首页> 外文会议>International Conference on Control Systems and Computer Science(CSCS-15) vol.1; 20050525-27; Bucharest(RO) >IDENTIFICATION OF NONLINEAR PLANTS VIA DISTRIBUTIONS; APPLICATION FOR WASTEWATER BIODEGRADATION PROCESS
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IDENTIFICATION OF NONLINEAR PLANTS VIA DISTRIBUTIONS; APPLICATION FOR WASTEWATER BIODEGRADATION PROCESS

机译:通过分布识别非线性植物;废水生物降解工艺的应用

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The paper presents a procedure for continuous time nonlinear systems identification based on distribution theory. It is a functional type method, which transforms a differential system of equations to an algebraic system in unknown parameters. The identification problem is formulated as a condition of vanishing the existence relation of the system. Then, this relation is represented by functionals using techniques from distribution theory based on testing function from a finite dimensional fundamental space. Rational dependences between parameters and some measurable variables of the system are admitted. The main idea of this paper is to use a hierarchical structure of identification, which allows obtaining a linear algebraic system of equations in the unknown parameters. The coefficients of this algebraic system are functionals depending on the input and output variables evaluated through some testing functions from distribution theory. According to the proposed procedure, first, only some state equations are evaluated throughout testing functions to obtain a set of linear equations in some parameters. The results of this first stage of identification are utilized for expressing other parameters by linear equations. This process is repeated until all parameters are identified. An application for parameter identification of a waste water biodegradation process is presented. By some examples, the potential of the method is revealed.
机译:提出了一种基于分布理论的连续时间非线性系统辨识程序。这是一种函数类型方法,它将未知参数的微分方程组转换为代数系统。识别问题被表述为消除系统存在关系的条件。然后,使用基于有限维基本空间中的测试函数的分布理论技术,通过函数表示此关系。允许参数与系统的某些可测量变量之间的合理依赖。本文的主要思想是使用识别的层次结构,该结构允许获得未知参数中方程的线性代数系统。该代数系统的系数是函数,取决于通过分布理论的某些测试函数评估的输入和输出变量。根据提出的程序,首先,在整个测试函数中仅评估一些状态方程,以获得一些参数中的线性方程组。识别的第一阶段的结果用于通过线性方程式表达其他参数。重复此过程,直到识别出所有参数。提出了一种废水生物降解过程参数辨识的应用。通过一些例子,揭示了该方法的潜力。

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