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提醒你， Xiong Wang 邀请你加入 Facebook ...

facebook Xiong Wang 希望成为你在Facebook的朋友。无论是你离朋友和家人有多远，Facebook可以帮你保持联系。 Other people have asked to be your friend on Facebook. Accept this invitation to see your previous friend requests Xiong Wang Shanghai Jiao Tong University · Hong Kong 67 个朋友 · 2 篇日志 接受邀请 访问Facebook This message was sent to wangxiong8686.cccn@blogger.com. If you don't want to receive these emails from Facebook in the future or have your email address used for friend suggestions, please click: unsubscribe. Facebook, Inc. Attention: Department 415 P.O Box 10005 Palo Alto CA 94303

我在 Facebook 上找你呢

facebook 雄 has invited you to Facebook. After you sign up, you'll be able to stay connected with friends by sharing photos and videos, posting status updates, sending messages and more. Is 王雄 your friend? 是 否 此消息已发送到 wangxiong8686.cccn@blogger.com 未来如果您不想在 Facebook 上接收这些电子邮件或电子邮件本身被利用来作为朋友建议，请点击： 取消订阅。 Facebook, Inc. Attention: Department 415 P.O Box 10005 Palo Alto CA 94303

Mystery and Beauty of Attractors

Speaker:
Mr. Wang, Xiong

Title:
Mystery and Beauty of Attractors


Time & Place:
Thu, 15. of Dec. 2011, 11 - 12 am
G-6501, coffee room of the EE department (lift 7), free drinks :-)

Abstract:
First through playing a game, the basic concepts of dynamical system theory such as state space, evolution rule, attractor  will be introduced. Various kinds of application in different disciplines from Nash equilibrium in economics to PageRank of WWW are briefly discussed. Then, different kinds of possible attractor of a dynamic system will be shown, from point attractor, torus attractor, periodic attractor to strange attractor. Finally, some beautiful strange attractors will be illustrated.

About the Speaker:
Xiong Wang has obtained his B.Sc. in math from the Shanghai Jiao Tong University. Currently, he is a PhD student at City University Hong Kong at the Centre for Chaos and Complex Networks located at the EE department. His research interests are chaos, fractal and fundamental questions of nonlinear science.

Fwd: CCCN Internal Seminar

---------- Forwarded message ----------
From: Andreas Joseph <youropiniononlife@gmail.com>
Date: 2011/11/21
Subject: CCCN Internal Seminar
To: zhengfan@cityu.edu.hk, 陈 巍 <chenwei1985@pku.edu.cn>, 王 沛 <wp0307@126.com>, Fan Yan <yanfan84@gmail.com>, Hongwei <zhw.tju@gmail.com>, leoxtu@gmail.com, 王 怀磊 <whlay@nuaa.edu.cn>, 王雄 <wangxiong8686@gmail.com>, 高 士根 <gaoshigen@bjtu.edu.cn>, eegchen <eegchen@cityu.edu.hk>, cuili0418@gmail.com, jingzhu3@student.cityu.edu.hk, qiangjia.hk@gmail.com, wlf850927@gmail.com, wangchj04@gmail.com, huangchima@gmail.com, Josesworld@gmx.de

Invitation

to the

Internal Seminar of the Centre for Chaos and Complex Networks
(Department of Electronic Engineering, CityU Hong Kong; Director: Prof. Guanrong (Ron) Chen)

&

Journal Club

The idea behind this event is to establish a platform for regular internal scientific exchange, and to give young researcher the opportunity to present their work and ideas.
Furthermore, interesting topics and concepts related to the field of chaotic dynamics and complex networks are presented to give a deeper and broader understanding
of this wide and highly connected research field. Last but not least, this event shall provide a chance for the presenter to work on his presentation skills, which are essential
a professional career of any kind.

Speaker:
Mr. Joseph, Andreas

Title:
Complex Networks, Random Walks & Economic Integration
(Journal club session)

Time & Place:
Thu, 24. of Nov. 2011, 11 - 12 am
G-6501, coffee room of the EE department (lift 7), free drinks :-)
(see attached map)

Abstract:
Methodology and results of two paper on complex networks are presented: ''A Measure of Betweenness Centrality based on Random Walks'' (Mark Newman) and "Assessing the Evolution of International Economic Integration Using Random Walk Betweenness: The Cases of East Asia and Latin America'' (J. Reyes, S. Schiavo and G. Fagiolo). The concept of random walk betweenness is introduced as a new centrality measure on complex networks which does not only give weights on shortest path lengths. It provides an unbiased approach in situations where only incomplete information on the system at hand is available. I will give access to the topic from an applied as well as mathematical point of view, whereby the concept of a Markov chain from probability theory is discussed as a realization of a weighted network. Finally, it is shown how random walk betweenness centrality can be applied to the world trade network as a measure for economic integration.

About the Speaker:
Andreas Joseph has obtained his master degree in physics (German diploma) from the University of Munich (LMU) in 2011. He studied physics focused on theoretical physics at the University of Munich, the Technical University of Munich (TUM) and the Autonomous University of Barcelona (UAB). Currently, he is a first year PhD student at City University Hong Kong at the Centre for Chaos and Complex Networks located at the EE department. His research interests lie within theory and application of complex networks.

Remarks:
Everybody who is interested to take part or to give a talk by her/himself is invited to contact me.
The future plan is to have a presentation every one or two weeks, so let me know in advanced when and what
you want to talk about, contact me: Andreas Joseph (acjoseph2@student.cityu.edu.hk).
In case you received this mail unintended, let me know, and I will remove your contact from the mailing list.


All the best,

Andi - 安迪

 --  -----------------------------------------   Andreas Joseph -----------------------------------------   Centre for Chaos & Complex Networks   Department of Electronic Engineering   City University Hong Kong    Mail: acjoseph2@student.cityu.edu.hk   Fone: (+852) 2194 2553 ----------------------------------------- 

Upcoming seminar by Mr. Wei Chen, Explosive Percolation on Networks

Internal Seminar of the Centre for Chaos and Complex Networks
(Department of Electronic Engineering, CityU Hong Kong; Director: Prof. Guanrong (Ron) Chen)

&

Journal Club

The idea behind this event is to establish a platform for regular internal scientific exchange, and to give young researcher the opportunity to present their work and ideas.
Furthermore, interesting topics and concepts related to the field of chaotic dynamics and complex networks are presented to give a deeper and broader understanding
of this wide and highly connected research field. Last but not least, this event shall provide a chance for the presenter to work on his presentation skills, which are essential
a professional career of any kind.

Speaker:
Mr. Chen Wei

Title:
Explosive Percolation on Networks

Time & Place:
Tue, 1st of Nov. 2011, 11 - 12 am
Study Room 1004 in the Library, Humanities Section
(see attached location map)

Abstract:
Networks in which the formation of connections is governed by a random process often undergo a percolation
transition, wherein around a critical point, the addition of a small number of connections causes a
sizable fraction of the network to suddenly become linked together. Typically such transitions are continuous,
so that the percentage of the network linked together tends to zero right above the transition point.
Whether percolation transitions could be discontinuous has been an open question. Here, we show that
incorporating a limited amount of choice in the classic Erdos - Renyi network formation model causes its
percolation transition to become discontinuous.

About the Speaker:

Mr. Wei Chen is a fifth year Ph.D. candidate from Peking University, School of Mathematical Sciences. His
research focus on complex networks, specically the dynamics and critical behavior in networks, community
detection, pattern recognition and applications of network theory in real systems.

All are welcome

Upcoming Seminar Thu, 27 of Oct. 2011, 11 - 12 am by Dr. Zhang, Hongwei

Speaker:

Dr. Zhang, Hongwei

Title:

Cooperative Tracking Tontrol of Multi-Agent Systems

Time & Place:
Thu, 27 of Oct. 2011, 11 - 12 am
Study Room 1004 in the Library, Humanities Section

Abstract:

In the past few decades, an increasing number of industrial, military and consumer applications call for the cooperation
of multiple interconnected agents. The agents can be autonomous mobile robots, robot manipulators, spacecraft,
unmanned air vehicles (UAVs), or wireless sensors. Such applications include formation of mobile robots, multipoint
surveillance, UAV formation flying, wireless sensor networks, etc. Research of cooperative control is inspired by sociobiological groups, such as flocking birds, schooling fish, where each individual is influenced by its nearest neighbors, while the group behaves as a whole to prevent the predator or explore the environment.  The neighborhood interaction plays a vital role in the behavior of multi-agent systems.


This talk will focus on synchronization of identical general linear systems on a directed graph containing a spanning tree. A leader node or command generator is considered, which generates the desired tracking trajectory. It is shown that unbounded synchronization regions that achieve synchronization on arbitrary digraphs containing a spanning tree can be guaranteed by using linear quadratic regulator based optimal control and observer design methods at each node.

About the Speaker:

Hongwei Zhang received his B.E. and M.E. degrees from the Department of Automation, Tianjin University (China) in 2003 and 2006, respectively, and his PhD degree from the Department of Mechanical and Automation Engineering, the Chinese University of Hong Kong in 2010. From July 2009 to December 2010, he was a visiting scholar and subsequently a ostdoctoral researcher at ARRI, the University of Texas at Arlington, Texas, USA. Since February 2011, he has been with the City University of Hong Kong, as a postdoctoral researcher. He serves as a reviewer for many refereed journals and conferences, including Automatica, Systems & Control Letters, IEEE Trans. Neural Netw., and IEEE Conf. Decision Control. His current research interests are cooperative control, neural adaptive control, approximate dynamic programming, and optimal control.

All are welcome