Title :
Pattern Synchronization of Nonlinear Heterogeneous Multiagent Networks With Jointly Connected Topologies
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle, Callaghan, NSW, Australia
Abstract :
In this paper, a decentralized control algorithm is proposed for a group of heterogeneous agents with nonlinear dynamics such that it achieves synchronization in diverse collective motion patterns. With the aid of a group of deliberately designed linear homogeneous reference models, the synchronization problem is converted into a class of regulation problem. The regulation problem is hence solved using the nonlinear output feedback control technique. The conversion and, hence, the decentralized synchronization algorithm are valid when the multiagent system is jointly connected in terms of its time-varying network topologies. The effectiveness of the algorithm is verified through theoretical analysis.
Keywords :
decentralised control; feedback; multi-agent systems; network theory (graphs); nonlinear control systems; nonlinear dynamical systems; synchronisation; time-varying systems; collective motion patterns; decentralized control algorithm; decentralized synchronization algorithm; heterogeneous agents; jointly connected topologies; linear homogeneous reference models; multiagent system; nonlinear dynamics; nonlinear heterogeneous multiagent networks; nonlinear output feedback control technique; pattern synchronization; time-varying network topologies; Algorithm design and analysis; Multi-agent systems; Nonlinear systems; Synchronization; Trajectory; Consensus; cooperative control; heterogeneous systems; multiagent systems; nonlinear systems; synchronization;
Journal_Title :
Control of Network Systems, IEEE Transactions on
DOI :
10.1109/TCNS.2014.2357551