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Journal articles on the topic 'Optimal control system'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

James, M. R. "Optimal Quantum Control Theory." Annual Review of Control, Robotics, and Autonomous Systems 4, no. 1 (2021): 343–67. http://dx.doi.org/10.1146/annurev-control-061520-010444.

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This article explains some fundamental ideas concerning the optimal control of quantum systems through the study of a relatively simple two-level system coupled to optical fields. The model for this system includes both continuous and impulsive dynamics. Topics covered include open- and closed-loop control, impulsive control, open-loop optimal control, quantum filtering, and measurement feedback optimal control.

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2

Goncharenko, Borys, Larysa Vikhrova, and Mariia Miroshnichenko. "Optimal control of nonlinear stationary systems at infinite control time." Central Ukrainian Scientific Bulletin. Technical Sciences, no. 4(35) (2021): 88–93. http://dx.doi.org/10.32515/2664-262x.2021.4(35).88-93.

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The article presents a solution to the problem of control synthesis for dynamical systems described by linear differential equations that function in accordance with the integral-quadratic quality criterion under uncertainty. External perturbations, errors and initial conditions belong to a certain set of uncertainties. Therefore, the problem of finding the optimal control in the form of feedback on the output of the object is presented in the form of a minimum problem of optimal control under uncertainty. The problem of finding the optimal control and initial state, which maximizes the qualit

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3

Shedrack Massawe, Estomih. "Optimal Control and Hamiltonian System." Pure and Applied Mathematics Journal 5, no. 3 (2016): 77. http://dx.doi.org/10.11648/j.pamj.20160503.13.

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4

Bulinskaya, E. V. "System stability and optimal control." Journal of Mathematical Sciences 92, no. 3 (1998): 3857–72. http://dx.doi.org/10.1007/bf02432356.

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5

Wada, Kenzo, Juniti Hamada, Hirohiko Nakamura, Hiroshi Ito, Atushi Miwa, and Eiji Morimoto. "Optimal Control of Grinding System." Transactions of the Japan Society of Mechanical Engineers Series C 59, no. 560 (1993): 1109–14. http://dx.doi.org/10.1299/kikaic.59.1109.

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6

Alt, Walter, Christopher Schneider, and Martin Seydenschwanz. "Optimal Control of an Optical System for Material Testing." IFAC-PapersOnLine 51, no. 2 (2018): 278–83. http://dx.doi.org/10.1016/j.ifacol.2018.03.048.

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7

Takahashi, Kazuhiko, Ayane Fujimoto, Saki Kawakami, Hinako Mitera, and Masafumi Hashimoto. "Optimal Predictive Control Using Quaternion-valued Neural Network-based System Identification." Journal of the Institute of Industrial Applications Engineers 13, no. 1 (2025): 11–20. https://doi.org/10.12792/jiiae.13.11.

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8

TAKAHAMA, Morio, Takasi KIMURA, Ei TOKUDA, and Masahiro OHNO. "Flight Control System Design Using H.INF. Optimal Control." Journal of the Japan Society for Aeronautical and Space Sciences 41, no. 473 (1993): 324–29. http://dx.doi.org/10.2322/jjsass1969.41.324.

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9

Chertovskoy, V., and V. Tsehanovsky. "Optimal model of manufacturing control system." Journal of Physics: Conference Series 1864, no. 1 (2021): 012096. http://dx.doi.org/10.1088/1742-6596/1864/1/012096.

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10

Choi, Jeongju. "Optimal Control System of Traverse Grinding." Journal of the Korea Academia-Industrial cooperation Society 13, no. 12 (2012): 5704–8. http://dx.doi.org/10.5762/kais.2012.13.12.5704.

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11

Nakashima *, K., H. Arimitsu, T. Nose, and S. Kuriyama. "Optimal control of a remanufacturing system." International Journal of Production Research 42, no. 17 (2004): 3619–25. http://dx.doi.org/10.1080/00207840410001721772.

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12

Asenjo, F., B. A. Toledo, V. Muñoz, J. Rogan, and J. A. Valdivia. "Optimal control in a noisy system." Chaos: An Interdisciplinary Journal of Nonlinear Science 18, no. 3 (2008): 033106. http://dx.doi.org/10.1063/1.2956981.

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13

Fister, K. Renee, and C. Maeve McCarthy. "Optimal control of a chemotaxis system." Quarterly of Applied Mathematics 61, no. 2 (2003): 193–211. http://dx.doi.org/10.1090/qam/1976365.

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14

Li, Guo-Dong, Shiro Masuda, Daisuke Yamaguchi, and Masatake Nagai. "An Optimal Grey PID Control System." IEEJ Transactions on Electrical and Electronic Engineering 4, no. 4 (2009): 570–77. http://dx.doi.org/10.1002/tee.20445.

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15

Oliynyk, Viktor, Fedir Zhuravka, Tetiana Bolgar, and Olha Yevtushenko. "Optimal control of continuous life insurance model." Investment Management and Financial Innovations 14, no. 4 (2017): 21–29. http://dx.doi.org/10.21511/imfi.14(4).2017.03.

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The problems of mixed life insurance and insurance in the case of death are considered in the article. The actuarial present value of life insurance is found by solving a system of differential equations. The cases of both constant effective interest rates and variables, depending on the time interval, are examined. The authors used the Pontryagin maximum principle method as the most efficient one, in order to solve the problem of optimal control of the mixed life insurance value. The variable effective interest rate is considered as the control parameter. Some numerical results were given.

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16

Kalimoldayev, M., M. Jenaliyev, A. Abdildayeva, T. Zhukabayeva, and M. Akhmetzhanov. "OPTIMAL CONTROL OF POWER SYSTEMS." PHYSICO-MATHEMATICAL SERIES 5, no. 333 (2020): 86–94. http://dx.doi.org/10.32014/2020.2518-1726.86.

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This article discusses the study of problems of optimal control for electric power systems. The numerical solution of optimal control problems for complex electric power systems using an iterative algorithm is shown. Also considered are issues of solving the optimal control of a nonlinear system of ordinary differential equations in two different cases. The proposed solution methods follow the principle of continuation of extremal problems based on sufficient conditions for optimality of V. F. Krotov. A special case of optimal control problems is considered. Numerical experiments showed suffic

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17

Vega, David Cortes, Serafin Ramos Paz, Fernando Ornelas-Tellez, and J. Jesus Rico-Melgoza. "System Parameters’ Identification and Optimal Tracking Control for Nonlinear Systems." IFAC-PapersOnLine 51, no. 13 (2018): 431–36. http://dx.doi.org/10.1016/j.ifacol.2018.07.324.

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18

KAWAMURA, Hitoshi, and Takeshi TSUCHIYA. "Asymptotic Characteristics of Optimal Preview Control System." Transactions of the Society of Instrument and Control Engineers 25, no. 10 (1989): 1083–90. http://dx.doi.org/10.9746/sicetr1965.25.1083.

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19

Farkh, Rihem, Moufida Ksouri, and Faouzi Bouani. "Optimal Robust Control for Unstable Delay System." Computer Systems Science and Engineering 36, no. 2 (2021): 307–21. http://dx.doi.org/10.32604/csse.2021.014334.

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20

Suebsomran, Anan. "Optimal Control of Electromagnetic Suspension EMS System." Open Automation and Control Systems Journal 6, no. 1 (2014): 1–8. http://dx.doi.org/10.2174/1874444301406010001.

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21

Noda, Kengo, Kazuyoshi Miyata, Yasuhiro Nakano, and Hiroshi Murata. "Disturbance Characteristics of Optimal Deadbeat Control System." IEEJ Transactions on Electronics, Information and Systems 118, no. 4 (1998): 528–35. http://dx.doi.org/10.1541/ieejeiss1987.118.4_528.

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22

Tang, Xin Tong, and Chang Qing Cai. "Optimal Control of the Industrial Furnace System." Advanced Materials Research 383-390 (November 2011): 3077–80. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.3077.

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Control system of industrial furnace is optimized based on the aspect of the combustion. General goal of the control system is to achieve the lowest fuel with the constraints of ensuring the target control temperature of the equipment. And in different output and different fuel quantity conditions, the air-fuel rate is automatically optimized to achieve the goal of energy consumption combined with gas temperature of furnace temperature, oxygen and many parameters.

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23

Zubov, D. V., E. A. Paramonov, and A. A. Tolchenov. "System of optimal control the cellulases biosynthesis." Izvestiya MGTU MAMI 6, no. 2-4 (2012): 324–26. http://dx.doi.org/10.17816/2074-0530-68504.

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The production of enzymes from the waste of food production is of great ecological importance, but there are some difficulties connected with the instability of the raw materials used and the difficulty of operational control of the fermentation process. The paper proposes to use periodically updated mathematical biosynthesis model of the enzyme to determine the best moment of the process cessation.

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24

Naganawa, Akihiro, Eri Kobayashi, Kazuo Aida, and Goro Obinata. "Design of Optimal Generalized Predictive Control System." IEEJ Transactions on Industry Applications 119, no. 10 (1999): 1252–58. http://dx.doi.org/10.1541/ieejias.119.1252.

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25

Schuler, Simone, Christian Ebenbauer та Frank Allgöwer. "ℓ0-System Gain and ℓ1-Optimal Control". IFAC Proceedings Volumes 44, № 1 (2011): 9230–35. http://dx.doi.org/10.3182/20110828-6-it-1002.00755.

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26

Szarkowicz, Donald S., and Thomas W. Knowles. "Optimal Control of anM/M/SQueueing System." Operations Research 33, no. 3 (1985): 644–60. http://dx.doi.org/10.1287/opre.33.3.644.

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27

Wang, Wencan. "Optimal control of backward doubly stochastic system." IET Control Theory & Applications 13, no. 12 (2019): 1844–54. http://dx.doi.org/10.1049/iet-cta.2018.6249.

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28

Sun, Yun, and Yuanguo Zhu. "Optimal Control of a Multifactor Uncertain System." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 27, no. 03 (2019): 397–414. http://dx.doi.org/10.1142/s0218488519500181.

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Along with the development of the modern science and technology, people face a lot of data in different areas of production and life. In dealing with these data which include many indeterminant factors, we can use the multifactor uncertain system to describe a dynamical system with uncertain noises. Optimal control problem is an important research topic which aims at finding the optimal strategy in a dynamical system. In this paper, we consider the optimal control problem for the multifactor uncertain system with two evaluation criterions. Then a two person zero sum differential game model in

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29

Rivera, P. H., and C. F. Vasconcellos. "Optimal Control for a Backward Parabolic System." SIAM Journal on Control and Optimization 25, no. 5 (1987): 1163–72. http://dx.doi.org/10.1137/0325063.

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30

Liu, Qiyu, Qunxiong Zhu, Zhiqiang Geng, and Longjin Lv. "Time Optimal Control of a Thermoelastic System." Mathematical Problems in Engineering 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/6047670.

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This paper considers the numerical approximation for the time optimal control problem of a thermoelastic system with some control and state constraints. By the Galerkin finite element method (FEM), the original problem is projected into a semidiscrete optimal control problem governed by a system of ordinary differential equations. Then the optimal time and control parameterization method is applied to reduce the original system to an optimal parameter selection problem, in which both the optimal time and control are taken as decision variables to be optimized. This problem can be solved as a n

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31

Larsen, Mads B., Torben F. H. Kristensen, and Hans Holm. "Automated Optimal Closed Loop Control System Design." IFAC Proceedings Volumes 33, no. 17 (2000): 753–58. http://dx.doi.org/10.1016/s1474-6670(17)39497-1.

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32

Alexandrov, V. M. "Optimal Control of a System Under Disturbance." IFAC Proceedings Volumes 31, no. 13 (1998): 53–58. http://dx.doi.org/10.1016/s1474-6670(17)35995-5.

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33

Chen, Hong, Ping Yang, David D. Yao, and Xiuli Chao. "Optimal control of a simple assembly system." Operations Research Letters 14, no. 4 (1993): 199–205. http://dx.doi.org/10.1016/0167-6377(93)90070-w.

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34

Burger, J., and J. Taoud. "Optimal Control of a Non-Linear System." IFAC Proceedings Volumes 22, no. 4 (1989): 141–45. http://dx.doi.org/10.1016/s1474-6670(17)53533-8.

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35

El Bagdouri, M. "Optimal Control of a Nonlinear Thermal System." IFAC Proceedings Volumes 22, no. 4 (1989): 153–58. http://dx.doi.org/10.1016/s1474-6670(17)53535-1.

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36

Qing Zhang, G. G. Yin, and E. K. Boukas. "Optimal control of a marketing-production system." IEEE Transactions on Automatic Control 46, no. 3 (2001): 416–27. http://dx.doi.org/10.1109/9.911418.

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37

Kalboussi, N., A. Rapaport, T. Bayen, N. Ben Amar, F. Ellouze, and J. Harmand. "Optimal control of a membrane filtration system." IFAC-PapersOnLine 50, no. 1 (2017): 8704–9. http://dx.doi.org/10.1016/j.ifacol.2017.08.1554.

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38

Reid, D. W., and K. L. Teo. "Optimal control problems with fuzzy system parameters." Mathematical and Computer Modelling 16, no. 3 (1992): 3–13. http://dx.doi.org/10.1016/0895-7177(92)90042-j.

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39

Vlasenko, L. A., A. G. Rutkas, V. V. Semenets, and A. A. Chikrii. "Stochastic Optimal Control of a Descriptor System." Cybernetics and Systems Analysis 56, no. 2 (2020): 204–12. http://dx.doi.org/10.1007/s10559-020-00236-7.

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40

HASSAN, S., E. EL-MEHEIRY, and S. EL-SHAKERY. "OPTIMAL MODIFIED COMBINED SYSTEM FOR VIBRATION CONTROL." International Conference on Aerospace Sciences and Aviation Technology 4, ASAT CONFERENCE (1991): 1–17. http://dx.doi.org/10.21608/asat.1991.25761.

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41

Gashimov, S. "Optimal control in quasilinear loaded parabolic system." Актуальные направления научных исследований XXI века: теория и практика 2, no. 4 (2014): 292–95. http://dx.doi.org/10.12737/4762.

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42

Toleukhan, Imankul. "Optimal Control of the Rotor System Motion." Advanced Materials Research 705 (June 2013): 546–52. http://dx.doi.org/10.4028/www.scientific.net/amr.705.546.

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Among the problems of the rotor machines dynamics the special attention is given to the problems of creation of the automatic balancing devices (ABD) in form of a hollow rotor, filled by a liquid, and the liquid-solidbody ABD. The theoretical and experimental works on research of the ABD on the base of a hollow rotor filled partially with a liquid and of the liquid-solidbody ABD are not enough. Therefore development of the methods of research of dynamics of the rotor machines with the ABD and such machines designs is an actual, new and perspective problem. In the present work the mathematical

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43

Unami, Koichi, Susumu Kurata, Toshihiko Kawachi, and Kazuo Morishita. "Optimal Control of Interconnected Irrigation Tanks System." Journal of Rainwater Catchment Systems 8, no. 2 (2003): 35–39. http://dx.doi.org/10.7132/jrcsa.kj00000795203.

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44

Gabasov, R., F. M. Kirillova, and N. S. Pavlenok. "An optimal control of a hybrid system." Doklady Mathematics 76, no. 3 (2007): 976–82. http://dx.doi.org/10.1134/s1064562407060427.

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45

Sánchez Chávez, Irma Y., Rubén Morales-Menéndez, and Sergio O. Martínez Chapa. "Glucose optimal control system in diabetes treatment." Applied Mathematics and Computation 209, no. 1 (2009): 19–30. http://dx.doi.org/10.1016/j.amc.2008.06.030.

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46

Melnyk, Matthew P., and Dong Eui Chang. "Time optimal control of a dielectrophoretic system." Asian Journal of Control 13, no. 4 (2010): 480–91. http://dx.doi.org/10.1002/asjc.181.

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47

Razmara, M., M. Maasoumy, M. Shahbakhti, and R. D. Robinett. "Optimal exergy control of building HVAC system." Applied Energy 156 (October 2015): 555–65. http://dx.doi.org/10.1016/j.apenergy.2015.07.051.

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48

Zheng, G. R., and M. Zaheer-Uddin. "Discharge air system: modelling and optimal control." International Journal of Energy Research 23, no. 8 (1999): 727–38. http://dx.doi.org/10.1002/(sici)1099-114x(19990625)23:8<727::aid-er512>3.0.co;2-z.

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49

Krzysztofik, Izabela, and Zbigniew Koruba. "Optimal Hybrid Control of a Gyroscope System." Pomiary Automatyka Robotyka 28, no. 1 (2024): 15–22. http://dx.doi.org/10.14313/par_251/15.

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The paper analyses the selection of optimal controllers (LQR, SMC and PD) for a mechatronic gyroscope system used in scanning-tracking heads of mobile objects such as spacecrafts, unmanned land vehicles, flying drones or self-guided missiles. The integral of the absolute value of the deviation error of the set motion from the real moving object and the integral of the square of the state and control have been taken as the quality criterion. The results of computer simulation studies are presented.

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50

RAJA, Dr V. SAI SHANMUGA, Dr G. GUNASEKARAN, and CHINCHU NAIR. "OPTIMAL TRAFFIC CONTROL SYSTEM FOR TRAFFIC CONGESTION." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–11. http://dx.doi.org/10.55041/ijsrem29177.

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A smart city's traffic management system is regarded as one of its primary components. Traffic jams are a common sight on the roadways in metropolitan areas due to the rapid increase in population and urban mobility. In order to address road traffic management issues and assist authorities with appropriate planning, an intelligent traffic management system utilizing the Yolo algorithm and Open CV approach is proposed in this project. A workable model for counting automobiles in traffic was developed using image processing as the basis. image processing methods classified and tallied moving veh

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