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- Title
Exponential consensus of non-linear stochastic multi-agent systems with ROUs and RONs via impulsive pinning control.
- Authors
Feiqi Deng; Yunjian Peng; Bo Zhang; Hongwei Ren; Chaolong Zhang
- Abstract
Exponential consensus of non-linear stochastic multi-agent systems is investigated. The authors consider a class of non-linear stochastic multi-agent systems that are subject to time-varying delays, randomly occurring uncertainties and randomly occurring non-linearities. Impulsive pinning control algorithms are proposed to ensure that follower agents track the leader under a fixed topology. On the basis of the Lyapunov function and the Halanay differential inequality of impulsive dynamical systems, we derive sufficient conditions for the globally exponential consensus of the multi-agent systems. Finally, numerical simulations demonstrate the effectiveness of the proposed theoretical results.
- Subjects
MULTIAGENT systems; ARTIFICIAL neural networks; LYAPUNOV functions; TOPOLOGY; ELECTRIC network topology; WIENER processes; MATHEMATICAL models
- Publication
IET Control Theory & Applications (Wiley-Blackwell), 2017, Vol 11, Issue 2, p225
- ISSN
1751-8644
- Publication type
Article
- DOI
10.1049/iet-cta.2016.1081