JOURNAL ARTICLE

A New Fixed-Time Consensus Tracking Approach for Second-Order Multiagent Systems Under Directed Communication Topology

Junkang NiYang TangPeng Shi

Year: 2019 Journal:   IEEE Transactions on Systems Man and Cybernetics Systems Vol: 51 (4)Pages: 2488-2500   Publisher: Institute of Electrical and Electronics Engineers

Abstract

This paper considers fixed-time consensus tracking of second-order multiagent systems (MASs) under directed interaction topology. A novel distributed observer is presented to estimate the leader’s states within a fixed time, which overcomes the difficulties caused by the asymmetry of the Laplacian matrix. A sliding surface is designed and a nonsingular terminal sliding mode consensus protocol is developed to achieve fixedtime convergence of the tracking error to the origin. It is shown that each follower can track the leader’s trajectory within a fixed time. Particularly, the gain of the presented consensus protocol is directly related to the prescribed time, which makes it convenient to determine and tune the gain according to the requirement of convergence time. Moreover, the presented control protocol reduces the conservativeness of the convergence time estimation for sliding motion. The simulation results validate the effectiveness of the proposed consensus scheme.

Keywords:
Convergence (economics) Multi-agent system Control theory (sociology) Topology (electrical circuits) Computer science Protocol (science) Observer (physics) Trajectory Consensus Tracking (education) Laplacian matrix Mathematics Mathematical optimization Control (management) Theoretical computer science Graph Artificial intelligence

Metrics

96
Cited By
8.74
FWCI (Field Weighted Citation Impact)
52
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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