Abstract
This paper proposes an event-triggered adaptive fuzzy asymptotic predefined-time controller for uncertain nonlinear systems (UNS) subject to external disturbances. By introducing a set of well-designed asymptotic performance adjustment (APA) functions, we establish a general framework for analyzing asymptotic predefined-time stability (APDTS). Under the control scheme based on the established framework, the system state is guaranteed to converge to a controllable area around zero within a user-defined time and eventually asymptotically converge to zero. Finally, numerical simulations of a robotic arm system verify the effectiveness and superiority of control approaches.
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: Communications in Nonlinear Science and Numerical Simulation
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.
