Abstract
In this paper, an adaptive fuzzy controller is investigated for a class of strict-feedback nonlinear state constrained systems with both input delay and unknown control coefficients. Nussbaum gain technique is employed in the design progress to deal with the unknown time-varying control coefficients. Pade approximation and an intermediate variable are applied to compensate for the effect of the input delay and the barrier Lyapunov functionals (BLFs) are used to guarantee the states to remain within their constraint sets. The unknown functions are approximated by Fuzzy logic systems (FLSs). It is proved that the tracking error can converge to a compact set of the origin without violating the state constraint, and all closed loop signals remain bounded. The effectiveness of the proposed controller is illustrated through two examples.
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.
