• 検索結果がありません。

Investigating Synchronization Phenomena in Complex Networks Consisting of Oscillators

N/A
N/A
Protected

Academic year: 2021

シェア "Investigating Synchronization Phenomena in Complex Networks Consisting of Oscillators"

Copied!
1
0
0

読み込み中.... (全文を見る)

全文

(1)

Investigating Synchronization Phenomena in Complex Networks Consisting of Oscillators

Tsuyoshi ISOZAKI Takumi NARA Yoko UWATE Yoshifumi NISHIO ( Tokushima University)

1. Introduction

Complex networks have attracted a lot of attention.

Some features of complex networks are related to real world networks and have been studied in terms of network struc- ture and interactions between nodes. In this study, we build three network models by using oscillators and investigate synchronization phenomena between nodes in networks.

2. System Model

Figure 1 shows van der Pol oscillator. This oscillator consists of a capacitor, an inductor and a nonlinear element.

Figure 2 shows three network models.

v

i

L

i

g

C L G

i

Figure 1: van der Pol oscillator.

(a) (b) (c)

Figure 2: Network model.

(a) Regular. (b) ER random. (c) BA scale-free.

Table 1:Node numberN, Average node degreedavg, Max- imum node degreedmaxand Average distanceDavgof three network models.

network Regular ER random BA scale-free

N 100 100 100

davg 4.0 3.88 3.92

dmax 4.0 1.0 2.0

Davg 12.87 3.58 2.98

The normalized circuit equations are described as follows:











dxi

=α {

εxi(1−x2i)−yi

100 i,j=1

γij(xi−xj) }

dyi

=xi

(i, j= 1,2,· · ·,100).

(1)

3. Results

We set the parameters of the system as ε = 0.1 and α= 1.0. Here, the mismatch is added toα. The mismatch is generated by random and the range of the mismatch is set to [-0.5:0.5]. In this study, we focus on the relation between mismatch differences, synchronization rates and coupling strengthγand show the results of simulations in the three network models.

Synchronization rate Synchronization rate

Mismatch differences Mismatch differences

(a)γ=0.5 (b)γ=4.0

Figure 3: The relation between mismatch differences, syn- chronization rates and coupling strengthγ(Regular).

Synchronization rate

Mismatch differences

Synchronization rate

Mismatch differences

(a)γ=0.5 (b)γ=3.0

Figure 4: The relation between mismatch differences, syn- chronization rates and coupling strengthγ(ER random).

Synchronization rate Synchronization rate

Mismatch differences Mismatch differences

(a)γ=0.5 (b)γ=1.2

Figure 5: The relation between mismatch differences, syn- chronization rates and coupling strengthγ(BA scale-free).

As a result, it is not confirmed that synchronization and mismatch differences are heavily related in regular network from Fig. 3. Further it is confirmed that synchronization and mismatch differences are related in ER random and BA scale-free and when coupling strength is higher, pair of nodes of high synchronization rate increase in ER random but pair of nodes of high synchronization rate decrease in BA scale-free from Fig. 4 and Fig. 5.

4. Conclusion

In this study, we have investigated the synchronization in three network models. It was confirmed that the rela- tion between mismatch differences, synchronization rates and coupling strength differs each the network model.

令和2年度電気・電子・情報関係学会四国支部連合大会 講演論文集 (愛媛大学)  2020 SHIKOKU-SECTION  JOINT CONVENTION RECORD OF THE INSTITUTES OF ELECTRICAL AND RELATED ENGINEERS (EHIME UNIV.)

1-14

参照

関連したドキュメント

Based on the stability theory of fractional-order differential equations, Routh-Hurwitz stability condition, and by using linear control, simpler controllers are designed to

For this reason, as described in [38], to achieve low cost and easy implementation, it is significant to investigate how the drive and response networks are synchronized by pinning

A lemma of considerable generality is proved from which one can obtain inequali- ties of Popoviciu’s type involving norms in a Banach space and Gram determinants.. Key words

Therefore, motivated by the impact of topological structures and the delays on the dynamics of the networks, this paper mainly focuses on the effect of delays on inner

Theorem 2.11. Let A and B be two random matrix ensembles which are asymptotically free. In contrast to the first order case, we have now to run over two disjoint cycles in the

More general problem of evaluation of higher derivatives of Bessel and Macdonald functions of arbitrary order has been solved by Brychkov in [7].. However, much more

We describe a generalisation of the Fontaine- Wintenberger theory of the “field of norms” functor to local fields with imperfect residue field, generalising work of Abrashkin for

de la CAL, Using stochastic processes for studying Bernstein-type operators, Proceedings of the Second International Conference in Functional Analysis and Approximation The-