JOURNAL ARTICLE

Second‐order controllability of two‐time‐Scale discrete‐time multi‐agent systems

Mingkang LongHousheng SuБо Лю

Year: 2019 Journal:   IET Control Theory and Applications Vol: 13 (15)Pages: 2356-2364   Publisher: Institution of Engineering and Technology

Abstract

In this study, the controllability of multi‐agent systems with second‐order dynamic under discrete‐time model, which evolve on two time scales. The authors first characterise the systems by difference equations with a singular perturbation parameter. Then, in order to get rid of the singular perturbation parameter, they split the systems into a slow subsystem and fast subsystem based on the iterative method and approximate approach. Moreover, according to matrix theory, they deduce a lot of necessary and/or sufficient controllability criteria of the systems. In particular, a second‐order controllability criterion only depending on the eigenvalues of matrices is proposed, which is more easy‐to‐use and efficient. A simulation example is lastly given to clarify the validity of all theoretical results.

Keywords:
Controllability Control theory (sociology) Eigenvalues and eigenvectors Discrete time and continuous time Mathematics Perturbation (astronomy) Singular perturbation Applied mathematics Matrix (chemical analysis) Computer science Mathematical optimization Mathematical analysis Control (management)

Metrics

5
Cited By
0.78
FWCI (Field Weighted Citation Impact)
49
Refs
0.73
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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