Open AccessIdentification method based on Zadeh filter models
Author(s) -
I. V. Evdokimov,
Roman Tsarev,
T. N. Yamskikh,
Alexey Knyazkov,
I. A. Moor,
Д. В. Капулин
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/560/1/012016
Subject(s) - nonlinear system , identification (biology) , filter (signal processing) , computer science , class (philosophy) , process (computing) , signal (programming language) , digital filter , automation , harmonic , algorithm , mathematics , artificial intelligence , engineering , computer vision , mechanical engineering , botany , physics , quantum mechanics , biology , programming language , operating system
Mathematical modeling which provides the description of objects and proper organization of control operations in future is an integral stage in the automation of production. One of the approaches to build a mathematical model of an object is to represent nonlinear systems as combinations of inertial and nonlinear inertialess elements. The models thus obtained are called block-oriented. In this paper, we consider nonlinear dynamic objects represented as the models of the Zadeh filter class. In the process of the method development the identification equations were derived for the case when the test signal is a single sinusoid. Then the case of two sinusoids was considered. Such investigations allowed us to identify the patterns and describe the general case for several test components in the signal. The results of digital modeling using the sum of harmonic signals confirm the feasibility and validity of the proposed approach for identifying nonlinear models of the Zadeh filter class.