Abstract
A stable adaptive neural network control scheme, based on that suggested in Boskovic (1997), is designed for a class of second-order unknown nonlinear plants. It is shown that a two-layer neural network, built using a rational activation function, results in a convenient parametrization which enables the generation of stable adaptive laws. The corresponding well-tuned neural network controller results in the stable overall system as demonstrated using a suitably chosen Lyapunov function. It is also shown that this controller can be efficiently combined with an indirect VS controller within the framework of stable multiple model-based adaptive control to achieve the control objective and assure favorable performance of the overall closed-loop system.
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.
