Two-step differentiator for delayed signal
Xinhua Wang, Hai Lin

TL;DR
This paper introduces a high-order two-step differentiator that corrects signal delay and estimates undelayed derivatives, with proven convergence and demonstrated effectiveness through simulations.
Contribution
It proposes a novel two-step differentiator method capable of handling delayed signals and estimating derivatives, with convergence guarantees and simple implementation.
Findings
Effective delay correction demonstrated in simulations
Convergence conditions established for the estimator
Simple implementation with practical applications
Abstract
This paper presents a high-order differentiator for delayed measurement signal. The proposed differentiator not only can correct the delay in signal, but aslo can estimate the undelayed derivatives. The differentiator consists of two-step algorithms with the delayed time instant. Conditions are given ensuring convergence of the estimation error for the given delay in the signals. The merits of method include its simple implementation and interesting application. Numerical simulations illustrate the effectiveness of the proposed differentiator.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSensor Technology and Measurement Systems · Adaptive Control of Nonlinear Systems · Advanced Electrical Measurement Techniques
