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Article type: Research Article
Authors: Zhang, Jinga | Sheng, Yuhonga; * | Wang, Xiaolib
Affiliations: [a] College of Mathematical and System Sciences, Xinjiang University, Urumqi, China | [b] College of Information Science and Engineering, Xinjiang University, Urumqi, China
Correspondence: [*] Corresponding author. Yuhong Sheng, College of Mathematical and System Sciences, Xinjiang University, Urumqi 830046, China. Tel.: +86 18167978160; E-mail: [email protected].
Abstract: Parameter estimation of high-order uncertain differential equations is an inevitable problem in practice. In this paper, the equivalent equations of high-order uncertain differential equations are obtained by transformation, and the parameters of the first-order uncertain differential equation including Liu process are estimated. Based on the least squares estimation method, this paper proposes a means to minimize the residual sum of squares to obtain an estimate of the parameters in the drift term, and make the noise sum of squares equal to the residual sum of squares to obtain an estimate of the parameters in the diffusion term. In addition, some numerical examples are given to illustrate the proposed method. Finally, applications of the high-order uncertain spring vibration equations verify the viability of our method.
Keywords: Uncertainty theory, high-order uncertain differential equation, parameter estimation, least squares estimation
DOI: 10.3233/JIFS-202522
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 2, pp. 2755-2764, 2021
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