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, a control strategy based on fuzzy emulation of LQG controller is proposed. The design procedure aims to contruct fuzzy logic based controllers by emulating higher-order control laws using fuzzy reasoning and clustering techniques. The study is conducted on a nonlinear drum boilerturbine model for which a multivariable LQG fuzzy emulator is designed. Simulations under different operating...
Nighttime traffic flow congestion estimation is a challenging problem, the use of a model for describing the traffic parameters is a good solutions but it is necessary to have an accurate information about the traffic's state before constructing the model. In this paper we propose a new method for developing a road traffic flow model in this challenging situation using accurately measured traffic...
This paper deals with macroscopic traffic modelling. It investigates real magnetic sensor data, provided by the Performance Measurements System (PeMS), in order to identify some traffic parameters related to a portion of the SR60-E highway in Califorina. Then, these parameters are used to validate a switched linear traffic model.
In this paper we focus on the Job Shop Scheduling Problem (JSSP) using Priority Dispatching Rules. Simulation model for makespan optimization is proposed using different Dispatching Rules (DR) for each machine in the shop floor. Collected results are used for learning base construction. This database will be used to develop an inference model able to select the best DR for every new scheduling problem...
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.