Stability of dynamicalnetworks with non-identical nodes: A multiple V-Lyapunov function method

Date

2011

Authors

Zhao, Jun
Hill, David
Liu, Tao

Journal Title

Journal ISSN

Volume Title

Publisher

Pergamon-Elsevier Ltd

Abstract

Global asymptotic stability of general dynamical networks with non-identical nodes is studied by introducing multiple V-Lyapunov functions. In such a network, the coupling strength, inner coupling matrix and outer coupling matrix are all allowed to be state-dependent and nonlinear. A stability criterion is proposed in terms of matrix norms and eigenvalues of some lower-dimensional matrices. Based on this criterion, an optimization problem is formed whose solution can be used to test global asymptotic stability. We also study the problem of how to achieve global asymptotic stability by design of controllers under the scheme of multiple V-Lyapunov functions. The control action is regarded as a re-shape of outer coupling topology and the associated controllers are designed. In particular, a method of adding or removing a certain number of links is proposed. Stability analysis of coupled non-identical Lorenz systems and a design example are also given to illustrate the proposed method.

Description

Keywords

Keywords: Control actions; Coupling matrix; Coupling strengths; Dynamical networks; Eigenvalues; Function methods; Global asymptotic stability; Graph; Lorenz system; Matrix norms; Optimization problems; Stability analysis; State-dependent; V-stability; Asymptotic s Dynamical networks; Graph; Synchronization; V-stability

Citation

Source

Automatica

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

Restricted until

2037-12-31