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Cites:

Information Journal Paper

Title

PARAMETER ESTIMATION IN HYSTERETIC SYSTEMS BASED ON ADAPTIVE LEAST-SQUARES

Pages

  217-221

Keywords

LEAST-SQUARES ESTIMATION (LSE) 

Abstract

 In this paper, various identification methods based on least-squares technique to estimate the unknown parameters of structural systems with HYSTERESIS are investigated. The Bouc-Wen model is used to describe the behavior of hysteretic nonlinear systems. The adaptive versions are based on the fixed and variable forgetting factor and the optimized version is based on optimized adaptive coefficient matrix. Simulation results show the efficient performance of the proposed technique in identification and tracking of hysteretic structural system parameters compared with other least square based algorithms.

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    Cite

    APA: Copy

    PEIMANI, MANSOUR, YAZDANPANAH, MOHAMMAD JAVAD, & KHAJI, NASER. (2013). PARAMETER ESTIMATION IN HYSTERETIC SYSTEMS BASED ON ADAPTIVE LEAST-SQUARES. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), 1(4), 217-221. SID. https://sid.ir/paper/332624/en

    Vancouver: Copy

    PEIMANI MANSOUR, YAZDANPANAH MOHAMMAD JAVAD, KHAJI NASER. PARAMETER ESTIMATION IN HYSTERETIC SYSTEMS BASED ON ADAPTIVE LEAST-SQUARES. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST)[Internet]. 2013;1(4):217-221. Available from: https://sid.ir/paper/332624/en

    IEEE: Copy

    MANSOUR PEIMANI, MOHAMMAD JAVAD YAZDANPANAH, and NASER KHAJI, “PARAMETER ESTIMATION IN HYSTERETIC SYSTEMS BASED ON ADAPTIVE LEAST-SQUARES,” JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), vol. 1, no. 4, pp. 217–221, 2013, [Online]. Available: https://sid.ir/paper/332624/en

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