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 presents an algorithm for solving optimization problems with bilinear matrix inequality (BMI) constraints, which frequently appear in controller synthesis. The algorithm is based on a combination of gradient-based optimization and linear matrix inequalities (LMIs), which makes it fast and enables it to handle a large number of decision variables. Here it is used to synthesize fixed-structure...
In this paper a method is proposed that allows the identification of input-output quasi-linear parameter-varying (LPV) models based on ergodic signals. In this case the use of the instrumental variables (IV) method leads to a consistent estimation of the quasi-LPV model parameters. Moreover, an indirect closed-loop identification technique, which has been proposed for the identification of linear...
SLAM is defined as simultaneous estimation of mobile robot pose and structure of the surrounding environment Currently, there is a much interest in Visual SLAM, SLAM with a camera as main sensor, because the camera is an ubiquitous and affordable sensor. Camera measurements formed by perspective projection is highly nonlinear with respect to estimated states, leading to complicated nonlinear estimation...
Visual Simultaneous Localization And Mapping, (VSLAM) algorithms exploit the observation of scene naturally-existing distinct features to infer the camera motion and build a map of a static environment. There is an increasing interest towards building efficient VSLAM algorithms mainly from computational perspectives; however, there may be insufficient clues to solve for SLAM parameters efficiently...
This paper presents an identification technique to identify models for Parameter-Varying Spatially Interconnected systems. The main focus of the note is the case when there is additive colored noise in the output of the data generating system. A Refined Instrumental Variable method is proposed to identify parameter-varying spatially interconnected models with Box-Jenkins structure. The technique allows...
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.