Distributed integral control of multiple UAVs: precise flocking and navigation | Zendy

Saif Osamah | Zendy; Fantoni Isabelle | Zendy; ZavalaRío Arturo | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Distributed integral control of multiple UAVs: precise flocking and navigation

Author(s) -

Saif Osamah,

Fantoni Isabelle,

ZavalaRío Arturo

Publication year - 2019

Publication title -

iet control theory and applications

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.059

H-Index - 108

eISSN - 1751-8652

pISSN - 1751-8644

DOI - 10.1049/iet-cta.2018.5684

Subject(s) - flocking (texture) , control theory (sociology) , computer science , control (management) , control engineering , engineering , artificial intelligence , physics , quantum mechanics

The authors interest in this work is to perform a precise real‐time flocking of multiple unmanned aerial vehicles (UAVs). A consensus‐based flocking algorithm that ensures a precise security distance between UAVs is proposed. By using Lyapunov theoretical analysis, the authors propose a flocking algorithm that ensures the ultimate boundedness of multiple‐UAV system solutions. Moreover, this algorithm is enhanced by a distributed integral control that renders the inter‐distances between UAVs more precise. Finally, experimental results are provided to prove and show the efficiency of these algorithms.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research