Abstract
AbstractIn this article, the command filtered fixed‐time fault‐tolerant control (FTC) problem is investigated for multi‐agent systems (MASs). The considered MASs with nonstrict feedback form are affected by unknown nonlinear functions and sensor faults, which are solved by using the properties of neural networks (NNs). In the design process, in order to avoid the “singularity” and “explosion of complexity” problems, an adaptive command filtered fixed‐time NN fault‐tolerant controller is devised. Based on the Lyapunov stability theory, all output signals of leader and followers in the closed‐loop system are synchronized within fixed time. Finally, the effectiveness of the proposed control scheme is verified by simulation experiments.
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 callMore From: International Journal of Robust and Nonlinear Control
Disclaimer: 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.
