Adaptive Lag Selection Mechanism
Simulations carried out over different problems indicate that during the initial few lags, the smoother attempts to capture information from previous lagged estimates, and once this estimate converges, higher-lag estimates are not very helpful.
Jul 15, 2022 · In this work, an adaptive approach is devised to choose an appropriate lag-length that provides a good trade-off between accuracy and ...
In this work, an adaptive approach is devised to choose an appropriate lag-length that provides a good trade-off between accuracy and computational requirements ...
The analysis shown in this paper for the error dynamics of the fixed-lag smoother over the lags helps in understanding its saturation over increasing lags ...
In this work, an adaptive approach is devised to choose an appropriate lag-length that provides a good trade-off between accuracy and computational requirements ...
Nov 7, 2024 · This paper presents a forward-in-time online smoother algorithm with adaptive lags for the CGNS framework, eliminating the need for a full ...
Nov 7, 2024 · This paper develops an adaptive-lag online smoother for a large class of complex dynamical systems with strong nonlinear and non-Gaussian ...
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Sep 22, 2022 · We present a novel algorithm, an adaptive-lag smoother, approximating efficiently, in an online fashion, sequences of expectations under the ...
The smoother solves the joint input and state estimation problem based on sparse vibration measurements. Two numerical examples are examined in order to study ...
Oct 22, 2024 · We present a novel algorithm, an adaptive-lag smoother, approximating efficiently, in an online fashion, sequences of expectations under the ...