JOURNAL ARTICLE

Robust consensus algorithm for second-order multi-agent systems with external disturbances

Haibo DuShihua LiPeng Shi

Year: 2012 Journal:   International Journal of Control Vol: 85 (12)Pages: 1913-1928   Publisher: Taylor & Francis

Abstract

This article investigates the problem of robust consensus for second-order multi-agent systems with external disturbances. Based on a non-smooth backstepping control technique, a class of novel continuous non-smooth consensus algorithms are proposed for the multi-agent network with/without communication delays. The controller design is divided into two steps. First, for the kinematic subsystem, the velocity is regarded as a virtual input and designed such that the states consensus can be achieved asymptotically. Then for the dynamic subsystem, a finite-time control law is designed such that the virtual velocity can be tracked by the real velocity in a finite time. Under the proposed control law, it is shown that if the communication topology graph contains a directed spanning tree, the states consensus can be achieved asymptotically in the absence of disturbances. In the presence of disturbances, the steady-state errors of any two agents can reach a small region around the origin. By building a relationship between control parameters and the bound of steady tracking errors, it is demonstrated that the disturbance rejection performance of the resulting closed-loop system can be enhanced by adjusting the fractional power in the non-smooth controller. Finally, an example is given to verify the efficiency of the proposed method.

Keywords:
Control theory (sociology) Backstepping Multi-agent system Controller (irrigation) Consensus Upper and lower bounds Network topology Computer science Kinematics Stability theory Mathematics Nonlinear system Control (management) Adaptive control Artificial intelligence

Metrics

106
Cited By
12.89
FWCI (Field Weighted Citation Impact)
54
Refs
0.99
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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