This paper focus on multilayer feedforward neural networks, the most popular and widely-used paradigms in many applications, including energy forecasting Precisely, it provides a multilayer perceptron (MLP) architectu...
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This paper focus on multilayer feedforward neural networks, the most popular and widely-used paradigms in many applications, including energy forecasting Precisely, it provides a multilayer perceptron (MLP) architecture, capable to forecast the DPcg (difference between the electricity produced and consumed) in relation with solar radiation, for shortterm horizon. The forecasting accuracy and precision, in capturing nonlinear interdependencies between the load and solar radiation of this structure is illustrated and discussed using a data based obtain from an experimental photovoltaic amphitheatre of minimum dimension 0.4kV/10kW.
The agent's decision mechanism should take into account only the events which can influence the agent's decision. That is way it is necessary to embed the event processing technology into multi-agent systems d...
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The agent's decision mechanism should take into account only the events which can influence the agent's decision. That is way it is necessary to embed the event processing technology into multi-agent systems decision mechanism. From the stimuli received by the agent, there are selected only the ones which can influence their behaviour and based on this information the complex event processing module gives as output complex events. These complex events result from a series of operations like grouping, aggregation, sorting, filtering, merging, splitting or duplication of events. To study the CEP performance embedded into multi-agent systems decision mechanism the method presented in this paper is applied in a traffic control application.
Software testing includes static testing and dynamic testing. The static testing needn't run the program to be tested. The static analysis belongs to static testing, whose purpose is to collect program's infor...
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Software changes are inevitable during the process of software evolution. To accommodate the changes in the software process, it is necessary to analyze the impacts of the changes. Software change impact analysis (CIA...
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This paper presents the communication related design considerations of Wireless Sensor Network (WSN) aided Multi-Robot Simultaneous Localization and Mapping (SLAM). In this approach, multiple robots perform WSN-aided ...
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This paper deals with a three-phase inverter controller design for monobloc configuration of small swirl turbine. The aim is an phasing of the system to grid. A simulation design is described which leads to cascade co...
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This paper deals with a three-phase inverter controller design for monobloc configuration of small swirl turbine. The aim is an phasing of the system to grid. A simulation design is described which leads to cascade controller with simple structure: lower loop is used for amplitude control and upper loop for phase control. First the highly nonlinear detailed three-phase inverter with switching components and diodes is modeled. Then based on RMS measurement a compensated LTI model is extracted which is used by H-infinity loop-shaping controller synthesis for both controllers design. Lastly design results are verified by simulations applying original three-phase inverter model taking into account high level of disturbances. Resulting system meets with reserve desired behaviour.
Electroencephalography is an important diagnostic tool for functional investigations of the human brain. Recent EEG measurement technologies provide high numbers of electrodes and sampling rates, which results in a co...
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Electroencephalography is an important diagnostic tool for functional investigations of the human brain. Recent EEG measurement technologies provide high numbers of electrodes and sampling rates, which results in a considerable quantity of data. For the analysis of this EEG data, efficient signal analysis and decomposition methods are essential. In this paper a new method for spatial harmonic analysis of EEG data using the Laplacian eigenspace of the meshed surface of electrode positions is presented. The resulting eigenspace enables the spatial harmonic analysis, filtering, denoising and decomposition of EEG data. For a proof of concept, the proposed approach is applied to an 128 channel EEG recording of visual evoked potentials. A set of harmonic spatial basis functions for the EEG electrode setup is estimated. The EEG data are spatially decomposed and low pass filtered using the harmonic spatial basis functions.
The present paper deals with control of system consists surge tank, pump a and pipeline. Model of this system is based on hydro-electrical analogy. For purpose of control it is designed a regulator with estimator. Reg...
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The present paper deals with control of system consists surge tank, pump a and pipeline. Model of this system is based on hydro-electrical analogy. For purpose of control it is designed a regulator with estimator. Regulator is developed by pole-placement method. Numerical solutions of this model are presented at the end of this article.
Abstract having a suitable model is one of the most important steps in active noise and vibration control systems. There are many applications in which the derived numerical model does not show the system behavior app...
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Abstract having a suitable model is one of the most important steps in active noise and vibration control systems. There are many applications in which the derived numerical model does not show the system behavior appropriately. In such cases, obtaining a model using system identification methods can play a special role. To this aim, in this paper the problem of identification of a flexible plate which is attached to upper side of an enclosure is addressed. The frequency response of the plate is measured between the two specific points and the data are applied to the several subspace-based frequency domain identification algorithms with and without Instrumental Variable method. Since the real system, by nature, is stable and the models identified in all cases are unstable, in the next step stabilization algorithm with different initial values is used to extract the stable part of the system. Finally, the qualities of the stabilized identified models are evaluated by calculating the RMS error between the measured and identified models.
In this paper an anti-slip predictive controller is designed and implemented in order to control the rear wheels of a V-PRA (Variable Powered Rear Axle) vehicle. The control algorithm is EPSAC, a Model based Predictiv...
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