Parametric Estimation of Interconnected Nonlinear Systems Described by Input-output Mathematical Models

查看全文 作　　者：Mourad [1]Elloumi;Samira [1]Kamoun

机构地区：[1]Laboratory of Sciences and Techniques of Automatic Control & Computer Engineering,National Engineering School of Sfax (ENIS), University of Sfax, Tunisia B.P. 1173, 3038 Sfax, Tunisia

出　　处：《International Journal of Automation and computing》索引2016年第13卷第4期,共18页

基　　金：supported by the Ministry of Higher Education and Scientific Research of Tunisia 摘　　要：In this paper, two types of mathematical models are developed to describe the dynamics of large-scale nonlinear systems,which are composed of several interconnected nonlinear subsystems. Each subsystem can be described by an input-output nonlinear discrete-time mathematical model, with unknown, but constant or slowly time-varying parameters. Then, two recursive estimation methods are used to solve the parametric estimation problem for the considered class of the interconnected nonlinear systems. These methods are based on the recursive least squares techniques and the prediction error method. Convergence analysis is provided using the hyper-stability and positivity method and the differential equation approach. A numerical simulation example of the parametric estimation of a stochastic interconnected nonlinear hydraulic system is treated. 关键词：非线性系统数学模型参数估计输入输出关联模型描述递归最小二乘收敛性分析

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Parametric Estimation of Interconnected Nonlinear Systems Described by Input-output Mathematical Models

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