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 researches parameter and state estimation problems for linear systems with d-step delay. Combining the linear transformation and the property of the shift operator, the canonical state space model with d-step delay is transformed into an identification model. The stochastic gradient algorithm is raised to identify the parameter vectors. Finally, an example is presented to validate the given...
This paper derives the recursive formulas of the computation of the criterion functions for the well-known weighted recursive least squares algorithm and the finite-data-window recursive least squares algorithm for linear regressive models. The analysis indicates that the proposed recursive computation formulas can be extended to the least squares estimation algorithms for pseudo-linear regression...
This paper presents a two-stage recursive least squares (TS-RLS) algorithm for pseudo-linear regressive models corresponding to the Box-Jenkins models by combining the auxiliary model identification idea and the decomposition technique. The basic idea is to decompose a system into two subsystems with the system model parameters and the noise model parameters, respectively, and then to identify the...
In view of the shortcomings of interval DEA (IDEA) model, a new method that can take the decision maker's preference into consideration is given. Comparing with the exited methods, the model is more robust without demanding too much and precise information, keeps characteristics of the conventional DEA model, and reflects preference of the decision-maker. Numerical example shows the effectiveness...
Location information is of paramount importance for wireless Sensor Networks (WSNs). The design of WSNs has always been focused on an specific point of networks in a two-dimensional (2D) space. Nowadays this design is not enough and the study of the three dimension is needed. In this article, we focus on 3D location accuracy in WSNs. We quantify the estimation accuracy for the RSS measurements by...
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.