Abstract
This paper presents a distributed adaptive formation control method for a class of uncertain multiple Euler-Lagrange systems. The proposed approach is based on the graph theory and an adaptive dynamic surface control, where the system uncertainties are approximately modelled by interval type-2 neuro-fuzzy networks. In this study, the robust stability of the closed-loop system is guaranteed by the Lyapunov theorem, and all agents reach a desired formation following a designated trajectory. In addition to simulation example, the proposed method is applied to each agents of Euler-Lagrange dynamics for performance evaluations. Simulation results indicate that the proposed control scheme has superior responses compared to distributed dynamic surface formation control.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
