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An error-driven adaptive model-based control system, for optimizing machine or assembly plant performance and operation under normal and fault conditions, is proposed. In such complex system it is imperative to differentiate between a system failure and a sensor failure or between process noise and measurement noise. In this paper, we present a comprehensive approach based on a hierarchical, multilevel...
Very often important process variables cannot be measured online due to low sampling rate of sensors or because their values have to be obtained by laboratory analysis. In order to enable continuous process monitoring and efficient process control in such cases, soft sensors are usually used to estimate these difficult-to-measure process variables. Most industrial processes exhibit some kind of time-varying...
We address the problem of moving object detection in aerial video. Moving object detection in aerial video is still a challenging problem for the reason that when capturing the video the camera (or the platform) is moving all the time. As a result, the problem is detecting moving object from moving background which is much more difficult than the case that the background is constant. To this end,...
In this paper, two well-known algorithms: ARIMA and TDNN (Time Delay Neural Network) are applied to conduct the short term prediction of solar radiation. For the daily solar radiation series is non-stable due to the fast weather changing, monthly average solar radiation is adopted as the data source. As ARIMA model requires the time series to be stationary, first order difference is performed on the...
In this study, it is aimed to model a dcmotor which will be able to achieve panelmovement in solar panels and realize positioncontrol using artificial neural networks method inLaview. Position control of DC motors is possiblewith position sensors integrated to motors orexternal position sensors. The most popular ofthese sensors are encoder and transducer. Withinthis study, by using the LabView program...
Problem statement for a renewable power system test site located at Nazarbayev University is formulated with consideration of a presence of uncertain disturbances from consumer grid side. Proposed controller is based on the method of additional equilibria. For adjusting of parameters of controller and control plant the genetic algorithm is proposed. Results of MATLAB simulation of designed control...
Convolutional neural network models have covered a broad scope of computer vision applications, achieving competitive performance with minimal domain knowledge. In this work, we apply such a model to a task designed to deter automated systems. We trained a convolutional neural network to distinguish between images of human faces from computer generated avatars as part of the ICMLA 2012 Face Recognition...
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