Synchronization of heterogeneous multiagent systems: A distributed observer and compensation framework. Issue 2 (22nd June 2020)

• Record Type: Journal Article
• Authors: Wang, Bohui; Zhao, Yu; Zhang, Langwen
• Other Names: Duan Haibin guestEditor.; Fang Hao guestEditor.
• Is Part Of: Advanced control for applications. Volume 2:Issue 2(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-06-22
• Subjects: directed communication -- distributed observers -- dual design -- dynamics jointly connected topology -- heterogeneous multiagent systems -- synchronization; Automatic control -- Periodicals; Automatic control; Periodicals; Electronic journals; 629.8
• DOI: 10.1002/adc2.43
• Languages: English
• ISSNs: 2578-0727

Abstract

Abstract: This article proposes a distributed observer and compensation framework to address the synchronization problem of heterogeneous multiagent systems under directed communication and dynamic jointly connected topology scenarios. Different from the previous results, the synchronization problem is solved in our framework which neither relies on the solution of regulator equations which can be regarded as a high gain and usually calculated by a forced equivalence principle, nor assumes the global connectivity condition for all the agents to obtain a bounded synchronization error level. To do this, first, we introduce a dual design principle, where a stabilization condition with an appropriate coupling strength for the synchronization algorithm is proposed. Within this framework, a class of synchronization dynamics called synchronization distributed observers and tracking controller named control protocol are designed. While the synchronization behaviors can be achieved between synchronization distributed observers and control protocol, all the agents will synchronize to their leader in a situation where the system dynamics of the leader can be acquired in advance by all individuals. Finally, simulations of heterogeneous single‐link manipulators are presented to show the effectiveness of our approach. Abstract : We investigate herein how the heterogeneous agents can be synchronization by developing a novel dual design approach under directed communication and dynamic interaction jointly connected topologies, in which the stability analysis does not rely on a prior regulator equation or every follower can access the system dynamics of the leader.