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The Vector Autoregressive Moving Average Models as a Tool for Adaptive Identification of Structures Dynamic Systems

Leitner B., Kopas P.

Machine Dynamics Research

2010

Vol. 34, No. 4

32-41

The paper deals with one of possible ways of an identification of stochastically loaded mechanically structures. The purpose of this approach is to find an algorithm of a forecasting control of their working in real working conditions. It deals with a proposal of an application of vector time series moving average models (VARMA). Their parameters are possible to determine using the nonlinear modification of the least squares method. The paper contains a theoretical principle of problems solved and a description of a real testing methodise.