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.
In this paper, multi-vehicle formation control with collision avoidance based on model predictive control (MPC) is proposed. Since there exist the uncertainty arise from the localization in the real environments, it is difficult to guarantee collision avoidance among vehicles by the standard MPC based methods. Furthermore, since MPC based methods can only consider collision avoidance at discrete time...
In this paper, convergent over approximations of the maximum function (previously introduced and used for designing strategies for multiple players in pursuit-evasion games) are used to accomplish two objectives for multiple vehicles scenarios: collision avoidance and trajectory tracking. The fact that these approximations are upper approximations of the maximum functions allows us to establish guarantees...
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.