The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Large-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization
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Citations
Cites
Wächter, A., & Biegler, L. T. (2006) · Mathematical Programming · doi:10.1007/s10107-004-0559-y · Cited by 9,483
Self-citationPractical Methods for Optimal Control using Nonlinear Programming
Betts, & Kolmanovsky (2002) · Applied Mechanics Reviews · doi:10.1115/1.1483351 · Cited by 1,443
Camacho, E. F., & Bordons, C. (2007) · Advanced Textbooks in Control and Signal Processing · doi:10.1007/978-0-85729-398-5 · Cited by 1,391
Introduction to Sensitivity and Stability Analysis in Nonlinear Programming
(1983) · Mathematics in Science and Engineering/Mathematics in science and engineering · doi:10.1016/s0076-5392(08)x6041-2 · Cited by 1,074
Rao, C. V., Rawlings, J. B., & Mayne, D. Q. (2003) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2002.808470 · Cited by 894
Feedback control for optimal process operation
Engell, S. (2007) · Journal of Process Control · doi:10.1016/j.jprocont.2006.10.011 · Cited by 529
Critical Evaluation of Extended Kalman Filtering and Moving-Horizon Estimation
Haseltine, E. L., & Rawlings, J. B. (2005) · Industrial & Engineering Chemistry Research · doi:10.1021/ie034308l · Cited by 500
An Overview of Nonlinear Model Predictive Control Applications
Qin, S. J., & Badgwell, T. A. (2000) · Nonlinear Model Predictive Control · doi:10.1007/978-3-0348-8407-5_21 · Cited by 458
Runge-Kutta methods in optimal control and the transformed adjoint system
Hager, W. W. (2000) · Numerische Mathematik · doi:10.1007/s002110000178 · Cited by 433
Advances in simultaneous strategies for dynamic process optimization
Biegler, L. T., Cervantes, A. M., & Wächter, A. (2002) · Chemical Engineering Science · doi:10.1016/s0009-2509(01)00376-1 · Cited by 428
Self-citation
Cited by
Predictive Control for Linear and Hybrid Systems
Borrelli, F., Bemporad, A., & Morari, M. (2017) · Cambridge University Press eBooks · doi:10.1017/9781139061759 · Cited by 1,443
Efficient methanol synthesis: Perspectives, technologies and optimization strategies
Bozzano, G., & Manenti, F. (2016) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2016.06.001 · Cited by 580
An Introduction to Trajectory Optimization: How to Do Your Own Direct Collocation
Kelly, M. (2017) · SIAM Review · doi:10.1137/16m1062569 · Cited by 561
Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
Zeng, J., Zhang, B., & Sreenath, K. (2021) · 2021 American Control Conference (ACC) · doi:10.23919/acc50511.2021.9483029 · Cited by 390
Cox, S. J., Kim, D., Cho, H., & Mago, P. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.01.093 · Cited by 157
Metadata
- Authors
- Biegler, L. T., & Zavala, V. M.
- Venue
- Computers & Chemical Engineering
- Publisher
- Elsevier BV
- Published
- 2009-03
- Volume
- 33
- Issue
- 3
- Pages
- 575-582
- ISSN
- 0098-1354 (ISSN-L)
- OpenAlex
- W2004805052
- Cited by
- 638
- References
- 17
- FWCI
- 20.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Large-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization. https://app.cochat.ai/papers/10.1016/j.compchemeng.2008.08.006
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- Biegler, L. T., & Zavala, V. M. (2009). Large-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization. Computers & Chemical Engineering. https://doi.org/10.1016/j.compchemeng.2008.08.006
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.
