Pseudospectral optimal train control
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DOI: 10.1016/j.ejor.2020.10.018
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Cited by:
- Dimitris Kouzoupis & Ishan Pendharkar & Francesco Corman, 2023. "TTOBench—an Open-Source Library for Train Trajectory Optimization," SN Operations Research Forum, Springer, vol. 4(4), pages 1-16, December.
- Gabriel Popa & Constantin Udriste & Ionel Tevy, 2021. "Train Bi-Control Problem on Riemannian Setting," Mathematics, MDPI, vol. 9(22), pages 1-12, November.
- Constantin Udriste & Ionel Tevy & Paun Antonescu, 2023. "Optimal Control Problem for Minimization of Net Energy Consumption at Metro," Mathematics, MDPI, vol. 11(4), pages 1-11, February.
- Lian, Deheng & Mo, Pengli & D’Ariano, Andrea & Gao, Ziyou & Yang, Lixing, 2024. "Energy-saving time allocation strategy with uncertain dwell times in urban rail transit: Two-stage stochastic model and nested dynamic programming framework," European Journal of Operational Research, Elsevier, vol. 317(1), pages 219-242.
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Keywords
Optimal train control; Train trajectory optimization; Pontryagin’s Maximum Principle; Pseudospectral method; Singular solution;All these keywords.
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