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Neural Networks for Modelling and Control of Dynamic Systems
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Citations
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
A Microgrid Energy Management System Based on the Rolling Horizon Strategy
Palma-Behnke, R., Benavides, C., Lanas, F., Severino, B., Reyes, L., Llanos, J., & Sáez, D. (2013) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2231440 · Cited by 771
Long-term time series prediction with the NARX network: An empirical evaluation
Menezes, J. M. P., & Barreto, G. A. (2008) · Neurocomputing · doi:10.1016/j.neucom.2008.01.030 · Cited by 446
Digital Business Strategy and Value Creation: Framing the Dynamic Cycle of Control Points1
Pagani, M. (2013) · MIS Quarterly · doi:10.25300/misq/2013/37.2.13 · Cited by 411
An introduction to the use of neural networks in control systems
Hagan, M. T., Demuth, H. B., & Jesús, O. D. (2002) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.727 · Cited by 329
Metadata
- Authors
- Nørgaard, M., Ravn, O., Poulsen, N. K., & Hansen, L. K.
- Venue
- Advanced Textbooks in Control and Signal Processing
- Publisher
- Springer London
- Published
- 2000
- ISSN
- 1439-2232 (ISSN-L)
- OpenAlex
- W1535260033
- Cited by
- 1,006
- References
- 0
- FWCI
- 5.27
- Type
- book
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
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- This page
- CoChat. (2026). Citation check: Neural Networks for Modelling and Control of Dynamic Systems. https://app.cochat.ai/papers/10.1007/978-1-4471-0453-7
- The paper
- Nørgaard, M., Ravn, O., Poulsen, N. K., & Hansen, L. K. (2000). Neural Networks for Modelling and Control of Dynamic Systems. Advanced Textbooks in Control and Signal Processing. https://doi.org/10.1007/978-1-4471-0453-7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
