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.
Technological advances in both GPS and low cost micro-electro mechanical system (MEMS)-based inertial sensors enabled monitoring the location of moving platforms for numerous positioning and navigation (POS/NAV) applications. When miniaturized inside any moving platforms, MEMS-based inertial navigation system (INS) can be integrated with GPS and enhance the performance in denied GPS environments (like...
In this paper, we propose a novel particle filter (PF), which uses a bank of singular-value-decomposition based sampling Kalman filters (SVDSKF) to obtain the importance proposal distribution. This proposal has two properties. Firstly, it allows the particle filter to incorporate the latest observations into a prior updating routine and, secondly it inherits advantage of having good numerical stability...
Traditional methods estimate and control the manipulator end-pointpsilas position indirectly by using the models of its kinematics and jointspsila measurements. If the measurement of end-point is available directly, and use extended Kalman filtering to estimate the state vector of the model dynamically, we can obtain more accurate value about the end-pointpsilas position than the traditional method...
Jump processes are special kind of non-Gaussian stochastic processes with random jumps at random time points. These processes can be used to model sudden random variations of state variables in dynamic systems. We propose a new algorithm for tracking of these processes. Generally speaking, we are faced with non-Gaussianity in the jump process which is an inherent property and possibly the non-Gaussian...
System dynamics estimation is a crucial issue for the safe operation and control of nuclear power plants. Typically, the estimation is based on a model of the plant dynamics and related measurements. In practice, the non-linearity of the dynamics and non-Gaussianity of the noise associated to the process and measurements lead to inaccurate results even with advanced approaches, such as the Kalman,...
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.