Peter Eredics

Peter Eredics
Budapest University of Technology and Economics · Department of Measurement and Information Systems

About

10
Publications
626
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43
Citations

Publications

Publications (10)
Conference Paper
A wide variety of greenhouse temperature models have been proposed in the literature in the previous years. This paper proposes a hybrid modeling method incorporating a multilayer perceptron neural network and a radial basis function neural network aimed to be more accurate on input regions not covered by training data. The results show that the pr...
Conference Paper
Thermal modeling of greenhouses is an active research topic, aiming to provide high precision forecasting models needed for efficient greenhouse control solutions. Unfortunately identifying the best model structure based on measurements from a real greenhouse is not always feasible. This paper presents the design and implementation of a small-scale...
Conference Paper
Full-text available
Modern greenhouse control solutions usually rely on temperature measurements collected in the greenhouse with high spatial resolution. The most important measurement locations are the close vicinity of the plants, namely on the plant supporting desks. Large number of desk sensors can ensure high spatial resolution, but increased volume of low-cost...
Article
The effectiveness of greenhouse control can be improved by the appli-cation of model based intelligent control. Such control requires a good model of the greenhouse. For a large variety of industrial or recreational greenhouses the derivation of an analytical model is not feasible therefore black-box modeling has to be applied. Identification of bl...
Article
Full-text available
The effectiveness of greenhouse control can be raised by the application of model based intelligent control. The large complexity of the thermal system in the greenhouse calls for a decomposed model. The key element of such model decomposition is the global greenhouse model creating predictions for all important parts of the greenhouse. A Cerebella...
Conference Paper
Full-text available
The effectiveness of greenhouse control can be improved by the application of model based intelligent control. However for this a good model of a greenhouse is needed. For a large variety of industrial or recreational greenhouses the derivation of a fully blown analytical model is not feasible and simplified models serve no practical purpose. Thus...
Conference Paper
Full-text available
High quality greenhouse control requires accurate modeling of the greenhouse as a thermal system along with all the influences affecting it. A decomposed model is the only way to tackle the complexity of such a system. A very important module of the decomposition is the heating system, due to its high impact on the overall financial cost of the gre...
Conference Paper
Full-text available
The quality of control provided by greenhouse control systems can be improved by applying model based and intelligent control. To this aim a good model of a greenhouse is needed. For a large variety of industrial or recreational greenhouses the derivation of an analytical model is not feasible, due to the large amount of identification data and exp...
Conference Paper
Full-text available
Climate control for intelligent greenhouses is currently an active field of research. Model based intelligent greenhouse control systems seem to increase the control performance over traditional solutions. In this paper the control intelligence means the preferably minimal maintenance (heating) cost, within the climatic conditions required to grow...
Article
Full-text available
The paper describes the design of an environment monitoring system supporting the development of black-box model based greenhouse climate control. Despite many currently available control schemes, only black-box modelling can be carried out efficiently for small or medium size greenhouses. For this large amount of measurements is needed, calling fo...

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