网络对称群的逐层关系提出了改进神经网络的一个原则.

关键词：深度学习卷积神经网络群作用数据对称性

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