Abstract
The paper presents a model reference adaptive control architecture for a class of nonlinear dynamic systems, which are either ill-defined or rather complex. The architecture employs fuzzy systems to model the unknown plant nonlinearity. Then an adaptive law is constructed based on these fuzzy systems. Global asymptotic stability of the algorithm is established in the Lyapunov sense and is shown to be robust with respect to the modelling error, which resulted from the fuzzy systems' approximate representation of the nonlinear plant. Simulation results for an inverted pendulum system show that the proposed control architecture provides fast convergence.
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.
