@inproceedings{618ed055e7ba4fc9b32f58d0b38c194a,
title = "Adaptive supervisory tuning of nonlinear model predictive controller for a heat exchanger",
abstract = "It is presented in this paper an adaptive predictive supervisory algorithm to the temperature control of a heating system with a heat exchanger. The nonlinear predictive control strategy is designed on the basis of a Takagi-Sugeno fuzzy-neural model and a simple optimization procedure. An additional supervisory level in the control system is introduced for adaptive tuning of a weighting factor in the predefined optimization criterion. Using the proposed algorithm a higher system performance can be achieved which leads to reduction of the energy consumption into the heating system. The proposed approach is studied by experimental simulations to control a temperature in the heating system.",
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-4905.00016",
language = "English",
isbn = "978-3-902661-19-7",
series = "IFAC Proceedings Volumes",
publisher = "Elsevier",
number = "19",
pages = "93--98",
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",
}
