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Command Filter Adaptive Asymptotic Tracking of Uncertain Nonlinear Systems With Time-Varying Parameters and Disturbances

IEEE Transactions on Automatic Control, 2021
This article is devoted to the adaptive asymptotic tracking for a class of uncertain nonlinear systems. The presence of unknown time-varying parameters and uncertain disturbances makes the systems in question essentially different from those in the ...
Yuanxin Li
semanticscholar   +1 more source

Time-varying matched filters

Circuits Systems and Signal Processing, 1996
We examine a generalized matched-filter problem in which the interference is a nonstationary process generated by passing white noise through a general linear time-varying filter. First a matched filter is constructed by transforming the problem into an equivalent formulation involving stationary interference and a time-varying propagation channel ...
Sills, James A., Kamen, Edward W.
openaire   +1 more source

An analysis of the Robert–Asselin time filter for the correction of nonphysical acoustics in an artificial compression method

Numerical Methods for Partial Differential Equations, 2018
Artificial compression methods create nonphysical acoustic waves. Time filters, often used in geophysical fluid dynamics, are shown in this paper to selectively damp these acoustics.
V. DeCaria   +2 more
semanticscholar   +1 more source

The time filter for the non-stationary coupled Stokes/Darcy model

, 2019
In this paper, we consider the effect of adding a simple time filter to the Backward Euler scheme for the non-stationary coupled Stokes/Darcy model.
Yi Qin, Yanren Hou
semanticscholar   +1 more source

Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter

IEEE Transactions on Instrumentation and Measurement, 2020
Rolling bearings are the key components of rotating machinery. Thus, the prediction of remaining useful life (RUL) is vital in condition-based maintenance (CBM). This paper proposes a new method for RUL prediction of bearings based on time-varying Kalman
Lingli Cui   +3 more
semanticscholar   +1 more source

Continuous-Time Filters

1993
A filter is a two port that shapes the spectrum of the input signal in order to obtain an output signal with the desired frequency content. Thus, a filter has passbands where the frequency components are transmitted to the output and stop bands where they are rejected.
Rolf Schaumann, Mehmet Ali Tan
openaire   +1 more source

Time-Notch Filtering

IEEE Transactions on Electromagnetic Compatibility, 1970
A method is described for measuring low-level time-truncated signals by using narrow-bandwidth synchronous time-notch filters. These filter systems, intended for use with ordinary narrowband receivers or field intensity meters, provide a means of isolating time-truncated signals of interest from adjacent interfering signals.
Albert A. Smith, Walter L. Tuchman
openaire   +1 more source

Real-Time Joint Filtering of Gravity and Gravity Gradient Data Based on Improved Kalman Filter

IEEE Transactions on Geoscience and Remote Sensing
Gravity and gravity gradient data are widely used in geodesy, geodynamics, oil and mineral exploration, and aided navigation. The measured gravity and gravity gradient data include high-frequency noise caused by instrument system error, environmental ...
Yuan Yuan   +5 more
semanticscholar   +1 more source

Temporal filtering with time lenses

Applied Optics, 1992
We propose to use optics for ultrafast serial processing by employing the well known analogy between optical spatial diffraction and temporal dispersion. The essence of this analogy can be stated briefly like this: The temporal frequency corresponds to the spatial frequency in the lateral direction, and the time t corresponds to the lateral coordinate ...
A W, Lohmann, D, Mendlovic
openaire   +2 more sources

A framework for state-of-charge and remaining discharge time prediction using unscented particle filter

, 2020
As a typical complex system, the lithium-ion battery system is characterized by strong coupling and nonlinearity, which brings great challenges to its modeling, state estimation, and control.
Yujie Wang, Zonghai Chen
semanticscholar   +1 more source

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