The DOI matches its Crossref record.
Practical Methods for Optimal Control and Estimation Using Nonlinear Programming
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Citations
Cited by
Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation
Zhang, T., McCarthy, Z., Jow, O., Lee, D., Chen, X., Goldberg, K., & Abbeel, P. (2018) · 2018 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2018.8461249 · Cited by 609
An Introduction to Trajectory Optimization: How to Do Your Own Direct Collocation
Kelly, M. (2017) · SIAM Review · doi:10.1137/16m1062569 · Cited by 561
Deep predictive policy training using reinforcement learning
Ghadirzadeh, A., Maki, A., Kragic, D., & Bjorkman, M. (2017) · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2017.8206046 · Cited by 113
Patil, S., Kahn, G., Laskey, M., Schulman, J., Goldberg, K., & Abbeel, P. (2015) · Springer Tracts in Advanced Robotics · doi:10.1007/978-3-319-16595-0_30 · Cited by 72
Sarno, S., Guo, J., D'Errico, M., & Gill, E. (2020) · Advances in Space Research · doi:10.1016/j.asr.2020.01.033 · Cited by 43
Metadata
- Authors
- Betts, J. T.
- Venue
- Society for Industrial and Applied Mathematics eBooks
- Published
- 2010-01-01
- OpenAlex
- W2221321873
- Cited by
- 1,567
- References
- 0
- FWCI
- 24.19
- 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.
Statistics and arithmetic are recomputed, not judged.
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How to cite
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- CoChat. (2026). Citation check: Practical Methods for Optimal Control and Estimation Using Nonlinear Programming. https://app.cochat.ai/papers/10.1137/1.9780898718577
- The paper
- Betts, J. T. (2010). Practical Methods for Optimal Control and Estimation Using Nonlinear Programming. Society for Industrial and Applied Mathematics eBooks. https://doi.org/10.1137/1.9780898718577
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.
