The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A convergent iterative restricted complexity control design scheme
Abstract
In this contribution we propose an optimization approach to the design of a restricted complexity controller. The design criterion is of LQG type containing two terms. The first term is the quadratic norm of the error between the output of the true closed loop and a desired response. The second term is the quadratic norm of the input signal. It is shown that the minimization of this criterion does not require a model of the system. Closed loop experimental data can be used instead. The result is an iterative scheme of closed loop experiments and controller updates which converges to a local minimum of the design criterion under the condition of bounded signals.>
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Cites
A Stochastic Approximation Method
Robbins, H., & Monro, S. (1951) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729586 · Cited by 9,643
Cited by
Virtual reference feedback tuning: a direct method for the design of feedback controllers
Campi, M. C., Lecchini, A., & Savaresi, S. M. (2002) · Automatica · doi:10.1016/s0005-1098(02)00032-8 · Cited by 1,110
Closed-loop issues in system identification
Van den Hof, P. (1998) · Annual Reviews in Control · doi:10.1016/s1367-5788(98)00016-9 · Cited by 269
Wang, X., Karimi, H. R., Shen, M., Liu, D., Li, L.-W., & Shi, J. (2022) · Neural Networks · doi:10.1016/j.neunet.2022.09.021 · Cited by 31
Metadata
- Authors
- Hjalmarsson, H., Gunnarsson, S., & Gevers, M.
- Venue
- Proceedings of 1994 33rd IEEE Conference on Decision and Control
- Publisher
- IEEE
- Published
- 2002-12-17
- Volume
- 2
- Pages
- 1735-1740
- ISSN
- 0191-2216 (ISSN-L)
- OpenAlex
- W1612640671
- Cited by
- 320
- References
- 1
- FWCI
- 22.82
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Hjalmarsson, H., Gunnarsson, S., & Gevers, M. (2002). A convergent iterative restricted complexity control design scheme. Proceedings of 1994 33rd IEEE Conference on Decision and Control. https://doi.org/10.1109/cdc.1994.411185
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