Next Article in Journal
Tribological Properties of Aluminum Nanoparticles as Additives in an Aqueous Glycerol Solution
Next Article in Special Issue
Extended Backstepping Sliding Controller Design for Chattering Attenuation and Its Application for Servo Motor Control
Previous Article in Journal
Luminescent Properties of Silicon Nanocrystals:Spin on Glass Hybrid Materials
Previous Article in Special Issue
PSO-Based Voltage Control Strategy for Loadability Enhancement in Smart Power Grids
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Appl. Sci. 2017, 7(1), 67; doi:10.3390/app7010067

Nonlinear Integral Type Observer Design for State Estimation and Unknown Input Reconstruction

Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan 701, Taiwan
Academic Editors: Chien-Hung Liu and Huei-Chu Weng
Received: 12 November 2016 / Revised: 2 January 2017 / Accepted: 4 January 2017 / Published: 14 January 2017
(This article belongs to the Special Issue Selected Papers from the 2016 International Conference on Inventions)
View Full-Text   |   Download PDF [7502 KB, uploaded 14 January 2017]   |  


This paper is concerned with model-based robust observer designs for state observation and its application for unknown input reconstruction. Firstly, a sliding mode observer (SMO), which provides exponential convergence of estimation error, is designed for a class of multivariable perturbed systems. Observer gain matrices subject to specific structures are going to be imposed such that the unknown perturbation will not affect estimate precision during the sliding modes; Secondly, to improve discontinuous control induced in the SMO as well as pursue asymptotic estimate precision, a proportional-integral type observer (PIO) is further developed. Both the design procedures of the SMO and PIO algorithms are characterized as feasibility issues of linear matrix inequality (LMI) and thus the computations of the control parameters can be efficiently solved. Compared with the SMO, it will be demonstrated that the PIO is capable of achieving better estimation precision as long as the unknown inputs are continuous. Finally, a servo-drive flexible robot arm is selected as an example to demonstrate the applications of the robust observer designs. View Full-Text
Keywords: sliding mode control; robust observer; input reconstruction; linear matrix inequality sliding mode control; robust observer; input reconstruction; linear matrix inequality

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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Peng, C.-C. Nonlinear Integral Type Observer Design for State Estimation and Unknown Input Reconstruction. Appl. Sci. 2017, 7, 67.

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