Bibliographic record
Abstract
1.Atherton, D. P., Nonlinear control engineering, Van Nostrand Rienhold, London, 1975. 2.Balasubramanian, R., “Limit cycles in systems with single and multiple relays”, In Proc. JACC, San Francisco, FP9-D, 1980. 3.Burnham, K. J., Dunoyer, A., Hibberd, D. F., and Minihan, J. A., “A bilinear controller with PID structure”, Proceeding of the American Control Conference, vol 6, pp. 4363-4367, 1999. 4.Burnham, K. J., Dunoyer, A., and Marcroft, S.,“Bilinear controller with PID structure”, Computing & Control Engineering Journal, vol. 10, pp. 63-69, 1999. 5.Callier, F. M., and Desor, C. A., Linear system theory, Springer-Verlag, New York, 1991. 6.Chen, S. S., Chen, W. H., and Lam, K. S., Lectures on differential geometry, World Scientific, Singapore, 1999. 7.Desoer, C. A., and Vidyasagar, M., Feedback systems：input-output properties, Academic Press, New York, 1975. 8.Kinsey, L. C., Topology of surfaces, Springer-Verlag, New York, 1993. 9.Kuo, B. C., Automatic control systems, Prentice-Hall, Englewood Cliffs, 1995. 10.Mohler, R. R., Bilinear control process, Academic Press, New York, 1973. 11.Oprea, J., Differential geometry and its applications, Prentice Hall, New Jersey, 1991. 12.Palmor, Z. J., “A general and exact method for determining limit cycles in decentralized relay system”, Automatica, vol. 31, pp. 1333-1339, 1995. 13.Rugh, W. J., Linear system theorem, Prentice-Hall, Englewood Cliffs, 1993. 14.Schei, T. S., “A method for close loop automatic tuning of PID controllers”, Automatica, vol. 28, pp. 587-591, 1992. 15.Shinners, S. M., Advanced modern control system theorey and design, Wiley, Canada, 1998. 16.Singer, I. M., and Thorpe, J. A., Lecture notes on elementary topology and geometry, Spring-Verlag, New York, 1967. 17.Slotine, J-J. E., and Li, W., Applied nonlinear control, Prentice-Hall, New York, 1981. 18.Sun, Y. J.,“Prediction of limit cycles in feedback bilinear systems:Lyapunov-like approach”, Proceeding of 2002 National Symposium on Automatic Control, pp. 801-805, 2002. 19.Vidyasagar, M., Nonlinear systems analysis, Prentice-Hall, Englewood Cliffs, 1993. 20.Weinmann, A., Uncertain models and robust control, Springer-Verlag, New York, 1991. 21.Zill, D. G., and Cullen, M. R., Differential equations with boundary-value problem, Brooks/Cole, Singapore, 1997.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".