Relevant bibliographies by topics / Optimal control system

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Optimal control system'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Optimal control system"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Optimal control system"

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Ding, Xu Chu. "Real-time optimal control of autonomous switched systems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31725.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2010.<br>Committee Chair: Egerstedt, Magnus; Committee Co-Chair: Wardi, Yorai; Committee Member: Riley, George; Committee Member: Taylor, David; Committee Member: Tovey, Craig; Committee Member: Yezzi, Anthony. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Hornung, Thomas. "Optimal control with ultrashort laser pulses." Diss., lmu, 2002. http://nbn-resolving.de/urn:nbn:de:bvb:19-2963.

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Hunt, K. J. "Stochastic optimal control theory with application in self-tuning control." Thesis, University of Strathclyde, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382399.

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Tsai, Mi-Ching. "Super-optimal control system design for multivariable plants." Thesis, University of Oxford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238170.

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Barth, Eric J. "Approximating infinite horizon discrete-time optimal control using CMAC networks." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/19464.

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Liu, Ying. "An integrated optimal control system for emergency evacuation." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/7018.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.<br>Thesis research directed by: Civil Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Hemasilpin, Nat. "Toward Optimal Adaptive Control of Hemodialysis." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378112378.

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Wang, Kon-King. "Complete synthesis of optimal control (single input linear systems)." Case Western Reserve University School of Graduate Studies / OhioLINK, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=case1057165454.

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de, Azevedo Ricardo. "Fully Decentralized Multi-Agent System for Optimal Microgrid Control." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2461.

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In preparation for the influx of renewable energy sources that will be added to the electrical system, flexible and adaptable control schemes are necessary to accommodate the changing infrastructure. Microgrids have been gaining much attention as the main solution to the challenges of distributed and intermittent generation, but due to their low inertia, they need fast-acting control systems in order to maintain stability. Multi-Agent Systems have been proposed as dynamic control and communication frameworks. Decentralized arrangements of agents can provide resiliency and the much-desired “plu
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Manzano, Ramos Edgar André. "Optimal control algorithm design for a prototype of active noise control system." Master's thesis, Pontificia Universidad Católica del Perú, 2017. http://tesis.pucp.edu.pe/repositorio/handle/123456789/8499.

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High-level noise can represent a serious risk for the health, industrial operations often represent continuous exposure to noise, thus an important trouble to handle. An alternative of solution can be the use of passive mechanisms of noise reductions, nonetheless its application cannot diminish low-frequency noise. Active Noise Control (ANC) is the solution used for low-frequency noise, ANC systems work according to the superposition principle generating a secondary anti-noise signal to reduce both. Nevertheless, the generation of an anti-noise signal with same oppose characteristics o
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Books on the topic "Optimal control system"

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Chen, Chi-Tsong. Control system design: Conventional, algebraic, and optimal methods. Pond Woods Press, 1987.

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Patan, Maciej. Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems. Springer Berlin Heidelberg, 2012.

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Hejmo, Władysław. Singular phenomena in a time-optimal feedback system. Politechnika Krakowska im. Tadeusza Kościuszki, 1997.

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Singh, Tarunraj. Optimal reference shaping for dynamical systems: Theory and applications. CRC Press, 2010.

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Uciński, Dariusz. Optimal measurement methods for distributed parameter system identification. CRC Press, 2005.

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E, Helfrich Clifford, and United States. National Aeronautics and Space Administration., eds. Robust neighboring optimal guidance for the advanced launch system. Guidance and Control Group, Dept. of Aerospace Engineering and Engineering Mechanics, University of Texas at Austin, 1993.

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1952-, Kunisch K. (Karl), and SpringerLink (Online service), eds. Optimal control of coupled systems of partial differential equations. Birkhäuser Verlag, 2009.

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Zoran, Gajić, ed. Optimal control: Weakly coupled systems and applications. Taylor & Francis, 2008.

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Clarke, Francis. Functional Analysis, Calculus of Variations and Optimal Control. Springer London, 2013.

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Zhao, Tianyi, Jiaming Wang, and Yiting Wang. Thermal Distribution Principle and Nonlinear Optimal Control for HVAC Water System. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0377-0.

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Book chapters on the topic "Optimal control system"

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Aschepkov, Leonid T., Dmitriy V. Dolgy, Taekyun Kim, and Ravi P. Agarwal. "Synthesis of the Optimal System Performance." In Optimal Control. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49781-5_6.

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Ashchepkov, Leonid T., Dmitriy V. Dolgy, Taekyun Kim, and Ravi P. Agarwal. "Synthesis of the Optimal System Performance." In Optimal Control. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91029-7_6.

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Bourdache-Siguerdidjane, Houria. "Stability Conditions in Terms of Eigenvalues of a Nonlinear Optimal Controlled System." In Optimal Control. Birkhäuser Basel, 1993. http://dx.doi.org/10.1007/978-3-0348-7539-4_14.

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Claude, D., and N. Nadjar. "Nonlinear Control under Constraints of a Biological System." In Computational Optimal Control. Birkhäuser Basel, 1994. http://dx.doi.org/10.1007/978-3-0348-8497-6_23.

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Tsui, Chia-Chi. "Control Design for LQ Optimal Control." In Robust Control System Design, 3rd ed. CRC Press, 2022. http://dx.doi.org/10.1201/9781003259572-10.

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Ardema, Mark D., and Han-Chang Chou. "Second Order Algorithm for Time Optimal Control of a Linear System." In Computational Optimal Control. Birkhäuser Basel, 1994. http://dx.doi.org/10.1007/978-3-0348-8497-6_10.

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Ericsson, Goran, Patrik Forsgren, and Erik Gyllensward. "An Object-Oriented Approach to Optimally Describe and Specify a SCADA System." In Computational Optimal Control. Birkhäuser Basel, 1994. http://dx.doi.org/10.1007/978-3-0348-8497-6_24.

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Redfern, D. A., and C. J. Goh. "Feedback control of state constrained optimal control problems." In System Modelling and Optimization. Springer US, 1996. http://dx.doi.org/10.1007/978-0-387-34897-1_53.

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Basu, Dipak, and Victoria Miroshnik. "Energy System Modeling." In Dynamic Systems Modeling and Optimal Control. Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137508959_4.

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Baev, Konstantin V. "The Spinal Motor Optimal Control System." In Biological Neural Networks: Hierarchical Concept of Brain Function. Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-4100-3_5.

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Conference papers on the topic "Optimal control system"

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Liang, Zihao, and Shaoshuai Mou. "Inverse Optimal Control with System Output." In 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE, 2024. http://dx.doi.org/10.1109/icps59941.2024.10640041.

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Mertin, N. F. A., and K. Rudie. "Generalizing Discrete-Event System Control Problems to Optimal Control." In 2024 American Control Conference (ACC). IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10644857.

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McLain, Timothy W., and Randal W. Beard. "Nonlinear Optimal Control of a Hydraulically Actuated Positioning System." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1297.

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Abstract In this paper, the nonlinear optimal control problem is formulated for the position control of an electrohydraulic servo system. The optimal control is given by the solution to the Hamilton-Jacobi-Bellman equation, which in this case cannot be solved explicitly. An alternative method, based upon successive Galerkin approximation, is used to obtain an approximate optimal solution. Preliminary simulation results, demonstrating the application of this approach to the position control of a hydraulically actuated device, are presented.
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Song, Sipeng, James F. Whidborne, Mudassir Lone, and Arturo Molina-Cristobal. "Multi-Objective Optimal Longitudinal Flight Control System Design for Large Flexible Transport Aircraft." In 2018 UKACC 12th International Conference on Control (CONTROL). IEEE, 2018. http://dx.doi.org/10.1109/control.2018.8516783.

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Belov, Mikhail, and Dmitry Novikov. "Optimal Enterprise: Engineering and Control." In 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE). IEEE, 2020. http://dx.doi.org/10.1109/sose50414.2020.9130549.

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Cherng, Tzyh-Chyang, and Yoram Koren. "Stability of the Optimal Locus System." In 1989 American Control Conference. IEEE, 1989. http://dx.doi.org/10.23919/acc.1989.4790169.

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Wang, Zhi-Wen, and Hong-Hong Gao. "Linear quadratic optimal control of networked control system." In 2015 27th Chinese Control and Decision Conference (CCDC). IEEE, 2015. http://dx.doi.org/10.1109/ccdc.2015.7162282.

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Chikhi, F., and J. C. Cadiou. "Optimal Control for Anti-Braking System." In 2005 IEEE International Symposium on Intelligent Control and 13th Mediterranean Conference on Control and Automation. IEEE, 2005. http://dx.doi.org/10.1109/.2005.1467079.

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Selamat, Hazlina, Ahmad Jais Alimin, and Mohd Anwar Zawawi. "Optimal control of railway vehicle system." In 2009 IEEE International Conference on Industrial Technology - (ICIT). IEEE, 2009. http://dx.doi.org/10.1109/icit.2009.4939493.

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"Time optimal pneumatic valve control system." In Proceedings of the 1999 American Control Conference. IEEE, 1999. http://dx.doi.org/10.1109/acc.1999.782774.

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Reports on the topic "Optimal control system"

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Seginer, Ido, James Jones, Per-Olof Gutman, and Eduardo Vallejos. Optimal Environmental Control for Indeterminate Greenhouse Crops. United States Department of Agriculture, 1997. http://dx.doi.org/10.32747/1997.7613034.bard.

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Increased world competition, as well as increased concern for the environment, drive all manufacturing systems, including greenhouses, towards high-precision operation. Optimal control is an important tool to achieve this goal, since it finds the best compromise between conflicting demands, such as higher profits and environmental concerns. The report, which is a collection of papers, each with its own abstract, outlines an approach for optimal, model-based control of the greenhouse environment. A reliable crop model is essential for this approach and a significant portion of the effort went i
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Jiang, yilin, Kevwe Ejenakevwe, Junke Wang, et al. Development and validation of home comfort system for total performance deficiency/fault detection and optimal comfort control. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2352250.

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Kularatne, Dhanushka N., Subhrajit Bhattacharya, and M. Ani Hsieh. Computing Energy Optimal Paths in Time-Varying Flows. Drexel University, 2016. http://dx.doi.org/10.17918/d8b66v.

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Autonomous marine vehicles (AMVs) are typically deployed for long periods of time in the ocean to monitor different physical, chemical, and biological processes. Given their limited energy budgets, it makes sense to consider motion plans that leverage the dynamics of the surrounding flow field so as to minimize energy usage for these vehicles. In this paper, we present two graph search based methods to compute energy optimal paths for AMVs in two-dimensional (2-D) time-varying flows. The novelty of the proposed algorithms lies in a unique discrete graph representation of the 3-D configuration
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Yang, Yu, and Hen-Geul Yeh. Electrical Vehicle Charging Infrastructure Design and Operations. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2240.

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California aims to achieve five million zero-emission vehicles (ZEVs) on the road by 2030 and 250,000 electrical vehicle (EV) charging stations by 2025. To reduce barriers in this process, the research team developed a simulation-based system for EV charging infrastructure design and operations. The increasing power demand due to the growing EV market requires advanced charging infrastructures and operating strategies. This study will deliver two modules in charging station design and operations, including a vehicle charging schedule and an infrastructure planning module for the solar-powered
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Morkun, Volodymyr, Natalia Morkun, Andrii Pikilnyak, Serhii Semerikov, Oleksandra Serdiuk, and Irina Gaponenko. The Cyber-Physical System for Increasing the Efficiency of the Iron Ore Desliming Process. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4373.

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It is proposed to carry out the spatial effect of high-energy ultrasound dynamic effects with controlled characteristics on the solid phase particles of the ore pulp in the deslimer input product to increase the efficiency of thickening and desliming processes of iron ore beneficiation products. The above allows predicting the characteristics of particle gravitational sedimentation based on an assessment of the spatial dynamics of pulp solid- phase particles under the controlled action of high-energy ultrasound and fuzzy logical inference. The object of study is the assessment of the character
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Olsen. PR-179-07200-R01 Evaluation of NOx Sensors for Control of Aftertreatment Devices. Pipeline Research Council International, Inc. (PRCI), 2008. http://dx.doi.org/10.55274/r0010985.

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Emissions reduction through exhaust aftertreatment is becoming more common. It is likely to play an important role in meeting new emissions regulations in the future. Currently, the predominate aftertreatment technology for NOX reduction in lean burn natural gas engines appears to be selective catalytic reduction (SCR). In SCR, a reducing agent is injected into the exhaust upstream of a catalyst. Supplying the optimal quantity of reagent is critical to effective application of SCR. If too little reagent is supplied then the NOx reduction efficiency may be too low. If too much reagent is provid
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Gaponenko, Artiom, and Andrey Golovin. Electronic magazine with rating system of an estimation of individual and collective work of students. Science and Innovation Center Publishing House, 2017. http://dx.doi.org/10.12731/er0043.06102017.

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«The electronic magazine with rating system of an estimation of individual and collective work of students» (EM) is developed in document Microsoft Excel with use of macros. EM allows to automate all the calculated operations connected with estimation of amount scored by students in each form of the current control. EM provides automatic calculation of rating of the student with reflection of a maximum quantity of the points received in given educational group. The rating equal to “1” is assigned to the student who has got a maximum quantity of points for the certain date. For the other studen
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Duncan, Tyrone E., and Bozenna Pasik-Duncan. Optimal And Adaptive Control of Stochastic Systems. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada567576.

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Lagutin, Andrey, and Tatyana Sidorina. SYSTEM OF FORMATION OF PROFESSIONAL AND PERSONAL SELF-GOVERNMENT AMONG CADETS OF MILITARY INSTITUTES. Science and Innovation Center Publishing House, 2020. http://dx.doi.org/10.12731/self-government.

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When carrying out professional activities, officers of the VNG of the Russian Federation are often in difficult, stressful, emotionally stressful situations associated with the use of weapons as a particularly dangerous means of destruction. The right to use a weapon by an officer makes him responsible for its use. And therefore requires the officer to make a balanced optimal decision, which is associated with the risk and transience of events, and in which no mistake can be made, since the price of it can be someone's life. It is at such a moment that it is important that the officer has stab
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Gibson, J. S. Digital Adaptive and Optimal Control of Distributed Systems. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada285352.

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