Thermal comfort control via air conditioning system using fuzzy neural network feedback controller
Despite their complexity and uncertainty, air conditioning systems should provide the optimal thermal conditions in a building. These controller systems should be adaptable to changes in environmental parameters. In most air conditioning systems, today, there are On/Off controllers or PID in more ad...
Saved in:
Main Authors: | Mohamadi, Somaye A. (Author), J. Ahmed, Abdulraheem (Author) |
---|---|
Other Authors: | computer Engineering (Contributor) |
Format: | EJournal Article |
Published: |
Institute of Advanced Engineering and Science,
2020-08-01.
|
Subjects: | |
Online Access: | Get fulltext |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Indoor Thermal Comfort
Published: (2020) -
Controlling of jerk chaotic system via linear feedback control strategies
by: Adel Abed, Karam
Published: (2020) -
Adaptive Control for a Class of Non-affine Nonlinear Systems via Neural Networks
by: Zhao Tong
Published: (2009) -
Investigating Thermal Comfort for the Classroom Environment using IoT
by: Idura Ramli, Nurshahrily, et al.
Published: (2018) -
Adaptive Optics Feedback Control
by: Folcher, J.-P
Published: (2013)