Vladimir Lototsky

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A system identification method using predictive models based on the imitation of analyst’s associative thinking is developed. Identification algorithms using associative search for description of knowledge about control plant are presented. Wavelet analysis is applied for time-varying objects identification. Key-Words: identification algorithms, virtual(More)
The importance of the problem of power generating facility identification is justified against the background of interconnection of the European and Russian power grids. Intelligent control techniques for power generation facilities are presented. A methodology for estimating the dynamics of participation of the power grid generating facilities in the(More)
The paper offers identification algorithms enabling process parameters estimation under limited output samples and time-varying inputs. The algorithms are based on the associative search of analogs and wavelet-analysis of signals. The effectiveness of the techniques proposed is demonstrated with the example of product quality prediction in oil refining(More)
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