LINEAR RECURRENCE RELATONS AND ORDINARY GENERATING FUNCTIONS APPLIED ON MODELING PROCESSES IN CONTROL THEORY

Branislav Ranđelović, Sasa Nikolic, Aleksandra Milovanović, Ivana D. Ilić
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Abstract

In this paper we apply multistep recurrence relations, as one of very simple and useful mathematical models. It is an efficient tool for solving many problems in mathematics, science, and technics. We also use generating functions, as a connection between real number sequences and real functions, and as a very smooth and efficient connection between the discrete mathematics and (continual) mathematical analysis. We present an application of multistep homogenous linear recurrence relations for modelling some processes in the control theory. Further on, we use the ordinary generating function aiming to find appropriate formulae for calculating members of an appropriate recurrence sequence. Finally, we show the application of this novel mathematical approach on one real example in the control theory.
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线性递归关系和普通生成函数在控制理论过程建模中的应用
多步递归关系是一种非常简单实用的数学模型。它是解决许多数学、科学和技术问题的有效工具。我们还使用生成函数,作为实数序列和实数函数之间的连接,以及作为离散数学和(连续)数学分析之间的非常平滑和有效的连接。本文讨论了控制理论中多步齐次线性递归关系在某些过程建模中的应用。进一步,我们使用普通的生成函数,旨在找到合适的公式来计算一个合适的递归序列的成员。最后,给出了该方法在控制理论中的应用实例。
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APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS FOR ROAD TYPE CLASSIFICATION LINEAR RECURRENCE RELATONS AND ORDINARY GENERATING FUNCTIONS APPLIED ON MODELING PROCESSES IN CONTROL THEORY PERFORMANCE ANALYSIS OF MRC-SC MACRODIVERSITY RECEPTION OVER GENERALIZED FADING CHANNELS NOVEL EXPONENTIAL TYPE APPROXIMATIONS OF THE Q-FUNCTION ONE-BIT QUANTIZER PARAMETRIZATION FOR ARBITRARY LAPLACIAN SOURCES
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