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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

1
Department of Computer Science and Multimedia Design, Taiwan Shoufu University, No. 168, Nanshi Li, Madou District, Tainan City 72153, Taiwan
2
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]   |  

Abstract

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
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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.

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