Title :
Synchronization Conditions for Multiagent Systems With Intrinsic Nonlinear Dynamics
Author :
Dongkun Han ; Chesi, Graziano
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China
Abstract :
This brief studies local and global synchronization in multiagent systems with nonlinear dynamics with respect to equilibrium points and periodic orbits. For local synchronization, a method is proposed based on the transformation of the original system into an uncertain polytopic system and on the use of homogeneous polynomial Lyapunov functions. For global synchronization, another method is proposed based on the search for a suitable polynomial Lyapunov function. The proposed methods exploit linear matrix inequalities and have several advantages. In particular, the proposed methods require the solution of convex optimization problems. Also, the proposed methods exploit more complex Lyapunov functions than the quadratic Lyapunov functions typically considered in the literature and included in this brief as a special case.
Keywords :
Lyapunov methods; convex programming; linear matrix inequalities; multi-agent systems; nonlinear dynamical systems; polynomials; synchronisation; complex Lyapunov function; convex optimization; equilibrium point; global synchronization; homogeneous polynomial Lyapunov function; intrinsic nonlinear dynamics; linear matrix inequalities; local synchronization; multiagent system; periodic orbit; quadratic Lyapunov function; synchronization condition; system transformation; uncertain polytopic system; Lyapunov methods; Multi-agent systems; Nonlinear dynamical systems; Orbits; Polynomials; Symmetric matrices; Synchronization; Lyapunov function; multiagent systems; sum of squares; synchronization;
Journal_Title :
Circuits and Systems II: Express Briefs, IEEE Transactions on
DOI :
10.1109/TCSII.2013.2240882