@inproceedings{dc6bb86fdfb44f5dbb0f8b541a4c6e82,
title = "Application of T-S fuzzy controllers on an HVAC system",
abstract = "This paper focuses on designing fuzzy controllers for a kind of Heating, Ventilation, and Air Conditioning (HVAC) systems. A kind of fuzzy method based on T-S fuzzy models with nonlinear local feedbacks is applied to a specific HVAC system. Firstly, an augmented HVAC system model is got based on an existing model. Then control with T-S fuzzy systems with nonlinear local models is reviewed. The control gain is got by solving a set of linear matrix inequalities (LMIs) where H∞ performance is considered. Finally, simulations and comparisons are executed to illustrate the effectiveness of this kind of fuzzy methods.",
keywords = "Fuzzy control, H control, HVAC systems, T-S fuzzy models",
author = "Long Teng and Youyi Wang and Can Chen and Wenjian Cai and Hua Li",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 7th International Conference on Information and Automation for Sustainability, ICIAfS 2014 ; Conference date: 22-12-2014 Through 24-12-2014",
year = "2014",
month = mar,
day = "26",
doi = "10.1109/ICIAFS.2014.7069545",
language = "English",
series = "2014 7th International Conference on Information and Automation for Sustainability: {"}Sharpening the Future with Sustainable Technology{"}, ICIAfS 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "2014 7th International Conference on Information and Automation for Sustainability",
}
