JOURNAL ARTICLE

Distributed adaptive containment control of heterogeneous linear multi‐agent systems: an output regulation approach

Hongjun ChuLixin GaoWeidong Zhang

Year: 2015 Journal:   IET Control Theory and Applications Vol: 10 (1)Pages: 95-102   Publisher: Institution of Engineering and Technology

Abstract

Output regulation is a general framework, for it not only can achieve closed‐loop stability, but also can realise asymptotic tracking and disturbance rejection. Within this framework, the authors consider the containment problem of heterogeneous linear multi‐agent systems with directed graphs. Via dynamic compensator techniques, the containment problem can be converted into cooperative output regulation problem. Moreover, they artfully construct regulation equations, whose solutions are also given. Adaptive protocols are proposed here by assigning a time‐varying coupling weight to each node. Unlike most existing protocols that depend on certain global information, protocols presented in this paper are independent of any global information, and hence are fully distributed. By combining the compensator technique with adaptive control, they propose the distributed dynamic adaptive state feedback and adaptive output feedback protocols for driving followers into the moving convex hull spanned by leaders. The obtained results are applied to the containment control of a network of heterogeneous agents, where the followers are described by mass‐damper spring systems, and the leaders are specified by harmonic oscillators.

Keywords:
Control theory (sociology) Containment (computer programming) Computer science Adaptive control Control (management) Multi-agent system Output feedback Control engineering Engineering Artificial intelligence

Metrics

81
Cited By
11.00
FWCI (Field Weighted Citation Impact)
36
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
Mathematical and Theoretical Epidemiology and Ecology Models
Health Sciences →  Medicine →  Public Health, Environmental and Occupational Health
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications

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