Next Article in Journal
Analysis and Improvement of Fireworks Algorithm
Next Article in Special Issue
Correction: A No Reference Image Quality Assessment Metric Based on Visual Perception. Algorithms 2016, 9, 87
Previous Article in Journal
Problems on Finite Automata and the Exponential Time Hypothesis
Previous Article in Special Issue
A Pilot-Pattern Based Algorithm for MIMO-OFDM Channel Estimation
Article Menu

Export Article

Open AccessArticle
Algorithms 2017, 10(1), 25; doi:10.3390/a10010025

An On-Line Tracker for a Stochastic Chaotic System Using Observer/Kalman Filter Identification Combined with Digital Redesign Method

Department of Computer Science and Multimedia Design, Taiwan Shoufu University, No. 168, Nanshi Li, Madou District, Tainan City 72153, Taiwan
Department of Computer Science and Information Engineering, Asia University, No. 500, Lioufeng Rd, Wufeng, Taichung 41354, Taiwan
Author to whom correspondence should be addressed.
Academic Editor: Hsiung-Cheng Lin
Received: 15 November 2016 / Revised: 8 February 2017 / Accepted: 9 February 2017 / Published: 15 February 2017
View Full-Text   |   Download PDF [2655 KB, uploaded 15 February 2017]   |  


This is the first paper to present such a digital redesign method for the (conventional) OKID system and apply this novel technique for nonlinear system identification. First, the Observer/Kalman filter Identification (OKID) method is used to obtain the lower-order state-space model for a stochastic chaos system. Then, a digital redesign approach with the high-gain property is applied to improve and replace the observer identified by OKID. Therefore, the proposed OKID combined with an observer-based digital redesign novel tracker not only suppresses the uncertainties and the nonlinear perturbations, but also improves more accurate observation parameters of OKID for complex Multi-Input Multi-Output systems. In this research, Chen’s stochastic chaotic system is used as an illustrative example to demonstrate the effectiveness and excellence of the proposed methodology. View Full-Text
Keywords: tracker; stochastic chaotic system; identification; digital redesign tracker; stochastic chaotic system; identification; digital redesign

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).

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

Chien, T.-H.; Chen, Y.-C. An On-Line Tracker for a Stochastic Chaotic System Using Observer/Kalman Filter Identification Combined with Digital Redesign Method. Algorithms 2017, 10, 25.

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]
Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top