Sliding-Mode-Based Differentiation and Filtering

Arie Levant*, Xinghuo Yu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

83 Scopus citations

Abstract

The proposed kth-order filter is based on sliding modes (SMs). It exactly estimates k input derivatives in the absence of noises, and is robust to noises of small magnitudes or having small average values. Estimation accuracy asymptotics are calculated. The filter is applied to the real-time accurate estimation of the equivalent control in SM control systems.

Original languageEnglish
Article number8267210
Pages (from-to)3061-3067
Number of pages7
JournalIEEE Transactions on Automatic Control
Volume63
Issue number9
DOIs
StatePublished - Sep 2018

Funding

FundersFunder number
Australian Research Council170102303

    Keywords

    • Discrete event systems
    • estimation
    • nonlinear filtering
    • sliding-mode control (SMC)
    • uncertain systems

    Fingerprint

    Dive into the research topics of 'Sliding-Mode-Based Differentiation and Filtering'. Together they form a unique fingerprint.

    Cite this