@inproceedings{c9612fdd5a1c41208e88750519d7b477,
title = "Fuzzy-neural model predictive control of a building heating system",
abstract = "This paper describes the development of a Model Predictive Controller with supervision control of a building heating system. A fuzzy-neural model and optimizing procedure as a part of a nonlinear predictive controller are utilized on-line to determine the future values of control actions based on dependence between outdoor and indoor temperatures. A learning algorithm for parameters in fuzzy-neural implementation of the predictive model is additionally applied. Simulation results with a model of a single room heating system demonstrate that a better system performance can be achieved in comparison to classical PID control.",
keywords = "Fuzzy control, Heating systems, Predictive control",
author = "Margarita Terziyska and Yancho Todorov and Michail Petrov",
year = "2006",
month = dec,
day = "1",
doi = "10.3182/20061002-4-BG-4905.00012",
language = "English",
isbn = "978-3-902661-19-7",
series = "IFAC Proceedings Volumes",
publisher = "Elsevier",
number = "19",
pages = "69--74",
booktitle = "1st IFAC Workshop on Energy Saving Control in Plants and Buildings",
address = "Netherlands",
note = "International IFAC Workshop on Energy Saving Control in Plants and Buildings, ESC 2006 ; Conference date: 02-10-2006 Through 05-10-2006",
}