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Optimization Algorithms of Objective Control of Technical Objects
Author(s) -
Genady Burov
Publication year - 2015
Publication title -
boundary field problems and computer simulation
Language(s) - English
Resource type - Journals
eISSN - 2255-9132
pISSN - 2255-9124
DOI - 10.7250/bfpcs.2014.006
Subject(s) - computer science , realization (probability) , algorithm , process (computing) , stability (learning theory) , identification (biology) , autoregressive model , object (grammar) , mathematical model , decomposition , mathematical optimization , artificial intelligence , machine learning , mathematics , ecology , statistics , botany , econometrics , biology , operating system
During the process of design, industrial production and operation of technical objects significant amount of information is accumulated. It can be used for the development of mathematical algorithms and programs for realization of automated computer control of technical objects. Because of the complexities in mathematical formalization of the aprioristic information difficulties arise, which do not always allow using it actively in mathematical models for the estimation of parameters obtained at separate stages of processing of the numerical information about measured transients. As the formed mathematical models are based on the theory of technical object identification, there is dependence of the computing stability of algorithms. Therefore, it is necessary to use equation systems with reasonably low orders. Such objective can be achieved due to the application of filtration of decomposition of autoregressive function. The algorithm of the objective control of technical objects is offered in the form of an algorithm by using the theory of pattern recognition. The recognition models as part of control algorithm may be built on the base of Fourier model. This results in efficiency of algorithms especially in test procedures.

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