A Review of Smooth Variable Structure Filters: Recent Advances in Theory and Applications-Reference-Cited by-同舟云学术

A Review of Smooth Variable Structure Filters: Recent Advances in Theory and Applications

Published:2015-11-13 Issue: Volume: Page:
ISSN:
Container-title:Volume 4A: Dynamics, Vibration, and Control
language:
Short-container-title:

Author:

Gadsden S. Andrew¹,Afshari Hamed H.²

Affiliation:

1. University of Maryland, Baltimore County, Baltimore, MD

2. McMaster University, Hamilton, ON, Canada

Abstract

The smooth variable structure filter (SVSF) is a relatively new state and parameter estimation technique. Introduced in 2007, it is based on the sliding mode concept, and is formulated in a predictor-corrector fashion. The main advantages of the SVSF, over other estimation methods, are robustness to modeling errors and uncertainties, and its ability to detect system changes. Recent developments have looked at improving the SVSF from its original form. This review paper provides an overview of the SVSF, and summarizes the main advances in its theory.

Publisher

American Society of Mechanical Engineers

Link

http://asmedigitalcollection.asme.org/IMECE/proceedings-pdf/doi/10.1115/IMECE2015-50966/4267135/v04at04a055-imece2015-50966.pdf

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance evaluation of a novel adaptive variable structure state estimator;Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering;2022-05-26

2. Pursuit-evasion game switching strategies for spacecraft with incomplete-information;Aerospace Science and Technology;2021-12

3. A multiple model adaptive SVSF-KF estimation strategy;Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII;2019-05-07