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.
Model predictive control (MPC) framework is becoming more and more attractive in designing vehicular adaptive cruise control (ACC) system. However, benefiting from its advantage, e.g. close-loop optimality, MPC algorithm must overcome some of its practical problems, among which low robustness to model mismatch and computing infeasibility of control law are most critical. Aiming at MPC based vehicular...
To comprehensively deal with tracking capability and fuel economy issue of ACC-activated vehicle, this paper presents a MPC based vehicular following control algorithm. After compensating the nonlinearity of vehicle longitudinal dynamics by inverse model, the car-following system is built as 3-state space linear model. On its basis, a standard MPC optimization cost is constructed mainly considering...
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.