Abstract
This paper studies the tracking issue of a nonlinear system with actuator faults and constraints. A new adaptive fuzzy control strategy based on an event-triggered mechanism is designed. First, the fuzzy logic system (FLS) is applied as an estimator to deal with unknown nonlinear functions. Then, in order to guarantee that the system states are within the limits of the constraints, the integral barrier Lyapunov function (IBLF) is employed, which ensures the tracking error can converge to zero in backstepping analysis simultaneously. Besides, a sliding mode differentiator, which uses the dynamic surface control technique, is constructed for solving complex computational issues. Furthermore, in order to save communication consumption, a new event-triggered tracking strategy is presented. Finally, the simulation results confirm that the proposed method is viable.
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 callMore From: Transactions of the Institute of Measurement and 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.
