Author:
Ekaterina Sakrutina
Affiliation:
V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Science, 65 Profsoyuznaya, Moscow 117997 and Russia
Keyword(s):
Prediction Model, Multi-scale Wavelet Transform, Stability Conditions, Conditionless Prediction.
Related
Ontology
Subjects/Areas/Topics:
Adaptive Signal Processing and Control
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
;
System Identification
;
System Modeling
Abstract:
Prediction models found a wide application in advanced control systems, intelligent systems of information decision support, play a significant role in any activity concerned with signal processing procedures, involving detecting failures of different technological processes. Methods based on the wavelet analysis are characterized by a unique ability of detailed frequency analysis in the time. The paper presents stability conditions of a prediction model, which are developed on the basis of the multi-scale wavelet transform, as well an example of the prediction model applied in the oil refining process.