Relevant bibliographies by topics / Quadratic Optimal Regulator

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

Academic literature on the topic 'Quadratic Optimal Regulator'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Quadratic Optimal Regulator"

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Pratama, G. N. P., N. Setiawan, S. A. Saputra, L. Pambudi, A. D. N. Umam, and M. N. P. Hermansah. "Optimal Quadratic Regulator PID for Motor DC." Journal of Physics: Conference Series 2406, no. 1 (2022): 012002. http://dx.doi.org/10.1088/1742-6596/2406/1/012002.

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Abstract There are various methods for optimizing the parameters of PID, such as Genetic Algorithm, Flower Pollination Algorithm, and many more. Those metaheuristics methods can be used on various applications. Nevertheless, the computational costs are quite expensive. In this paper, we design a PID controller based on the optimal regulator for a DC motor. It provides such an optimal solution that does not require highly computational resources. We simulate the responses of the closed-loop system using MATLAB. The results verify that the optimal regulated (PID-QR) has better response than Zieg
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Wu, Guangyu, Jian Sun, and Jie Chen. "Optimal Linear Quadratic Regulator of Switched Systems." IEEE Transactions on Automatic Control 64, no. 7 (2019): 2898–904. http://dx.doi.org/10.1109/tac.2018.2872204.

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Tấn, Vũ Văn. "OPTIMAL CONTROLLER DESIGN FOR ACTIVE SUSPENSION SYSTEM ON CARS." TNU Journal of Science and Technology 225, no. 13 (2020): 107–13. http://dx.doi.org/10.34238/tnu-jst.3559.

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Hệ thống treo là một trong những bộ phận quan trọng nhất trong thiết kế ô tô và là yếu tố quyết định đến sự thoải mái của lái xe, hành khách (độ êm dịu) và giữ được bám giữa lốp và mặt đường (độ an toàn). Bài báo này giới thiệu một mô hình ¼ ô tô có 2 bậc tự do sử dụng hệ thống treo chủ động với hai bộ điều khiển tối ưu: linear quadratic regulator và linear quadratic gaussian (linear quadratic regulator kết hợp với bộ quan sát Kalman-Bucy). Bằng cách sử dụng bộ quan sát Kalman-Bucy, số lượng cảm biến dùng để đo đạc các tín hiệu đầu vào của bộ điều khiển linear quadratic regulator đã được giảm
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Liu, Xiaoxiao, YuanSheng Wang, and XingMin Ren. "Optimal vibration control of moving-mass beam systems with uncertainty." Journal of Low Frequency Noise, Vibration and Active Control 39, no. 3 (2019): 803–17. http://dx.doi.org/10.1177/1461348419844150.

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A linear optimal regulator for uncertain system is designed through the application of the probability density evolution method to linear quadratic regulator controller. One important background of this work is bridge-vehicle/gun-projectile system. This type of optimal problem is currently transformed into a moving load problem. The developed optimal regulator can provide the law of probability densities of outputs varying with time. In order to make the advocated method reach an optimal performance, the beneficial weighting matrix pair (Q, R) is selected using a trade-off sense. The designed
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Heidari, Mohammad, and Hadi Homaei. "Quadratic Optimal Regulator Design of a Pneumatic Control Valve." Modelling and Simulation in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/862190.

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Pneumatic control valves are still the most used devices in the process industries, due to their low cost and simplicity. This paper presents a regulator for pneumatic control valves using pole-placement method, optimal control, full-order state observer, and minimum-order state observer and their responses will be compared with each other. Bondgraph method has been used to model the control valve. Simulation results have been made for four models of regulator. The results show that minimum overshoot and settling time are achieved using optimal regulator of pneumatic valve.
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Bender, D., and A. Laub. "The linear-quadratic optimal regulator for descriptor systems." IEEE Transactions on Automatic Control 32, no. 8 (1987): 672–88. http://dx.doi.org/10.1109/tac.1987.1104694.

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Tasch, Uri, and Mark L. Nagurka. "Linear Quadratic Regulator With Varying Finite Time Durations." Journal of Dynamic Systems, Measurement, and Control 114, no. 3 (1992): 517–19. http://dx.doi.org/10.1115/1.2897378.

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The optimal state trajectories of time-invariant linear quadratic regulator problems with different time horizons can be found from a single Riccati gain matrix shifted appropriately in time. This result has significant ramifications for real-time implementation of optimal controllers driving systems at various speeds.
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Hilda, Hilda. "Optimalisasi Kecepatan Sistem Aliran Fluida Metoda Linear Quadratic Regulator." Jurnal Edukasi dan Penelitian Informatika (JEPIN) 9, no. 1 (2023): 1. http://dx.doi.org/10.26418/jp.v9i1.50555.

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Penelitian ini membahas penerapan metode Regulator Kuadratik Linier (LQR) pada sistem kendali optimal. LQR menggunakan kombinasi linier dari state plant untuk melakukan proses kontrol, sehingga memerlukan semua state dalam sistem yang tersedia untuk diukur atau diakses. Namun, jika beberapa state tidak dapat diukur, LQR dapat mengestimasi state-state tersebut berdasarkan model sistem dan keluaran sistem yang dapat diukur. Penelitian ini berfokus pada perancangan model pengendali optimal untuk meningkatkan kecepatan proses dalam sistem industri. Simulasi dilakukan menggunakan software Matlab R2
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Shin, Sungho, Yiheng Lin, Guannan Qu, Adam Wierman, and Mihai Anitescu. "Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems." SIAM Journal on Control and Optimization 61, no. 3 (2023): 1113–35. http://dx.doi.org/10.1137/22m1489836.

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Abdelrahman, M., G. Aryassov, M. Tamre, and I. Penkov. "System Vibration Control Using Linear Quadratic Regulator." International Journal of Applied Mechanics and Engineering 27, no. 3 (2022): 1–8. http://dx.doi.org/10.2478/ijame-2022-0031.

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Abstract Balancing a bipedal robot movement against external perturbations is considered a challenging and complex topic. This paper discusses how the vibration caused by external disturbance has been tackled by a Linear Quadratic Regulator, which aims to provide optimal control to the system. A simulation was conducted on MATLAB in order to prove the concept. Results have shown that the linear quadratic regulator was successful in stabilizing the system efficiently.
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Dissertations / Theses on the topic "Quadratic Optimal Regulator"

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Benner, Peter, and Jens Saak. "Linear-Quadratic Regulator Design for Optimal Cooling of Steel Profiles." Universitätsbibliothek Chemnitz, 2006. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200601597.

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We present a linear-quadratic regulator (LQR) design for a heat transfer model describing the cooling process of steel profiles in a rolling mill. Primarily we consider a feedback control approach for a linearization of the nonlinear model given there, but we will also present first ideas how to use local (in time) linearizations to treat the nonlinear equation with a regulator approach. Numerical results based on a spatial finite element discretization and a numerical algorithm for solving large-scale algebraic Riccati equations are presented both for the linear and nonlinear models.
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Vugrin, Eric D. "On Approximation and Optimal Control of Nonnormal Distributed Parameter Systems." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/11149.

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For more than 100 years, the Navier-Stokes equations and various linearizations have been used as a model to study fluid dynamics. Recently, attention has been directed toward studying the nonnormality of linearized problems and developing convergent numerical schemes for simulation of these sytems. Numerical schemes for optimal control problems often require additional properties that may not be necessary for simulation; these properties can be critical when studying nonnormal problems. This research is concerned with approximating infinite dimensional optimal control problems with nonnorma
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Ababnah, Ahmad A. "Sensor deployment in detection networks-a control theoretic approach." Diss., Kansas State University, 2010. http://hdl.handle.net/2097/6699.

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Doctor of Philosophy<br>Department of Electrical and Computer Engineering<br>Balasubramaniam Natarajan<br>For any automated surveillance operation to be successful, it is critical to have sensing resources strategically positioned to observe, interpret, react and maybe even predict events.In many practical scenarios, it is also expected that different zones within a surveillance area may have different probability of event detection (or false alarm) requirements. The operational objective in such surveillance systems is to optimize resources (number of sensors and the associated cost) and the
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Farrell, Michael David. "Error-State Estimation and Control for a Multirotor UAV Landing on a Moving Vehicle." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/7879.

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Though multirotor unmanned aerial vehicles (UAVs) have become widely used during the past decade, challenges in autonomy have prevented their widespread use when moving vehicles act as their base stations. Emerging use cases, including maritime surveillance, package delivery and convoy support, require UAVs to autonomously operate in this scenario. This thesis presents improved solutions to both the state estimation and control problems that must be solved to enable robust, autonomous landing of multirotor UAVs onto moving vehicles.Current state-of-the-art UAV landing systems depend on the det
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Erdogan, Zeynep. "Development Of A Control Strategy For Road Vehicles With Semi-active Suspensions Using A Full Vehicle Ride Model." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610392/index.pdf.

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The main motivation of this study is the design of a control strategy for semi-active vehicle suspension systems to improve ride comfort for road vehicles. In order to achieve this objective, firstly the damping characteristics of Magnetorheological dampers will be reviewed. Then an appropriate semi-active control strategy manipulating the inputs of the dampers to create suitable damping forces will be designed. Linear Quadratic Regulator (LQR) control strategy is the primary focus area on semi-active control throughout this study. Further, skyhook controllers are examined and compared with op
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Maciel, Allan James Ferreira. "CONVERGÊNCIA DO ESTIMADOR RLS PARA ALGORITMOS DE PROGRAMAÇÃO DINÂMICA HEURÍSTICA." Universidade Federal do Maranhão, 2012. http://tedebc.ufma.br:8080/jspui/handle/tede/494.

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Made available in DSpace on 2016-08-17T14:53:22Z (GMT). No. of bitstreams: 1 Dissertacao Allan James.pdf: 3170694 bytes, checksum: 054a9e74e81a7c2099800246d0b6c530 (MD5) Previous issue date: 2012-09-28<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>The union of methodologies for optimal control and dynamics programming has stimulated the development of algorithms for realization of discrete control systems of the type linear quadratic regulator (DLQR). The methodology is based on reinforcement learning methods based on temporal differences and approximate dynamic program
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SANTOS, Watson Robert Macedo. "Metodos para Solução da Equação HJB-Riccati via Famíla de Estimadores Parametricos RLS Simplificados e Dependentes de Modelo." Universidade Federal do Maranhão, 2014. http://tedebc.ufma.br:8080/jspui/handle/tede/1892.

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Submitted by Maria Aparecida (cidazen@gmail.com) on 2017-09-04T13:42:58Z No. of bitstreams: 1 Watson Robert.pdf: 2699368 bytes, checksum: cf204eec3df50b251f4adbbbd380ffd0 (MD5)<br>Made available in DSpace on 2017-09-04T13:42:58Z (GMT). No. of bitstreams: 1 Watson Robert.pdf: 2699368 bytes, checksum: cf204eec3df50b251f4adbbbd380ffd0 (MD5) Previous issue date: 2014-08-21<br>Due to the demand for high-performance equipments and the rising cost of energy, the industrial sector is developing equipments to attend minimization of the theirs operational costs. The implementation of these requirement
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Ferreira, Ernesto Franklin Marçal. "Melhorias de estabilidade numérica e custo computacional de aproximadores de funções valor de estado baseados em estimadores RLS para projeto online de sistemas de controle HDP-DLQR." Universidade Federal do Maranhão, 2016. http://tedebc.ufma.br:8080/jspui/handle/tede/1687.

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Submitted by Rosivalda Pereira (mrs.pereira@ufma.br) on 2017-06-23T20:34:27Z No. of bitstreams: 1 ErnestoFerreira.pdf: 1744167 bytes, checksum: c125c90e5eb2aab2618350567f88cb31 (MD5)<br>Made available in DSpace on 2017-06-23T20:34:27Z (GMT). No. of bitstreams: 1 ErnestoFerreira.pdf: 1744167 bytes, checksum: c125c90e5eb2aab2618350567f88cb31 (MD5) Previous issue date: 2016-03-08<br>The development and the numerical stability analysis of a new adaptive critic algorithm to approximate the state-value function for online discrete linear quadratic regulator (DLQR) optimal control system design
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RÊGO, Patrícia Helena Moraes. "Aprendizagem por Reforço e Programação Dinâmica Aproximada para Controle Ótimo: Uma Abordagem para o Projeto Online do Regulador Linear Quadrático Discreto com Programação Dinâmica Heurística Dependente de Estado e Ação." Universidade Federal do Maranhão, 2014. http://tedebc.ufma.br:8080/jspui/handle/tede/1879.

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Submitted by Maria Aparecida (cidazen@gmail.com) on 2017-08-30T15:33:12Z No. of bitstreams: 1 Patricia Helena.pdf: 11110405 bytes, checksum: ca1f067231658f897d84b86181dbf1b9 (MD5)<br>Made available in DSpace on 2017-08-30T15:33:12Z (GMT). No. of bitstreams: 1 Patricia Helena.pdf: 11110405 bytes, checksum: ca1f067231658f897d84b86181dbf1b9 (MD5) Previous issue date: 2014-07-24<br>In this thesis a proposal of an uni ed approach of dynamic programming, reinforcement learning and function approximation theories aiming at the development of methods and algorithms for design of optimal control syst
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Gigli, Nicola. "On the geometry of the space of probability measures in ℝn endowed with the quadratic optimal transport distance". Doctoral thesis, Scuola Normale Superiore, 2008. http://hdl.handle.net/11384/85696.

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Books on the topic "Quadratic Optimal Regulator"

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Rosen, I. G. Optimal discrete-time LQR problems for parabolic systems with unbounded input - approximation and convergence. ICASE, 1988.

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Banks, H. Thomas. A numerical algorithm for optimal feedback gains in high dimensional LQR problems. ICASE, 1986.

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Gibson, J. S. Numerical approximation for the infinite-dimensional discrete-time optimal linear-quadratic regulator problem. ICASE, 1986.

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Gibson, J. S. Shifting the closed-loop spectrum in the optimal linear quadratic regulator problem for hereditary systems. ICASE, 1986.

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E, Skelton Robert, and Langley Research Center, eds. Closed-form solutions for linear regulator design of mechanical systems including optimal weighting matrix selection. National Aeronautics and Space Administration, Langley Research Center, 1991.

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E, Skelton Robert, and Langley Research Center, eds. Closed-form solutions for linear regulator design of mechanical systems including optimal weighting matrix selection. National Aeronautics and Space Administration, Langley Research Center, 1991.

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Harrison, R. F. Towards real-time, non-linear quadratic optimal regulation. University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1997.

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Closed-form solutions for linear regulator design of mechanical systems including optimal weighting matrix selection. National Aeronautics and Space Administration, Langley Research Center, 1991.

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Book chapters on the topic "Quadratic Optimal Regulator"

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Lavretsky, Eugene, and Kevin A. Wise. "Optimal Control and the Linear Quadratic Regulator." In Robust and Adaptive Control. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4396-3_2.

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Swigart, John, and Sanjay Lall. "Optimal Controller Synthesis for a Decentralized Two-Player Linear-Quadratic Regulator via Spectral Factorization." In Distributed Decision Making and Control. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2265-4_2.

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Mousa, M. E., M. A. Ebrahim, and M. A. Moustafa Hassan. "Optimal Fractional Order Proportional—Integral—Differential Controller for Inverted Pendulum with Reduced Order Linear Quadratic Regulator." In Fractional Order Control and Synchronization of Chaotic Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50249-6_8.

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Mori, Kazuyoshi. "Approximate Linear Quadratic Regulator Problem and Its Application to Optimal Control in Discrete-Time LTI Systems." In Lecture Notes in Electrical Engineering. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1695-1_5.

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Lavretsky, Eugene, and Kevin A. Wise. "Optimal Control and Linear Quadratic Regulators." In Robust and Adaptive Control. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-38314-4_4.

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Sun, Jiayue, Shun Xu, Yang Liu, and Huaguang Zhang. "Adaptive Virotherapy Strategy for Organism with Constrained Input Using Medicine Dosage Regulation Mechanism." In Adaptive Dynamic Programming. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5929-7_7.

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AbstractIn this chapter, the constrained adaptive control strategy based on virotherapy is investigated for organism using the medicine dosage regulation mechanism (MDRM). Firstly, the tumor-virus-immune interaction dynamics is established to model the relations among the tumor cells (TCs), virus particles and the immune response. ADP method is extended to approximately obtain the optimal strategy for the interaction system to reduce the populations of TCs. Due to the consideration of asymmetric control constraints, the non-quadratic functions are proposed to formulate the value function such
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"The Linear Quadratic Regulator." In Calculus of Variations and Optimal Control Theory. Princeton University Press, 2011. http://dx.doi.org/10.2307/j.ctvcm4g0s.9.

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"The Optimal Linear Quadratic Regulator." In Linear Multivariable Control Systems. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781108891561.008.

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"Chapter Six. The Linear Quadratic Regulator." In Calculus of Variations and Optimal Control Theory. Princeton University Press, 2012. http://dx.doi.org/10.1515/9781400842643-007.

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Lancaster, Peter, and Leiba Rodman. "Linear–Quadratic Regulator Problems." In Algebraic Riccati Equations. Oxford University PressOxford, 1995. http://dx.doi.org/10.1093/oso/9780198537953.003.0016.

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Abstract The “linear-quadratic regulator” (LQR) problem of optimal control has probably provided the greatest single stimulus for investigation of matrix Riccati equations in differential, difference, and algebraic forms. In this chapter the continuous and discrete LQR problems are to be outlined and then the solutions of these problems using Riccati equations are developed. Consistent with the spirit of this book attention is confined to time-invariant (i.e., constant coefficient) problems, even though significant parts of the theory are readily extended to linear time varying problems (see,
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Conference papers on the topic "Quadratic Optimal Regulator"

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Tahirbegovic, Anel, and Adnan Tahirovic. "Optimal Robustification of Linear Quadratic Regulator." In 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2024. http://dx.doi.org/10.1109/codit62066.2024.10708368.

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Deeb, Delshan, and Igor V. Merkuryev. "Optimal Control of a Wheeled-Exoskeleton Using Linear Quadratic Regulator and Kalman Filter." In 2025 7th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE). IEEE, 2025. https://doi.org/10.1109/reepe63962.2025.10971123.

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Reddinger, Jean-Paul. "LQR Gain Tuning for On-Demand Performance Using Reinforcement Learning." In Vertical Flight Society 74th Annual Forum & Technology Display. The Vertical Flight Society, 2018. http://dx.doi.org/10.4050/f-0074-2018-12916.

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A reinforcement learning agent is trained to optimally scale the weighting matrices of a linear quadratic regulator for full state feedback control. Training is done using the model-free Deep Deterministic Policy Gradient on a dynamic simulation of the linearized model of an AeroQuad Cyclone ARF quadrotor. In the first task, the reinforcement learning agent is designed to produce an optimal control response for a step input of between 0 and 20 meters. The optimality target is randomly varied between incentivizing low power and incentivizing rapid settling times, and the agent is able to learn
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Bender, Douglas, and Alan Laub. "The linear-quadratic optimal regulator for descriptor systems." In 1985 24th IEEE Conference on Decision and Control. IEEE, 1985. http://dx.doi.org/10.1109/cdc.1985.268642.

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Lessard, Laurent. "Optimal control of a fully decentralized quadratic regulator." In 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2012. http://dx.doi.org/10.1109/allerton.2012.6483198.

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Uddin, Mahtab, M. A. Hakim Khan, and M. Monir Uddin. "Riccati based optimal control for linear quadratic regulator problems." In 2019 5th International Conference on Advances in Electrical Engineering (ICAEE). IEEE, 2019. http://dx.doi.org/10.1109/icaee48663.2019.8975637.

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Gessing, R. "Linear-quadratic regulator with output feedback and optimal observer." In Proceedings of American Control Conference. IEEE, 2001. http://dx.doi.org/10.1109/acc.2001.946409.

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Hariharan, Aishvarya, John Watkins, and M. E. Sawan. "Optimal control in selective catalytic reduction using linear quadratic regulator." In 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2016. http://dx.doi.org/10.1109/mwscas.2016.7870166.

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Gessing, R. "Design of discrete-time linear-quadratic regulator with optimal observer." In 2001 European Control Conference (ECC). IEEE, 2001. http://dx.doi.org/10.23919/ecc.2001.7076462.

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Rezaei, K., and G. Moschopoulos. "Digital controller for Sheppard-Taylor converter using Optimal Linear Quadratic Regulator." In 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2012. http://dx.doi.org/10.1109/ccece.2012.6334981.

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