2013
DOI: 10.4028/www.scientific.net/amm.367.312
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Numerical Method of Control Object Identification and Models Robustness Property Maintenance

Abstract: In this paper the Real Interpolation Method is offered for the solution of systems Identification problem. The Real Interpolation Method allows to create a sufficiently cost-effective algorithmic basis and to solve all complex of Identification problems. It is based on use of a special case of the Laplace transformation, when the complex variable s =δ + jω is degenerated to real value δ.

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Cited by 5 publications
(3 citation statements)
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“…To solve the problem has developed a method descriptions dynamic systems, results-oriented on digital computing and numerical methods of action over such descriptions. This method, called the real interpolation method (RIM), allowed more than halve amount of computational operations [5,6]. Such advantage allowed to create of the compact mobile device which has made possible automated configuring regulators.…”
Section: Creation Instrumental Tool For Configuring Regulatorsmentioning
confidence: 99%
“…To solve the problem has developed a method descriptions dynamic systems, results-oriented on digital computing and numerical methods of action over such descriptions. This method, called the real interpolation method (RIM), allowed more than halve amount of computational operations [5,6]. Such advantage allowed to create of the compact mobile device which has made possible automated configuring regulators.…”
Section: Creation Instrumental Tool For Configuring Regulatorsmentioning
confidence: 99%
“…At the Tomsk polytechnic university a mobile identification device is developed. Its algorithmic component is based on the real interpolation method (RIM), which allowed a decreasing of computational operations in more than halve [6]. The identification device can solve the problem of mobile identification and the automatic control systems tuning.…”
Section: Introductionmentioning
confidence: 99%
“…A search for other nodes starts with the last node v η . There are recommendations for the nodes selection in [7], which provide an easy way to find the values. The rest of the nodes can be found using a condition of a uniform grid.…”
mentioning
confidence: 99%