Decentralized control of a variable air volume system
Bibliographic record
Abstract
Decentralized and partially decentralized control of a multizone variable air volume (VAV) system is studied. The VAV system consists of two environmental zones and an air distribution system. By assuming that the temperature of supply air is perfectly controlled and therefore remains constant, an eighth-order nonlinear model of the VAV system is developed. The control problem is to regulate the zone temperatures and air flow rates in response to step changes in cooling loads acting on the system. Decentralized controllers are designed by minimizing a quadratic performance index subject to constraints on the input energy and the eigenvalues of the slow and fast modes of the linearized model to preserve the two time scale property of the system. The designed controllers are implemented on the nonlinear system. The resulting closed-loop system responses show that good regulation of the zone temperatures can be achieved while maintaining sufficient air flow rates in the system with the designed decentralized controllers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".