汪小帆
个性化签名
- 姓名:汪小帆
- 目前身份:
- 担任导师情况:
- 学位:
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学术头衔:
博士生导师, 国家杰出青年科学基金获得者
- 职称:-
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学科领域:
控制理论
- 研究兴趣:
男,1967年2月7日出生,江苏句容人。1977年9月-1982年7月在句容县中学就读。1986年和1991年分别于苏州大学数学系和南京师范大学数学系获得理学学士和硕士学位。1996年于东南大学自动化所获得工学博士学位。1996年10月至1999年8月为南京理工大学自动化系博士后、副教授。1999年8月至2000年8月到香港城市大学电子工程系从事合作研究。2000年10月至2001年12月到英国BRISTOL大学机械工程系从事合作研究。2002年1月回国后到上海交通大学自动化系工作。
现为上海交通大学电子信息与电气工程学院副院长、自动化系教授、博士生导师。武汉大学、电子科技大学和南京师范大学兼职教授。IEEE高级会员和IEEE电路与系统汇刊编委。2002年获得国家杰出青年科学基金。2005年获得IEEE电路与系统协会最佳论文奖,这是该奖自1968年设立以来国内学者首次获此殊荣。
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主页访问
2594
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关注数
0
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成果阅读
1055
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成果数
11
【期刊论文】Making a Continuous-Time Minimum-Phase System Chaotic by Using Time-Delay Feedback
汪小帆, Xiao Fan Wang, Guanrong Chen, and Kim. F Man
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I: FUNDAMENTAL THEORY AND APPLICATIONS, VOL. 48, NO.5, MAY 2001, 641~645,-0001,():
-1年11月30日
A time-delay feedback control approach is developed for making a continuous-time minimum-phase system chaotic. The approach is based on the geometric control theory and a suitable approximate relationship between a time-delay differential equation and a discrete map. If the original system has an exponentially stable equilibrium point, then a simple time-delay output-feedback controller with arbitrarily small amplitude can drive the system chaotic. Two different types of simulation examples are included for demonstration.
Chaos,, minimum-phase,, time-delay.,
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56浏览
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152下载
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【期刊论文】Generating Chaos in Chua's Circuit via Time-Delay Feedback
汪小帆, Xiao Fan Wang, Guo-Qun Zhong, Kit-Sang Tang, Kim F. Man, and Zhi-Feng Liu
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I: FUNDAMENTAL THEORY AND APPLICATIONS, VOL. 48, NO.9, SEPTEMBER 2001, 1151~1156,-0001,():
-1年11月30日
A time-delay chaotification approach can be applied to the Chua's circuit by adding a small-amplitude time-delay feedback voltage to the circuit. The chaotic dynamics of this newly derived time-delay Chua's circuit is studied by theoretical analysis, verified by computer simulations as well as by circuit experiments.
Chaos,, stability,, time delay.,
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42浏览
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201下载
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【期刊论文】Synchronization in Scale-Free Dynamical Networks: Robustness and Fragility
汪小帆, Xiao Fan Wang, Member, IEEE, and Guanrong Chen, Fellow
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I: FUNDAMENTAL THEORY AND APPLICATIONS, VOL. 49, NO.1, JANUARY 2002, 54~62,-0001,():
-1年11月30日
Recently, it has been demonstrated that many large complex networks display a scale-free feature, that is, their connectivity distributions are in the power-law form. In this paper, we investigate the synchronization phenomenon in scale-free dynamical networks.We show that if the coupling strength of a scale-free dynamical network is greater than a positive threshold, then the network will synchronize no matter how large it is. We show that the synchronizability of a scale-free dynamical network is robust against random removal of nodes, but is fragile to specific removal of the most highly connected nodes.
Chaos,, graph,, network,, synchronization.,
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104浏览
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159下载
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【期刊论文】Generating Topologically Conjugate Chaotic Systems via Feedback Control
汪小帆, Xiao Fan Wang and Guanrong Chen
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I: FUNDAMENTAL THEORY AND APPLICATIONS, VOL. 50, NO.6, JUNE 2003, 812~817,-0001,():
-1年11月30日
This brief proposes a unified approach for generating chaos in -dimensional continuous-time affine systems, with 3, based on the normal form of chaotic systems and nonlinear control theory. A feedback-control law is designed to make a feedback linearizable system topologically conjugate to a reference chaotic system, thereby forcing the given system to become chaotic. Furthermore, if the relative degree of a given feedback unlinearizable system is not less than three and the corresponding internal dynamics of the system is input-to-state stable, then a feedback-control law can still be designed to drive a subsystem of such a controlled system topologically conjugate to a reference chaotic system, thereby generating chaos from that subsystem.
Chaos,, feedback linearization,, nonlinear systems,, topologically conjugate.,
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43浏览
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125下载
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【期刊论文】Anticontrol of chaos in continuous-time systems via time-delay feedback
汪小帆, Xiao Fan Wang, Guanrong Chen a, Xinghuo Yu,
Chaos, Vol. 10, No.4, 2000, 771~779,-0001,():
-1年11月30日
In this paper, a systematic design approach based on time-delay feedback is developed for anticontrol of chaos in a continuous-time system. This anticontrol method can drive a finite-dimensional, continuous-time, autonomous system from nonchaotic to chaotic, and can also enhance the existing chaos of an originally chaotic system. Asymptotic analysis is used to establish an approximate relationship between a time-delay differential equation and a discrete map. Anticontrol of chaos is then accomplished based on this relationship and the differential-geometry control theory. Several examples are given to verify the effectiveness of the methodology and to illustrate the systematic design procedure.
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61浏览
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272下载
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【期刊论文】Complex Networks: Small-World, Scale-Free and Beyond
汪小帆, Xiao Fan Wang and Guanrong Chen
,-0001,():
-1年11月30日
In the past few years, the discovery of small-world and scale-free properties of many natural and artificial complex networks has stimulated a great deal of interest in studying the underlying organizing principles of various complex networks, which has led to dramatic advances in this emerging and active field of research. The present article reviews some basic concepts, important progress, and significant results in the current studies of various complex networks, with emphasis on the relationship between the topology and the dynamics of such complex networks. Some fundamental properties and typical complex network models are described; and, as an example, epidemic dynamics are analyzed and discussed in some detail. Finally, the important issue of robustness versus fragility of dynamical synchronization in complex networks is introduced and discussed.
complex network,, smallworld network,, scale-free network,, synchronization,, robustness
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180浏览
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96下载
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【期刊论文】Astability theorem for Internet congestion control
汪小帆, Xiao Fan Wang a, ∗, Guanrong Chen b, King-Tim Ko b
45 (2002) 81~85,-0001,():
-1年11月30日
This paper proves a stability theorem for an Internet congestion control algorithm with diverse propagation delays.
Stability, Congestion control, Internet
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44浏览
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76下载
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【期刊论文】CHAOTIFICATION VIA ARBITRARILY SMALL FEEDBACK CONTROLS: THEORY, METHOD, AND APPLICATIONS
汪小帆, XIAO FAN WANG, GUANRONG CHEN
International Journal of Bifurcation and Chaos, Vol. 10, No.3 (2000) 549~570,-0001,():
-1年11月30日
In this paper, the problem of making a stable nonlinear autonomous system chaotic or enhancing the existing chaos of an originally chaotic system by using a small-amplitude feedback controller is studied. The designed controller is a linear feedback controller composed with a nonlinear modulo or sawtooth function, which can lead to uniformly bounded state vectors of the controlled system with positive Lyapunov exponents, thereby yielding chaotic dynamics. We mathematically prove that the controlled system is indeed chaotic in the sense of Li and Yorke. A few potential applications of the new chaoti cation algorithm are briefly discussed.
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115浏览
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97下载
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【期刊论文】Synchronizing Chaos and Hyperchaos with Any Scalar Transmitted Signal
汪小帆, Xiao Fan Wang and Zhi Quan Wang
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I: FUNDAMENTAL THEORY AND APPLICATIONS, VOL. 45, NO.10, OCTOBER 1998, 1001~1003,-0001,():
-1年11月30日
By combining the technique of observer design in nonlinear control systems theory and the technique of phase space reconstruction in nonlinear dynamical systems theory, we show that synchronization of smooth (hyper)chaotic systems can be attained with any scalar transmitted signal. The proposed method has been illustrated via two examples.
Chaos,, hyperchaos,, synchronization theory.,
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59浏览
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79下载
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【期刊论文】COMPLEX NETWORKS: TOPOLOGY, DYNAMICS AND SYNCHRONIZATION
汪小帆, XIAO FAN WANG
International Journal of Bifurcation and Chaos, Vol. 12, No.5 (2002) 885~916,-0001,():
-1年11月30日
Dramatic advances in the eld of complex networks have been witnessed in the past few years. This paper reviews some important results in this direction of rapidly evolving research, with emphasis on the relationship between the dynamics and the topology of complex networks. Basic quantities and typical examples of various complex networks are described; and main network models are introduced, including regular, random, small-world and scale-free models. The robustness of connectivity and the epidemic dynamics in complex networks are also evaluated. To that end, synchronization in various dynamical networks are discussed according to their regular, small-world and scale-free connections.
Complex network, topology, dynamics, synchronization.,
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216浏览
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789下载
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