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Artykuły w czasopismach na temat "Linear Quadratic Regulator"

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Alexandrova, Mariela, Nasko Atanasov, Ivan Grigorov, and Ivelina Zlateva. "Linear Quadratic Regulator Procedure and Symmetric Root Locus Relationship Analysis." International Journal of Engineering Research and Science 3, no. 11 (2017): 27–33. http://dx.doi.org/10.25125/engineering-journal-ijoer-nov-2017-7.

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CS, Vishnu, and Riya Mary Francis. "Speed Control of BLDC Motor by Using Tuned Linear Quadratic Regulator." International Journal of Scientific Engineering and Research 3, no. 8 (2015): 36–40. https://doi.org/10.70729/ijser15383.

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Khlebnikov, M. V., and P. S. Shcherbakov. "Linear Quadratic Regulator: II. Robust Formulations." Automation and Remote Control 80, no. 10 (2019): 1847–60. http://dx.doi.org/10.1134/s0005117919100060.

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Vissio, Giacomo, Duarte Valério, Giovanni Bracco, Pedro Beirão, Nicola Pozzi, and Giuliana Mattiazzo. "ISWEC linear quadratic regulator oscillating control." Renewable Energy 103 (April 2017): 372–82. http://dx.doi.org/10.1016/j.renene.2016.11.046.

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Ochi, Y., and K. Kanai. "Eigenstructure Assignment for Linear Quadratic Regulator." IFAC Proceedings Volumes 29, no. 1 (1996): 1098–103. http://dx.doi.org/10.1016/s1474-6670(17)57811-8.

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Sairoel, Amertet Finecomes, L. Gebre Fisseha, M. Mesene Abush, and Abebaw Solomon. "Optimization of automobile active suspension system using minimal order." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 3 (2022): 2378–92. https://doi.org/10.11591/ijece.v12i3.pp2378-2392.

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This paper presents an analysis and design of linear quadratic regulator for reduced order full car suspension model incorporating the dynamics of the actuator to improve system performance, aims at benefiting: Ride comfort, long life of vehicle, and stability of vehicle. Vehicle’s road holding or handling and braking for good active safety and driving pleasure and keeping vehicle occupants comfortable and reasonably well isolated from road noise, bumps, and vibrations are become a key research area conducted by many researchers around the globe. Different researchers were tested effecti
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Danas, Aidil, Heru Dibyo Laksono, and Syafii . "Perbaikan Kestabilan Dinamik Sistem Tenaga Listrik Multimesin dengan Metoda Linear Quadratic Regulator." Jurnal Nasional Teknik Elektro 2, no. 2 (2013): 72–78. http://dx.doi.org/10.20449/jnte.v2i2.88.

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Wu, Guangyu, Lu Xiong, Gang Wang, and Jian Sun. "Linear Quadratic Regulator of Discrete-Time Switched Linear Systems." IEEE Transactions on Circuits and Systems II: Express Briefs 67, no. 12 (2020): 3113–17. http://dx.doi.org/10.1109/tcsii.2020.2973302.

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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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NAKAJIMA, Kyohei, Koichi KOBAYASHI, and Yuh YAMASHITA. "Linear Quadratic Regulator with Decentralized Event-Triggering." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E100.A, no. 2 (2017): 414–20. http://dx.doi.org/10.1587/transfun.e100.a.414.

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Rozprawy doktorskie na temat "Linear Quadratic Regulator"

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Mouadeb, Abdu-Nasser R. "Extension of linear quadratic regulator theory and its applications." Thesis, University of Ottawa (Canada), 1992. http://hdl.handle.net/10393/7535.

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Linear Quadratic Regulatory theory (L.Q.R.) has received widespread application due to its simplicity and also due to the fact that the control provided this by theory is linear in form. These features make the implication of feedback control and easy task. In contrast, nonlinear regulation lack those attractive features enjoyed by the linear regulator. Moreover, in order to obtain the feedback control, one has to solve Hamilton-Jacobi-Bellman equation which is not an easy task. Also, if solution can be obtained, implementation is not always practical. In this work, we extend the Linear Quadra
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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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Khalid, Muhammad Salman. "Linear Quadratic Regulator and Receding Horizon Control for Constrained Systems." Thesis, University of Sheffield, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.515489.

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Aravinthan, Abhiramy. "Linear quadratic regulator design for doubly fed induction generator using singular perturbation techniques." Thesis, Wichita State University, 2012. http://hdl.handle.net/10057/5523.

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Doubly fed induction generators (DFIG) are widely used in wind power generation because of their ability to be operated at varying rotational speeds while producing power output at a constant frequency. Electrical dynamics of a DFIG is modeled using field oriented control and represented as fourth order system. This fourth order dynamics exposes a two-time scale behavior. Using singular perturbation techniques the time scales can be separated as slow and fast subsystems. Feedback control schemes can be designed and the closed-loop stability of each model can be compared. In this work, a linear
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Nelson, Karen E. (Karen Elizabeth) M. Eng Massachusetts Institute of Technology. "Active control of tensegrity structures and its applications using Linear Quadratic Regulator algorithms." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66845.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 61-62).<br>The concept of responsive architecture has inspired the idea structures which are adaptable and change in order to better fit the user. This idea can be extended to structural engineering with the implementing of structures which change to better take on their external loading. The following text explores the utilization of active control for tensegrity systems in order to achieve an adaptable
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Uddin, Md Mosleh. "Active Vibration Control of Helicopter Rotor Blade by Using a Linear Quadratic Regulator." ScholarWorks@UNO, 2018. https://scholarworks.uno.edu/td/2499.

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Active vibration control is a widely implemented method for the helicopter vibration control. Due to the significant progress in microelectronics, this technique outperforms the traditional passive control technique due to weight penalty and lack of adaptability for the changing flight conditions. In this thesis, an optimal controller is designed to attenuate the rotor blade vibration. The mathematical model of the triply coupled vibration of the rotating cantilever beam is used to develop the state-space model of an isolated rotor blade. The required natural frequencies are determined by the
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Bushong, Philip Merton. "A multi-loop guidance scheme using singular perturbation and linear quadratic regulator techniques simultaneously." Diss., This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-07282008-135643/.

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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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Bagheri, Shahriar. "Modeling, Simulation and Control System Design for Civil Unmanned Aerial Vehicle (UAV)." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-96458.

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Unmanned aerial systems have been widely used for variety of civilian applications over the past few years. Some of these applications require accurate guidance and control. Consequently, Unmanned Aerial Vehicle (UAV) guidance and control attracted many researchers in both control theory and aerospace engineering. Flying wings, as a particular type of UAV, are considered to have one of the most efficient aerodynamic structures. It is however difficult to design robust controller for such systems. This is due to the fact that flying wings are highly sensitive to control inputs. The focus of thi
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Alvarez, Genesis Barbie. "Control Design for a Microgrid in Normal and Resiliency Modes of a Distribution System." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/94627.

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As inverter-based distributed energy resources (DERs) such as photovoltaic (PV) and battery energy storage system (BESS) penetrate within the distribution system. New challenges regarding how to utilize these devices to improve power quality arises. Before, PV systems were required to disconnect from the grid during a large disturbance, but now smart inverters are required to have dynamically controlled functions that allows them to remain connected to the grid. Monitoring power flow at the point of common coupling is one of the many functions the controller should perform. Smart inverters can
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Książki na temat "Linear Quadratic Regulator"

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Rosen, I. G. On the continuous dependence with respect to sampling of the linear quadratic regulator problem for distributed parameter systems. Institute for Computer Applications in Science and Engineering, 1990.

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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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Daiuto, Brian J., Tom T. Hartley, and Stephen P. Chicatelli, eds. The Hyperbolic Map and Applications to the Linear Quadratic Regulator. Springer-Verlag, 1989. http://dx.doi.org/10.1007/bfb0042968.

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Daiuto, Brian J. The Hyperbolic Map and Applications to the Linear Quadratic Regulator. Springer Berlin Heidelberg, 1989.

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1964-, Hartley T. T., and Chicatelli S. P. 1964-, eds. The hyperbolic map and applications to the linear quadratic regulator. Springer-Verlag, 1989.

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Jones, Mark T. A language comparison for scientific computing on MIMD architectures. ICASE, 1989.

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Marc, Buchner, and United States. National Aeronautics and Space Administration., eds. A parametric LQ approach to multiobjective control system design. NASA, 1988.

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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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Banks, H. Thomas. A numerical algorithm for optimal feedback gains in high dimensional LQR problems. 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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Części książek na temat "Linear Quadratic Regulator"

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Munasinghe, Sudath Rohan. "Linear Quadratic Regulator." In Engineering Optimization: Methods and Applications. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-8167-6_7.

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Björk, Tomas, Mariana Khapko, and Agatha Murgoci. "The Linear Quadratic Regulator." In Springer Finance. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81843-2_3.

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Aykent, Baris. "Linear Quadratic Regulator (LQR)." In Studies in Systems, Decision and Control. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85689-1_3.

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Hajiyev, Chingiz, Halil Ersin Soken, and Sıtkı Yenal Vural. "Linear Quadratic Regulator Controller Design." In State Estimation and Control for Low-cost Unmanned Aerial Vehicles. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16417-5_10.

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Mohammadi, Hesameddin, Mahdi Soltanolkotabi, and Mihailo R. Jovanović. "Model-Free Linear Quadratic Regulator." In Handbook of Reinforcement Learning and Control. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60990-0_6.

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Björk, Tomas, Mariana Khapko, and Agatha Murgoci. "The Inconsistent Linear Quadratic Regulator." In Springer Finance. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81843-2_19.

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Björk, Tomas, Mariana Khapko, and Agatha Murgoci. "The Continuous-Time Linear Quadratic Regulator." In Springer Finance. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81843-2_12.

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Delchamps, David F. "The Discrete-Time Linear Quadratic Regulator Problem." In State Space and Input-Output Linear Systems. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-3816-4_27.

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Delchamps, David F. "The Continuous-Time Linear Quadratic Regulator Problem." In State Space and Input-Output Linear Systems. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-3816-4_28.

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Munje, Ravindra, Balasaheb Patre, and Akhilanand Tiwari. "State Feedback Control Using Linear Quadratic Regulator." In Energy Systems in Electrical Engineering. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3014-7_4.

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Streszczenia konferencji na temat "Linear Quadratic 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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Toso, Leonardo F., Han Wang, and James Anderson. "Asynchronous Heterogeneous Linear Quadratic Regulator Design." In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10885806.

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Li, Wanyi, Yinghui Zhu, and Zhongxing Peng. "Impact of Redundant Inputs on Octorotor Using Linear Quadratic Regulator." In 2024 International Conference on Intelligent Computing and Data Mining (ICDM). IEEE, 2024. http://dx.doi.org/10.1109/icdm63232.2024.10762504.

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Sha, Xingyu, and Keyou You. "Asynchronous Block Parallel Policy Optimization for the Linear Quadratic Regulator*." In 2024 American Control Conference (ACC). IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10645010.

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Al Ghifari, Ahmad Musthafa, Dimitri Mahayana, and Agung Harsoyo. "Data-Driven Linear Quadratic Regulator using LightGBM for Quadcopter Control." In 2024 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS). IEEE, 2024. http://dx.doi.org/10.1109/i2cacis61270.2024.10649852.

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Tran, Van-Si, Chi-Hung Nguyen, Tuan-Anh Duong, et al. "Comparative Study of Linear Quadratic Gaussian and Linear Quadratic Regulator Controllers for Rotary Double Inverted Pendulum in Parallel Type." In 2024 7th International Conference on Green Technology and Sustainable Development (GTSD). IEEE, 2024. http://dx.doi.org/10.1109/gtsd62346.2024.10675248.

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Garg, Raghav, Amit Mittal, Karimulla Syed, Mohammed Asim, Abhishek Chakravorty, and Shweta Goyal. "Linear Quadratic Regulator (LQR)-Based Load Frequency Control in Power Systems." In 2024 2nd World Conference on Communication & Computing (WCONF). IEEE, 2024. http://dx.doi.org/10.1109/wconf61366.2024.10692249.

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Li, Qiang, Wenwu Fan, and Junlin Xiong. "Inverse Linear Quadratic Regulator Problem for Discrete-Time Systems via LMI." In 2024 3rd International Conference on Automation, Robotics and Computer Engineering (ICARCE). IEEE, 2024. https://doi.org/10.1109/icarce63054.2024.00071.

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Rasuanta, Muhammad Putra, Maristya Rahmadiansyah, Tinova Pramudya, et al. "The Robustness of Linear Quadratic Regulator (LQR) and Linear Quadratic Regulator Tracker (LQRT) Cascaded With Line-Of-Sight (LOS) Guidance Law for Quadrotor to Accomplish SAR Mission." In 2024 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET). IEEE, 2024. https://doi.org/10.1109/icramet62801.2024.10809250.

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Carlos, Hugo, Jean-Bernard Hayer, and Rafael Murrieta-Cid. "Regression-Based Linear Quadratic Regulator." In 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018. http://dx.doi.org/10.1109/icra.2018.8460479.

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