Energy Optimal Control of Electromechanical Systems: Trade-off Demands

Brandstetter, P., and Dobrovsky, M. (2013). Speed Estimation of Induction Motor Using Model Reference Adaptive System with Kalman Filter. Advances in Electrical and Electronic Engineering, 11(1), 22–28. doi:10.15598/aeee.v11i1.802. Brandstetter P. Dobrovsky M. 2013 Speed Estimation of Induction Motor Using Model Reference Adaptive System with Kalman Filter Advances in Electrical and Electronic Engineering 11 1 22 28 10.15598/aeee.v11i1.802 Open DOISearch in Google Scholar

Chen, B., Gao, C., Zhang, L., Chen, J., Chen, J. and Li, Y. (2023). Optimal Control Algorithm for Subway Train Operation by Proximal Policy Optimization. Applied Science, 13, p. 7456. doi: 10.3390/app13137456 Chen B. Gao C. Zhang L. Chen J. Chen J. Li Y. 2023 Optimal Control Algorithm for Subway Train Operation by Proximal Policy Optimization Applied Science 13 7456 10.3390/app13137456 Open DOISearch in Google Scholar

Franke, R., Terwiesch, P. and Meyer, M. (2000). An Algorithm for the Optimal Control of the Driving of Train. Franke R. Terwiesch P. Meyer M. 2000 An Algorithm for the Optimal Control of the Driving of Train Search in Google Scholar

Ftorek, B., Saga, M., Orsansky, P., Vittek, J. and Butko, P. (2021). Energy Consumption Optimization for AC Drives Position Control. The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 40(3), pp. 309–324. doi: 10.1108/COMPEL-10-2019-0429 Ftorek B. Saga M. Orsansky P. Vittek J. Butko P. 2021 Energy Consumption Optimization for AC Drives Position Control The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 40 3 309 324 10.1108/COMPEL-10-2019-0429 Open DOISearch in Google Scholar

Heineken, W., Richter, M. and Birth-Reichert, T. (2023). Energy-Efficient Train Driving Based on Optimal Control Theory. Energies, 16(18), p. 6712. doi: 10.3390/en16186712 Heineken W. Richter M. Birth-Reichert T. 2023 Energy-Efficient Train Driving Based on Optimal Control Theory Energies 16 18 6712 10.3390/en16186712 Open DOISearch in Google Scholar

Howlett, P. (2000). The Optimal Control of a Train. Annals of Operations Research, 98, pp. 65–87. doi: 10.1023/A:1019235819716 Howlett P. 2000 The Optimal Control of a Train Annals of Operations Research 98 65 87 10.1023/A:1019235819716 Open DOISearch in Google Scholar

Ichikawa, K. (1968). Application of Optimization Theory for Bounded State Variable Problems to the Operation of Train. Bulletin of Japanese Mechanical Engineering, 11, pp. 857–865. doi: 10.1299/jsme1958.11.857 Ichikawa K. 1968 Application of Optimization Theory for Bounded State Variable Problems to the Operation of Train Bulletin of Japanese Mechanical Engineering 11 857 865 10.1299/jsme1958.11.857 Open DOISearch in Google Scholar

Novotny, D. W. and Lipo, T. A. (1996). Vector Control and Dynamics of AC Drives. Oxford: Clarendon Press. Novotny D. W. Lipo T. A. 1996 Vector Control and Dynamics of AC Drives Oxford Clarendon Press Search in Google Scholar

Orlowska-Kowalska, T. and Dybkowski, M. (2016). Industrial Drive Systems. Current State and Development Trends. Power Electronics and Drives, 36(1), pp. 5–25. doi: 10.5277/PED160101 Orlowska-Kowalska T. Dybkowski M. 2016 Industrial Drive Systems. Current State and Development Trends Power Electronics and Drives 36 1 5 25 10.5277/PED160101 Open DOISearch in Google Scholar

Perdukova, D., Fedor, P. and Timko, J. (2004). Modern Methods of Complex Drives Control. Acta Technica CSAV, 49(1), pp. 31–45. ISSN 0001-7043. Perdukova D. Fedor P. Timko J. 2004 Modern Methods of Complex Drives Control Acta Technica CSAV 49 1 31 45 ISSN 0001-7043. Search in Google Scholar

Ping, L. K., You, G. Z. and Hua, M. B. (2023). Energy Optimal Control Model for Train Movements. Chinese Physics, 16, p. 359. doi: 10.1088/1009-1963/16/2/015 Ping L. K. You G. Z. Hua M. B. 2023 Energy Optimal Control Model for Train Movements Chinese Physics 16 359 10.1088/1009-1963/16/2/015 Open DOISearch in Google Scholar

Pontryagin, L. S. (2018) Mathematical Theory of Optimal Processes. Routledge, Abingdon-on-Thames. doi: 10.1201/9780203749319. Pontryagin L. S. 2018 Mathematical Theory of Optimal Processes Routledge Abingdon-on-Thames 10.1201/9780203749319 Open DOISearch in Google Scholar

Su, S., Tang, T. and Wang, Y. (2016). Evaluation of Strategies to Reducing Traction Energy Consumption of Metro Systems Using an Optimal Train Control Simulation Model. Energies, 9(2), p. 105. doi: 10.3390/en9020105 Su S. Tang T. Wang Y. 2016 Evaluation of Strategies to Reducing Traction Energy Consumption of Metro Systems Using an Optimal Train Control Simulation Model Energies 9 2 105 10.3390/en9020105 Open DOISearch in Google Scholar

Tolle, H. (1975). Optimization Methods. Berlin: Springer-Verlag. Tolle H. 1975 Optimization Methods Berlin Springer-Verlag Search in Google Scholar

Vittek, J., Butko, P., Ftorek, B., Makyš, P. and Gorel, L. (2017a). Energy Near-Optimal Control Strategies for Industrial and Traction Drives with A.C. Motors. Mathematical Problems in Engineering, 2017, pp. 1–22. doi: 10.1155/2017/1857186 Vittek J. Butko P. Ftorek B. Makyš P. Gorel L. 2017a Energy Near-Optimal Control Strategies for Industrial and Traction Drives with A.C. Motors Mathematical Problems in Engineering 2017 1 22 10.1155/2017/1857186 Open DOISearch in Google Scholar

Vittek, J., Gorel, L., Vavrúš, V. and Struharňanský, L. (2017b). Position Tracking Systems for AC Drives Employing Forced Dynamics Control. Power Electronics and Drives, 37(2), pp. 89–103. doi: 10.5277/PED170110 Vittek J. Gorel L. Vavrúš V. Struharňanský L. 2017b Position Tracking Systems for AC Drives Employing Forced Dynamics Control Power Electronics and Drives 37 2 89 103 10.5277/PED170110 Open DOISearch in Google Scholar