Abstract
Aiming at the uncertain parameters and transient instability of the system caused by the actuator fault of the multiagent system, this article adopts the radial basis function neural networks to approximate unknown nonlinear function. Then, a novel adaptive fault-tolerant controller is designed based on the combination back-stepping technology and dynamic surface technology to compensate the unknown nonlinear hybrid actuator faults, thereby improving the fault tolerance of the system. Furthermore, the designed controller can guarantee the transient stability of the system through finite-time theory and Lyapunov stability theory. Finally, the comparison of two simulation examples is given to verify the effectiveness of the designed controller, which provided an effective research idea for engineering practice.
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.
