PARAMETRIC IDENTIFICATION OF LINEAR DYNAMIC NEIGHBORHOOD MODELS WITH VARIABLE NEIGHBORHOODS
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Creator Sedykh Irina Aleksandrovna, Anatoly Mikhailovich Shmyrin
Title PARAMETRIC IDENTIFICATION OF LINEAR DYNAMIC NEIGHBORHOOD MODELS WITH VARIABLE NEIGHBORHOODS
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Publisher TuEngr Group
Publication Year 2562
Journal Title International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
Journal Vol. 10
Journal No. 17
Page no. 10A17A: 1-7
Keyword Dynamic neighborhood models, Variable neighborhoods, Linear models, Parametric identification, Identification criteria, Pseudo-inverse matrix.
URL Website http://tuengr.com/Vol10_17.html
Website title ITJEMAST V10(17) 2019 @ TuEngr.com
ISSN 2228-9860
Abstract The paper presents the definition of the dynamic input-state neighborhood model, the structure of which is determined by the set of nodes and the neighborhood links between model nodes according to control actions and states. The dynamic neighborhood model functions in discrete time. The states of each node in the next point in time depend on the control actions and the states of adjacent nodes and change under the influence of the state recalculation function. The paper considers a neighborhood model with variable neighborhoods, which is distinguished by dynamic links between the nodes of the system, changing at each discrete point in time of its operation. In this model, the entire set of neighborhood links is divided into intersecting subsets that form layers. For dynamic neighborhood models, the problem of parametric identification is given, the identification criterion is shown. The method is considered and the block diagram of the solution of the parametric identification problem for linear neighborhood models in matrix form is given.
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