Litcius/Paper detail

Prescribed-Time Time-Varying Output Formation Tracking for Heterogeneous Multiagent Systems

Zhexin Shi, Zhi Feng, Qing Wang, Xiwang Dong, Jinhu Lü, Zhang Ren, Danwei Wang

2024IEEE Internet of Things Journal17 citationsDOI

Abstract

This article addresses a prescribed-time time-varying output formation tracking (TVOFT) problem for heterogeneous multiagent systems (MASs) under directed topologies. Formation tracking in heterogeneous linear MASs is critical for practical applications, such as cooperative robotics, autonomous transportation, and surveillance. However, many existing related designs often fail to guarantee convergence within a prescribed time. To overcome this limitation, a distributed prescribed-time TVOFT protocol associated with a corresponding design algorithm is presented. In the designed protocol, a distributed output-feedback observer is constructed for each follower to estimate the state of the leader within a prescribed time. Then, a local output-feedback controller is developed by incorporating a local state observer. It is proved that the heterogeneous MASs can achieve the desired TVOFT within the prescribed time. Furthermore, a heterogeneous experimental platform consisting of two autonomous aerial vehicles and three autonomous ground vehicles, is constructed to verify the effectiveness of the proposed prescribed-time TVOFT design. Comparative experiment results highlight the advantages of the proposed design over existing methods from the perspective of accurate prescribed-time convergence and practical feasibility.

Topics & Concepts

Computer scienceMulti-agent systemTracking (education)Distributed computingReal-time computingArtificial intelligencePedagogyPsychologyTarget Tracking and Data Fusion in Sensor NetworksAdvanced Control Systems OptimizationDistributed Control Multi-Agent Systems