JOURNAL ARTICLE

Controllability of discrete‐time multiagent systems with switching topology

Zehuan LuZhang LiLong Wang

Year: 2018 Journal:   International Journal of Robust and Nonlinear Control Vol: 28 (6)Pages: 2560-2573   Publisher: Wiley

Abstract

Summary The current theoretical investigation on the controllability of switched multiagent systems mainly focuses on fixed connected topology or union graph without nonaccessible nodes. However, for discrete‐time multiagent systems with switching topology, it is still unknown whether the existing results are valid or not under the condition of arbitrary topology. Based on graph distance partitions and Wonham's geometric approach, we provide the lower and upper bounds for the dimension of controllable subspaces of discrete‐time multiagent systems. Unlike the existing results of controllability with switching topology, the proposed results have the advantage of being applicable to multiagent systems with arbitrary graphic topologies, union graph (strongly connected or not), and coupling weights. We also provide 2 algorithms for computing the lower and upper bounds for the dimension of controllable subspaces, respectively. Furthermore, as a remarkable application, we present how the proposed lower bound can be utilized for achieving the targeted controllability if the dimension of the controllable subspace of the switched system satisfies certain conditions.

Keywords:
Controllability Subspace topology Topology (electrical circuits) Multi-agent system Extension topology Upper and lower bounds Linear subspace Dimension (graph theory) Graph Discrete time and continuous time Network topology Mathematics Computer science Network controllability Discrete mathematics General topology Combinatorics Topological space Applied mathematics Pure mathematics Artificial intelligence

Metrics

11
Cited By
0.75
FWCI (Field Weighted Citation Impact)
40
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Gene Regulatory Network Analysis
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering

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