Abstract
This conference paper figures out the tracking control issue of a flapping wing micro aerial vehicle (FWMAV) subject to uncertain system parameters based on the model in Lagrangian form. As we know, there are many uncertainties in the complex nonlinear system. To deal with this problem, radial basis function neural networks (RBFNNs) are considered to substitute uncertainties of FWMAV model. Through Lyapunov stability analysis, all the control performances of the FWMAV system are guaranteed via selecting the appropriate control variables. The boundedness of system states is achieved. Finally, a series of simulations are realized with MATLAB and show good tracking results via our control methods.
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.
