The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper investigates the issue of neural network adaptive finite‐time tracking control for stochastic nonlinear systems subject to full state constraints. In the controller design process, neural networks are employed to cope with the packed uncertainties and the log‐type barrier Lyapunov functions are introduced to prevent the violation of the state constraints. By using approximated‐based neural...
In this paper, the fast trajectory tracking of unknown quadrotor unmanned aerial vehicles (QUAVs) in the presence of disturbances and unmodeled dynamics is addressed, whereby a novel fast quasi‐sliding mode control (FQSMC) approach via data‐driven cascade control technique is proposed. Salient contributions include (1) an equivalent data‐based model for unknown QUAV, via data‐driven technique, is...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.