Biomedical subjects

Xiao Fan Wang

Publications and source records attributed to Xiao Fan Wang.

4 recordsLinked to original sources

PubMed2006

Effects of network structure and routing strategy on network capacity.

The capacity of maximum end-to-end traffic flow the network is able to handle without overloading is an important index for network performance in real communication systems. In this paper, we estimate the variations of network capacity under different routing strategies for three different topologies. Simulation results reveal that the capacity depends on the underlying network structure and the capacity increases as the network becomes more homogeneous. It is also observed that the network capacity is greatly enhanced when the new traffic awareness routing strategy is adopted in each network structure.

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PubMed2004

Cascading failures in coupled map lattices.

Large cascades triggered by initial shocks are common in complex networks. Coupled map lattices have been widely used over the past decades as dynamical models of complex systems. Here we investigate cascading failures in coupled map lattices with different topologies. We find that cascading failures are much easier to occur in small-world and scale-free coupled map lattices than in globally coupled map lattices.

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PubMed2002

Slower speed and stronger coupling: adaptive mechanisms of chaos synchronization.

We show that two initially weakly coupled chaotic systems can achieve synchronization by adaptively reducing their speed and/or enhancing the coupling strength. Explicit adaptive algorithms for speed reduction and coupling enhancement are provided. We apply these algorithms to the synchronization of two coupled Lorenz systems. It is found that after a long-time adaptive process, the two coupled chaotic systems can achieve synchronization with almost the minimum required coupling-speed ratio.

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PubMed2000

Anticontrol of chaos in continuous-time systems via time-delay feedback.

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. (c) 2000 American Institute of Physics.

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