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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/108636


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/108636


    Title: An On-Line Tracker for a Stochastic Chaotic System Using Observer/Kalman Filter Identification Combined with Digital Redesign Method
    Authors: 錢增旭;Tseng-Hsu,Chien;陳永欽;YEONG-CHIN,CHEN
    Contributors: 資訊工程學系
    Date: 2017
    Issue Date: 2017-12-08 14:49:04 (UTC+8)
    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.
    Relation: Algorithms
    Appears in Collections:[資訊工程學系] 期刊論文

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