Name
Abstract | ||
|---|---|---|
Catered control strategies for building HVAC systems, which react to the changing location of an occupant of the building, are studied. A structured Markov Jump-Linear System (MJLS) model is developed which captures the diffusive heat-exchange process in the building, stochastic occupant movement, and feedback control enacted by the HVAC system. A statistical analysis of the closed-loop dynamics is undertaken, and used to evaluate stability and control performance. The tuning of simple proportional-integral-derivative control schemes to optimize comfort is also discussed, and demonstrated in an example. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/tcst.2019.2936804 | IEEE Global Conference on Signal and Information Processing |
Field | DocType | ISSN |
Computer science,Markov chain,HVAC,Internet of Things,Control engineering,Statistical analysis | Conference | 2376-4066 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amirkhosro Vosughi | 1 | 15 | 1.91 |
| Mengran Xue | 2 | 61 | 13.36 |
| Sandip Roy | 3 | 301 | 53.03 |