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.
Estimating input signal of a system is called deconvolution or input estimation. The white noise deconvolution has important applications in oil seismic exploration, communications, and signal processing. This paper addresses the problem of designing robust white noise deconvolution estimators for a class of uncertain systems with missing measurements, uncertain noise variances and linearly correlated...
This paper addresses the design problem of robust weighted fusion white noise deconvolution estimators for a class of uncertain multisensor systems with missing measurements, uncertain noise variances and linearly correlated white noises. By introducing the fictitious noise, the considered system is converted into one with only uncertain noise variances. According to the minimax robust estimation...
For multi-model multisensor systems with uncertain-covariance multiplicative and additive white noises, a universal fictitious noise-based Lyapunov equation approach is presented, by which the original system can be converted into one with only uncertain additive noise variances. According to the minimax robust estimation principle, based on the worst-case system with conservative upper bounds of...
For multi-model multisensor systems with uncertain covariance linearly correlated white noises, the design problems of the robust weighted fusion steady-state Kalman estimators (predictor, filter, smoother) are addressed. According to the minimax robust estimation principle, applying Lyapunov equation approach, a unified direct design approach to obtain the local and three weighted fusion robust steady-state...
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.