JOURNAL ARTICLE

Controllability of discrete-time multi-agent systems with directed topology and input delay

Zehuan LuZhang LiZhijian JiLong Wang

Year: 2015 Journal:   International Journal of Control Vol: 89 (1)Pages: 179-192   Publisher: Taylor & Francis

Abstract

This paper investigates the controllability of first-order and second-order discrete-time multi-agent systems with directed topology and input delay. The problem is studied in the leader–follower framework where a number of agents are selected to be leaders and serve as control inputs to all other agents. Sufficient and necessary conditions are derived for the controllability of first-order discrete-time multi-agent systems. With sampling period and feedback gain satisfying certain conditions, it is proved under three different protocols that the controllability of second-order discrete-time multi-agent systems is equivalent to that of a pair of submatrices of Laplacian matrix. In addition, the controllability of both first-order and second-order discrete-time multi-agent systems with input delay is shown, through some transformations, to be equivalent to that of the transformed non-delayed systems. Finally, some simulation examples are given to illustrate the theoretical results.

Keywords:
Controllability Discrete time and continuous time Control theory (sociology) Block matrix Mathematics Topology (electrical circuits) Multi-agent system Laplacian matrix Controllability Gramian Order (exchange) Network controllability Matrix (chemical analysis) Computer science Mathematical optimization Control (management) Applied mathematics Laplace operator Eigenvalues and eigenvectors Mathematical analysis Combinatorics

Metrics

37
Cited By
5.67
FWCI (Field Weighted Citation Impact)
26
Refs
0.97
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
Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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