Next Article in Journal
The Influence of Process Parameters on the Surface Roughness of a 3D-Printed Co–Cr Dental Alloy Produced via Selective Laser Melting
Previous Article in Journal
Microfluidic Fabrication Solutions for Tailor-Designed Fiber Suspensions
Article Menu

Export Article

Open AccessArticle
Appl. Sci. 2016, 6(12), 400;

Discrete-Time Sliding Mode Filter with Adaptive Gain

School of Engineering, Yanbian University, Yanji 133002, China
School of Mechanical Engineering and Automation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China
Author to whom correspondence should be addressed.
Academic Editor: Lorenzo J. Tardón
Received: 25 September 2016 / Revised: 9 November 2016 / Accepted: 23 November 2016 / Published: 1 December 2016
Full-Text   |   PDF [2199 KB, uploaded 1 December 2016]   |  


In feedback control of mechatronic systems, sensor signals are usually noisy and uncertain because of measurement errors and environmental disturbances. Such uncertainty and noise of feedback signals may cause instability of the controlled systems. This paper presents a new model-free discrete-time sliding mode filter for effectively removing noise by balancing the tradeoff between the filtering smoothness and the suppression of delay. The presented filter is an extension of a sliding mode filter (Jin et al. Real-time quadratic sliding mode filter for removing noise. Adv. Robot., 2012) by including an adaptive gain, of which value is determined in a similar way to that of a first-order adaptive windowing filter (Janabi-Sharifi et al. Discrete-time adaptive windowing for velocity estimation. IEEE Trans. Control Syst. Technol., 2000). The effectiveness of the presented filter is validated through numerical examples and experiments. View Full-Text
Keywords: adaptive gain; sliding mode filter; nonlinear filter; backward Euler discretization adaptive gain; sliding mode filter; nonlinear filter; backward Euler discretization

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Jin, S.; Jin, Y.; Wang, X.; Xiong, X. Discrete-Time Sliding Mode Filter with Adaptive Gain. Appl. Sci. 2016, 6, 400.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Appl. Sci. EISSN 2076-3417 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top