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Foundations of Optimal Control Theory.
Abstract
Abstract : This complete and authoritative presentation of the current status of control theory offers a useful foundation for both study and research. With emphasis on general nonlinear differential systems, the book is carefully and systematically developed from elementary motivating examples, through the most comprehensive theory, to the final numerical solution of serious scientific and engineering control problems. The book features reviews of the most recent researches on processes described by partial differential equations, functional- differential, and delay-differential equations; the most recent treatment of impulse controllers, bounded rate controllers, feedback controllers, and bounded phase problems; and many unpublished new research results of the authors. In addition to an exhaustive treatment of the quantitative problems of optimal control, the qualitative concepts of stability, controllability, observability, and plant recognition receive a complete exposition. (Author)
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Cited by
Constrained model predictive control: Stability and optimality
Mayne, D. Q., Rawlings, J. B., Rao, C. V., & Scokaert, P. O. M. (2000) · Automatica · doi:10.1016/s0005-1098(99)00214-9 · Cited by 8,736
Constructive nonlinear control: a historical perspective
Kokotović, P., & Arcak, M. (2001) · Automatica · doi:10.1016/s0005-1098(01)00002-4 · Cited by 720
Non-intrusive reduced order modeling of nonlinear problems using neural networks
Hesthaven, J. S., & Ubbiali, S. (2018) · Journal of Computational Physics · doi:10.1016/j.jcp.2018.02.037 · Cited by 616
Ivanov, D., Dolgui, A., Sokolov, B., Werner, F., & Ivanova, M. (2016) · International Journal of Production Research · doi:10.1080/00207543.2014.999958 · Cited by 567
An Overview of Nonlinear Model Predictive Control Applications
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Metadata
- Authors
- Wishart, D. M. G., Lee, E. B., & Markus, L.
- Venue
- Journal of the Royal Statistical Society. Series A (General)
- Publisher
- JSTOR
- Published
- 1969
- Volume
- 132
- Issue
- 1
- Pages
- 110
- ISSN
- 0035-9238 (ISSN-L)
- OpenAlex
- W2796471654
- Cited by
- 1,862
- References
- 0
- FWCI
- 89.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wishart, D. M. G., Lee, E. B., & Markus, L. (1969). Foundations of Optimal Control Theory. Journal of the Royal Statistical Society. Series A (General). https://doi.org/10.2307/2343766
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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.
