2023
DOI: 10.1016/j.ast.2023.108302
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Learning-based design optimization of second-order tracking differentiator with application to missile guidance law

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Cited by 7 publications
(1 citation statement)
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“…If the position signal is directly differentiated in the discrete-time domain, significant noise is involved and causes distortion in the velocity information, thereby leading to poor compensation performance. Owing to the capacity of the optimal tracking differentiator in discrete-time form to rapidly track input signals without overshoot, it has advantages in eliminating signal vibration and improving differentiation quality [40][41][42][43]. Therefore, the discrete optimal tracking differentiator with nonlinear characteristics is applied to estimate the SITS velocity.…”
Section: Velocity Estimation Based On Tracking Differentiatormentioning
confidence: 99%
“…If the position signal is directly differentiated in the discrete-time domain, significant noise is involved and causes distortion in the velocity information, thereby leading to poor compensation performance. Owing to the capacity of the optimal tracking differentiator in discrete-time form to rapidly track input signals without overshoot, it has advantages in eliminating signal vibration and improving differentiation quality [40][41][42][43]. Therefore, the discrete optimal tracking differentiator with nonlinear characteristics is applied to estimate the SITS velocity.…”
Section: Velocity Estimation Based On Tracking Differentiatormentioning
confidence: 99%