Neurocomputing 275 (2018) 2104–2110
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Neurocomputing
journal homepage: www.elsevier.com/locate/neucom
Brief papers
Finite-time synchronization of nonlinear complex dynamical networks
on time scales via pinning impulsive control
Xiaodong Lu
a
, Xianfu Zhang
a , ∗
, Qingrong Liu
b
a
School of Control Science and Engineering, Shandong University, Jinan 250061, PR China
b
School of Mathematics and Quantitative Economics, Shandong University of Finance and Economics, Jinan 250014, P China
a r t i c l e i n f o
Article history:
Received 15 June 2017
Revised 7 September 2017
Accepted 23 October 2017
Available online 2 November 2017
Communicated by Prof. Yugang Niu
Keywords:
Finite-time synchronization
Nonlinear complex dynamical networks
Pinning impulsive control
Time scale
a b s t r a c t
This paper studies the finite-time synchronization problem of nonlinear complex dynamical net-
works (NCDNs) on time scales. A pinning impulsive control strategy, in which only a small portion of
nodes are impulsively controlled, is designed to achieve finite-time synchronization for NCDNs on time
scales. Based on the theory of time scales, Lyapunov method and mathematical induction approach, a
finite-time synchronization criterion is obtained for NCDNs on time scales under the pinning impulsive
control strategy. It is shown that the finite-time synchronization criterion in this paper is different from
that derived for continuous-time or discrete-time NCDNs. Moreover, the idea of this paper provides a
unified approach to study the finite-time synchronization problems for continuous-time NCDNs and their
discrete-time counterparts simultaneously. A numerical simulation example is given to illustrate the ef-
fectiveness of our result.
©2017 Elsevier B.V. All rights reserved.
1.
Introduction
Complex dynamical networks, which consist a large set of in-
terconnected nodes with each node being a nonlinear dynami-
cal system with chaotic or stable behavior, describe a wide range
of systems in nature, society and engineering science [1–5] . As
one of the most significant and attractive dynamical phenomenon
of complex dynamical networks, synchronization among individ-
ual nodes has attracted considerable attention over the past years
[6–17] . Most of the existing results were about continuous-time or
discrete-time NCDNs, which were usually investigated separately.
However, in some real-world systems, the interaction among dif-
ferent nodes can happen at any time, so it is meaningful and de-
sirable to study both continuous-time and discrete-time NCDNs
under a unified framework. The theory of time scales, which was
introduced by Stefan Hilger in 1988, not only can unify the theory
of continuous and discrete systems, but also has a tremendous po-
tential for applications [40] . Recently, complex dynamical networks
on time scales have received increasing interest and some results
about synchronization of this type of network model have been
obtained [18–20] .
∗
Corresponding author.
E-mail addresses: lxd1025744209@163.com (X. Lu), zhangxianfu@sdu.edu.cn (X.
Zhang), liuqingrong18@126.com (Q. Liu).
From practical point of view, it is more realistic to achieve
the synchronization objective over a finite-time interval. Gener-
ally speaking, there exist two kinds of finite-time synchronization.
One of them means that under the situation of giving a bound on
the initial conditions, the trajectories of states do not exceed some
bounds over a fixed finite-time interval [21–23] , the other means
that the trajectories of states converge to equilibrium at a setting
time [24–26] . According to the first case, this paper studies the
finite-time synchronization problem of NCDNs on time scales.
Various control strategies were applied to study network syn-
chronization problems, such as pinning control [27–29] , pinning
impulsive control [30–32] , distributed impulsive control [33–37] ,
adaptive distributed control [38,39] , etc. The strategy of pinning
impulsive control, which means only a small fraction of nodes are
selected to be controlled by impulsive controllers, can greatly re-
duce the control cost for synchronizing dynamical networks. In
[30] , the authors proposed the pinning impulsive control strategy
for the stabilization problem of nonlinear dynamical networks with
time-varying delay. In [31] , the authors proposed a different pin-
ning impulsive control scheme to achieve synchronization of linear
complex dynamical networks on time scales. The difference be-
tween them is that the latter considers time-delay effects in the
pinning impulsive controller, and the number of nodes to be con-
trolled at each impulsive instant can be different. Unfortunately, to
the best of our knowledge, there are few results about the pinning
impulsive synchronization problem of NCDNs on time scales.
https://doi.org/10.1016/j.neucom.2017.10.033
0925-2312/© 2017 Elsevier B.V. All rights reserved.