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Journal articles on the topic 'LQG controller'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Berisha, G. Kassahun, and Parvendra Kumar. "F-16/MATV; Optimal Position Controller Design using Robust and Discrete Linear Quadrature Gaussian [RLQG] Controller." Science & Technology Journal 8, no. 1 (2020): 70–77. http://dx.doi.org/10.22232/stj.2020.08.01.09.

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This paper presents the robust controller design for nonlinear F-16/MATV (Multi–Axis – Thrust - Vectoring) position control system. The linearization of nonlinear flight position system is guaranteed by feedback linearization using Taylor series expansion and the optimal LQG controllers are designed to achieve the steady state flight condition. The comparison of the using continuous and discrete LQG is fully discussed for control system. First the continuous optimal LQG controller is designed for continuous time state space represented flight dynamic system based on separation principle. But t

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Novák, M., J. Böhm, L. Tesař, and P. Nedoma. "Adaptive LQG controller tuning." IEE Proceedings - Control Theory and Applications 150, no. 6 (2003): 655–65. http://dx.doi.org/10.1049/ip-cta:20031028.

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Tayebi, Javad, Amir Ali Nikkhah, and Jafar Roshanian. "LQR/LQG attitude stabilization of an agile microsatellite with CMG." Aircraft Engineering and Aerospace Technology 89, no. 2 (2017): 290–96. http://dx.doi.org/10.1108/aeat-07-2014-0102.

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Purpose The purpose of the paper is to design a new attitude stabilization system for a microsatellite based on single gimbal control moment gyro (SGCMG) in which the gimbal rates are selected as controller parameters. Design/methodology/approach In the stability mode, linear quadratic regulator (LQR) and linear quadratic Gaussian (LQG) control strategies are presented with the gimbal rates as a controller parameters. Instead of developing a control torque to solve the attitude problem, the attitude controller is developed in terms of the control moment gyroscope gimbal angular velocities. Att

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Farid, Djaballah, Si Mohammed M.A., and Boughanmi Nabil. "An implementation of optimal control methods (LQI, LQG, LTR) for geostationary satellite attitude control." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (2019): 4728–37. https://doi.org/10.11591/ijece.v9i6.pp4728-4737.

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This paper investigates a new strategy for geostationary satellite attitude control using Linear Quadratic Gaussian (LQG), Loop Transfer Recovery (LTR), and Linear Quadratic Integral (LQI) control techniques. The sub-system satellite attitude determination and control of a geostationary satellite in the presence of external disturbances, the dynamic model of sub- satellite motion is firstly established by Euler equations. During the flight mission at 35000 Km attitude, the stability characteristics of attitude motion are analyzed with a large margin error of pointing, then a height performance

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Tottori, Takehiro, and Tetsuya J. Kobayashi. "Decentralized Stochastic Control with Finite-Dimensional Memories: A Memory Limitation Approach." Entropy 25, no. 5 (2023): 791. http://dx.doi.org/10.3390/e25050791.

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Decentralized stochastic control (DSC) is a stochastic optimal control problem consisting of multiple controllers. DSC assumes that each controller is unable to accurately observe the target system and the other controllers. This setup results in two difficulties in DSC; one is that each controller has to memorize the infinite-dimensional observation history, which is not practical, because the memory of the actual controllers is limited. The other is that the reduction of infinite-dimensional sequential Bayesian estimation to finite-dimensional Kalman filter is impossible in general DSC, even

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Djaballah, Farid, M. A. Si Mohammed, and Nabil Boughanmi. "An implementation of optimal control methods (LQI, LQG, LTR) for geostationary satellite attitude control." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (2019): 4728. http://dx.doi.org/10.11591/ijece.v9i6.pp4728-4737.

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<p>This paper investigates a new strategy for geostationary satellite attitude control using<strong> </strong>Linear Quadratic Gaussian (LQG), Loop Transfer Recovery (LTR), and Linear Quadratic Integral (LQI) control techniques. The sub-system satellite attitude determination and control of a geostationary satellite in the presence of external disturbances, the dynamic model of sub-satellite motion is firstly established by Euler equations. During the flight mission at 35000 Km attitude, the stability characteristics of attitude motion are analyzed with a large margin error o

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Montenegro-Oviedo, Jhoan Alejandro, Carlos Andres Ramos-Paja, Martha Lucia Orozco-Gutierrez, Edinson Franco-Mejía, and Sergio Ignacio Serna-Garcés. "Design and Experimental Validation of a Battery/Supercapacitor Hybrid Energy Storage System Based on an Adaptive LQG Controller." Applied System Innovation 8, no. 1 (2024): 1. https://doi.org/10.3390/asi8010001.

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Hybrid energy storage systems (HESSs) are essential for adopting sustainable energy sources. HESSs combine complementary storage technologies, such as batteries and supercapacitors, to optimize efficiency, grid stability, and demand management. This work proposes a semi-active HESS formed by a battery connected to the DC bus and a supercapacitor managed by a Sepic/Zeta converter, which has the aim of avoiding high-frequency variations in the battery current on any operation condition. The converter control structure is formed by an LQG controller, an optimal state observer, and an adaptive str

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Mishra, Sonalika, Suchismita Patel, Ramesh Chandra Prusty, and Sidhartha Panda. "MVO optimized hybrid FOFPID-LQG controller for load frequency control of an AC micro-grid system." World Journal of Engineering 17, no. 5 (2020): 675–86. http://dx.doi.org/10.1108/wje-05-2019-0142.

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Purpose This paper aims to implement a maiden methodology for load frequency control of an AC multi micro-grid (MG) by using hybrid fractional order fuzzy PID (FOFPID) controller and linear quadratic Gaussian (LQG). Design/methodology/approach The multi MG system considered is consisting of photovoltaic, wind turbine and a synchronous generator. Different energy storage devices i.e. battery energy storage system and flywheel energy storage system are also integrated to the system. The renewable energy sources suffer from uncertainty and fluctuation from their nominal values, which results in f

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ATANOV, S. K., and А. Z. BIGALIYEVA. "Synthesis of LQG regulator for intelligent control of the technological process of fine grinding." Bulletin of the National Engineering Academy of the Republic of Kazakhstan 4, no. 78 (2020): 22–27. http://dx.doi.org/10.47533/2020.1606-146x.28.

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The article presents the development of a linear-quadratic Gaussian controller (LQG) for intelligent control of the fine grinding technological process. The LQG regulator was designed to control the quality of mill output. The developed LQG controller takes into account external disturbances (process noise) and noise in measurements modeled as white noise with a Gaussian distribution. The controller is developed on the basis of a combination of a stationary linear quadratic controller (LQR) and estimation of the state of the Kalman filter (LQE) in the stationary state by solving the matrix Ric

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ATANOV, S. K., and А. Z. BIGALIYEVA. "Synthesis of LQG regulator for intelligent control of the technological process of fine grinding." Bulletin of the National Engineering Academy of the Republic of Kazakhstan 4, no. 78 (2020): 22–27. http://dx.doi.org/10.47533/2020.1606-146x.28.

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The article presents the development of a linear-quadratic Gaussian controller (LQG) for intelligent control of the fine grinding technological process. The LQG regulator was designed to control the quality of mill output. The developed LQG controller takes into account external disturbances (process noise) and noise in measurements modeled as white noise with a Gaussian distribution. The controller is developed on the basis of a combination of a stationary linear quadratic controller (LQR) and estimation of the state of the Kalman filter (LQE) in the stationary state by solving the matrix Ric

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Ma, Shu Yuan, Bdran Sameh, Saifullah Samo, and Aymn Bary. "Improvement Shifting Control of Continuously Variable Transmission (CVT) by Using PID, Pole Placement and LQG." Applied Mechanics and Materials 446-447 (November 2013): 1165–70. http://dx.doi.org/10.4028/www.scientific.net/amm.446-447.1165.

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In this paper, the CVT shifting control system based on vehicle operating conditions is modeled and simulated using MATLAB/SIMULINK. The modeling stage begins with the derivation of required mathematical model to illustrate the CVT shifting control system. Then, Linear Quadratic Gaussian (LQG), Proportional- Integrated-Derivative (PID) and Pole Placement are applied for controlling the shifting speed ratio of the modeled CVT shifting system. Simulation results of shifting controllers are presented in time domain and the results obtained with LQG are compared with the results of PID and Pole pl

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El Haj, Youssef, and Vijay K. Sood. "Linear Quadratic Gaussian Controller for Single-Ended Primary Inductor Converter via Integral Linear Quadratic Regulator Merged with an Offline Kalman Filter." Energies 17, no. 14 (2024): 3385. http://dx.doi.org/10.3390/en17143385.

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This paper introduces a Linear Quadratic Gaussian (LQG) controller for a Single-Ended Primary Inductor Converter (SEPIC). The LQG design is based on merging an integral Linear Quadratic Regulator (LQR) with an offline Kalman Filter (commonly referred to as a Linear Quadratic Estimator (LQE)). The robustness of the LQG controller is guaranteed based on the separation principle. This manuscript addresses the need to use observer-based systems for the fourth-order SEPIC, which needs a sensor reduction as an essential requirement. This paper provides a comprehensive, yet systematic, approach to de

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Ulsoy, A. G., D. Hrovat, and T. Tseng. "Stability Robustness of LQ and LQG Active Suspensions." Journal of Dynamic Systems, Measurement, and Control 116, no. 1 (1994): 123–31. http://dx.doi.org/10.1115/1.2900666.

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A two-degree-of-freedom quarter-car model is used as the basis for linear quadratic (LQ) and linear quadratic Gaussian (LQG) controller design for an active suspension. The LQ controller results in the best rms performance trade-offs (as defined by the performance index) between ride, handling and packaging requirements. In practice, however, all suspension states are not directly measured, and a Kalman filter can be introduced for state estimation to yield an LQG controller. This paper (i) quantifies the rms performance losses for LQG control as compared to LQ control, and (ii) compares the L

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Hsiao, Min-Hung, Jen-Kuang Huang, and David E. Cox. "Iterative LQG Controller Design Through Closed-Loop Identification." Journal of Dynamic Systems, Measurement, and Control 118, no. 2 (1996): 366–72. http://dx.doi.org/10.1115/1.2802331.

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This paper presents an iterative LQG controller design approach for a linear stochastic system with an uncertain openloop model and unknown noise statistics. This approach consists of closed-loop identification and controller redesign cycles. In each cycle, the closed-loop identification method is used to identify an open-loop model and a steady-state Kalman filter gain from closed-loop input/output test data obtained by using a feedback LQG controller designed from the previous cycle. Then the identified open-loop model is used to redesign the state feedback. The state feedback and the identi

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Mohammed, Ibrahim Khalaf, and Mohanad N. Noaman. "Optimal Control Approach for Robot System Using LQG Technique." Journal Européen des Systèmes Automatisés 55, no. 5 (2022): 671–77. http://dx.doi.org/10.18280/jesa.550513.

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A two-wheeled self-balancing robot system bases on the physical problem of an inverted pendulum. Stabilization of this type of mobile robot requires applying an active control approach. This paper proposes an efficient Linear Quadratic Gaussian (LQG) optimal control for the two-wheeled robot system. The LQG (a combination of a Kalman Filter (KF) and Linear Quadratic Regulator (LQR)) controller is designed to stabilize the robot while reducing the effect of the process and measurement noises on its performance. The LQG controller parameters (elements of state and control weighting matrices of t

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Havlena, Vladimír, and Jan Štecha. "LQ/LQG CONTROLLER FOR PARALLEL MODELS." IFAC Proceedings Volumes 35, no. 1 (2002): 151–55. http://dx.doi.org/10.3182/20020721-6-es-1901.00106.

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Wang, Yong, Qiangang Zheng, Haibo Zhang, and Mingyang Chen. "The LQG/LTR control method for turboshaft engine with variable rotor speed based on torsional vibration suppression." Journal of Low Frequency Noise, Vibration and Active Control 39, no. 4 (2019): 1145–58. http://dx.doi.org/10.1177/1461348419847010.

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In order to realize the rapid response control for turboshaft engine during the process of variable rotor speed, the linear quadratic Gaussian with loop transfer recovery (LQG/LTR) control method for turboshaft engine based on torsional vibration suppression is proposed. Firstly, the two-speed dual clutch transmission model is applied to realize the variable rotor speed of helicopter. Then, based on the state variable model of turboshaft engine, the proper LQG/LTR controller is available. In order to eliminate the limitation of low-order torsional vibration on the bandwidth of LQG/LTR controll

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18

Liu, Hong Li, Qi Xin Zhu, and Yan Ping Wang. "LQG Output Feedback Control of Multi-Rate Networked Control Systems." Advanced Materials Research 433-440 (January 2012): 4101–7. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.4101.

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Networked control systems with single-rate mode means the sampling periods of sensor, controller and actuator are the same. Networked control systems with multi-rate mode means the sampling periods of sensor, controller and actuator are not the same. Networked control systems with single-rate mode are called single-rate networked control systems; networked control systems with multi-rate mode are called multi-rate networked control systems. The optimal estimator and LQG output feedback controller of multi-rate linear networked control systems are presented when the system has partial state inf

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Lin, Wei, Shang Hong Chen, and Li Qiong Deng. "LQG Modal Control on Spatial Structures Using MR Damper." Advanced Materials Research 250-253 (May 2011): 2451–54. http://dx.doi.org/10.4028/www.scientific.net/amr.250-253.2451.

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In recent years, the magnetorheological (MR) fluid damper-based semiactive control systems have received considerable attention for protecting structures against natural hazards such as strong earthquakes and high winds. In this paper, an improved modal controller integrated with a Kalman-filter observer is proposed for vibration control of spatial structures. The proposed modal controller can reduce the dimension of the control equation and thus can relieve the calculation burden greatly. In the proposed control system, a Kalman-filter observer, which estimates the full controlled modal state

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Li, Baichun, Utkarsh Sinha, and Ganesh Sankaranarayanan. "Modelling and control of non-linear tissue compression and heating using an LQG controller for automation in robotic surgery." Transactions of the Institute of Measurement and Control 38, no. 12 (2016): 1491–99. http://dx.doi.org/10.1177/0142331215596062.

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Robot-assisted surgery is being widely used as an effective approach to improve the performance of surgical procedures. Autonomous control of surgical robots is essential for tele-surgery with time delay and increased patient safety. In order to improve safety and reliability of the surgical procedure of tissue compression and heating, a control strategy for simultaneously automating the surgical task is presented in this paper. First, the electrosurgical procedure such as vessel closure that involves tissue compression and heating has been modelled with a multiple-input–multiple-output (MIMO)

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Nkemdirim, Chimezirim Miracle, Mohamad Alzayed, and Hicham Chaoui. "Linear Quadratic Gaussian Control of a 6-DOF Aircraft Landing Gear." Energies 16, no. 19 (2023): 6902. http://dx.doi.org/10.3390/en16196902.

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The suspension system of the aircraft, provided by the landing gear, is a crucial part of landing, take-off, and taxiing. It is important that this suspension system not only adequately supports the airframe of the aircraft but also provides a comfortable, seamless ride for the passengers. However, the landing gear is usually riddled with issues, such as landing vibrations that affect passenger comfort and cause damage to the aircraft’s airframe. To reduce these vibrations, this paper proposes the use of a Linear Quadratic Gaussian (LQG) controller to control a 6-DOF aircraft landing gear. The

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SZABOLCSI, Róbert. "ROBUST LQG CONTROLLER DESIGN FOR THE SMALL UNMANNED AERIAL VEHICLE." Review of the Air Force Academy 16, no. 1 (2018): 31–38. http://dx.doi.org/10.19062/1842-9238.2018.16.1.5.

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Sopegno, Laura, Patrizia Livreri, Margareta Stefanovic, and Kimon P. Valavanis. "Thrust Vector Controller Comparison for a Finless Rocket." Machines 11, no. 3 (2023): 394. http://dx.doi.org/10.3390/machines11030394.

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The paper focuses on comparing applicability, tuning, and performance of different controllers implemented and tested on a finless rocket during its boost phase. The objective was to evaluate the advantages and disadvantages of each controller, such that the most appropriate one would then be developed and implemented in real-time in the finless rocket. The compared controllers were Linear Quadratic Regulator (LQR), Linear Quadratic Gaussian (LQG), and Proportional Integral Derivative (PID). To control the attitude of the rocket, emphasis is given to the Thrust Vector Control (TVC) component (

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Kadhem, Basim. "Using a Reduced Order Robust Control Approach to Damp Subsynchronous Resonance in Power Systems." Iraqi Journal for Electrical and Electronic Engineering 19, no. 1 (2022): 29–37. http://dx.doi.org/10.37917/ijeee.19.1.4.

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his work focuses on the use of the Linear Quadratic Gaussian (LQG) technique to construct a reliable Static VAr Compensator (SVC), Thyristor Controlled Series Compensator (TCSC), and Excitation System controller for damping Subsynchronous Resonance ( SSR ) in a power system. There is only one quantifiable feedback signal used by the controller (generator speed deviation). It is also possible to purchase this controller in a reduced-order form. The findings of the robust control are contrasted with those of the “idealistic” full state optimal control. The LQG damping controller’s regulator robu

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Sheng, Yan, Chao Wang, Ying Pan, and Xinhua Zhang. "Modified LQG/LTR Control Methodology in Active Structural Control." Journal of Low Frequency Noise, Vibration and Active Control 22, no. 2 (2003): 97–108. http://dx.doi.org/10.1260/026309203322770347.

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This paper presents a new active structural control design methodology comparing the conventional linear-quadratic-Gaussian synthesis with a loop-transfer-recovery (LQG/LTR) control approach for structures subjected to ground excitations. It results in an open-loop stable controller. Also the closed-loop stability can be guaranteed. More importantly, the value of the controller's gain required for a given degree of LTR is orders of magnitude less than what is required in the conventional LQG/LTR approach. Additionally, for the same value of gain, the proposed controller achieves a much better

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Setiawan, Paulus, Linda Meilani, Denny Dermawan, Freddy Kurniawan, and Okto Dinaryanto. "Study of Permanent Magnet Synchronous Motor With LQG Controller and Observer On The Hydraulic Pump System." Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) 17, no. 2 (2023): 41–52. http://dx.doi.org/10.21776/jeeccis.v17i2.1637.

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In today's aircraft industry, the flight control system and landing gear system cannot be separated from the role of the hydraulic technology system. As the prime mover of the hydraulic pump or actuator hydraulic system, a permanent magnet synchronous motor (PMSM) is used. This PMSM is a substitute for the role of conventional combustion engines, and PMSM is considered to have several advantages in increasing performance and efficiency. This research will develop a system to find parameter values for Linear Quadratic Gaussian (LQG) controllers in a hydraulic pump system that is installed as a

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Vijay Kumar, C. V., Gundala Srinivasa Rao, G. Sri Kavya, K. Pavan, R. Murali, and G. Meerimatha. "Servo Control of Shunt-Active Power Filters Using Kalman Filter With DC-Link Reference." E3S Web of Conferences 619 (2025): 03015. https://doi.org/10.1051/e3sconf/202561903015.

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LQG servo controllers may regulate current flow in a SAPF (shunt-active power filter) provided by a balanced or unbalanced supply voltage. Balanced or uneven supply voltages power the SAPF. The LQG controller’s Kalman filter (KF) and LQ regulator decrease output current inaccuracy and variability. LQG servo controller feedback compensators increase SAPF system tracking accuracy, gain stability, amplitude distortion, and sensitivity. This research study proposes a KF-based reference current generating technique to simplify proportional integral controller gain adjustment and remove voltage sens

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Mitov, Alexander, Jordan Kralev, Tsonyo Slavov, and Ilcho Angelov. "Comparison of Model Predictive Control (MPC) and Linear-Quadratic Gaussian (LQG) Algorithm for Electrohydraulic Steering Control System." E3S Web of Conferences 207 (2020): 04001. http://dx.doi.org/10.1051/e3sconf/202020704001.

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The paper compares the performance of two embedded controllers applied in electrohydraulic steering systems – model predictive controller (MPC) and linear-quadratic Gaussian (LQG) controller with Kalman filtering for state estimation. Both controllers are designed on the basis of single input multiple output “black box” model obtained via identification approach. The controllers are implemented into industrial logic controller for mobile applications and their workability is experimentally checked with a laboratory model of a steering system for non-road mobile machinery. The results correspon

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Dong, Yunhui, Yingqing Guo, Jiale He, Pengfei Guo, and Wanli Zhao. "Multivariable steady-state control of variable cycle engine based on LQG/LTR." Journal of Physics: Conference Series 2472, no. 1 (2023): 012057. http://dx.doi.org/10.1088/1742-6596/2472/1/012057.

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Abstract In order to improve the steady-state control performance of variable cycle engine, a steady-state multivariable control method based on LQG/LTR is proposed in this paper. The working characteristics and control laws of variable cycle engine are analyzed, and the linearized model of engine design point is obtained by system identification. Based on the LQG/LTR control method and the linear model, a multivariable steady-state controller for the variable cycle engine is designed. Through simulation verification and comparison with the control performance of the three-loop univariate PI c

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Liu, Yi Fang, Ling Yun Wang, De Zhi Wu, and Dao Heng Sun. "Emulated Analysis of the Preview-LQG Controller for Micromachined Tunneling Gyroscope." Key Engineering Materials 503 (February 2012): 318–23. http://dx.doi.org/10.4028/www.scientific.net/kem.503.318.

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Only when the tunneling gap is maintained near 10Å can the micromachined tunneling gyroscope operate regularly to generate tunneling current which is so weak that it would be submerged by the thermal-mechanical noise, 1/f tunneling noise and so on. At the meantime, the dynamic range of the device will be reduced drastically by the nonlinearity of the tunneling effect. So a controller must be designed for the miniature tunneling gyroscope to realize a 10 Å tunneling gap to decrease the nonlinearity and so as to enlarge the band-width of the device. At the other hand, the signal-to-noise ratio c

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Li, Jin Hui, Jie He, and Xu Hong Li. "LQG Controller Design for Heavy Vehicle Active Suspension Based on OT-AHP Method." Applied Mechanics and Materials 509 (February 2014): 206–12. http://dx.doi.org/10.4028/www.scientific.net/amm.509.206.

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In order to develop more scientific LQG (Linear-Quadratic Gaussian) optimal controller of vehicle active suspension, based on vehicle systme dynamics and modern control theory, the LQG controller of one 4-dof active suspension vehicle model was presented. And the index weighting coefficiens in LQG controller were rationally determind by AHP (Analytic Hierarchy Process) method. Based on this, for furtherly improving vehicle performanc, the subjective important degrees in AHP method were optimized by OT (Othogonal Test) method which took the linear weighted sum of ride comfort and road friendlin

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Nguyen, Duc-Anh-Quan, Luu-Quang-Thinh Nguyen, Hoang-Anh Nguyen, et al. "Application of LQG Control for Pendubot System." Journal of Fuzzy Systems and Control 2, no. 1 (2024): 40–44. https://doi.org/10.59247/jfsc.v2i1.171.

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The paper focuses on the study of the Pendubot system, a classic system widely used in control research, particularly the 2-link Pendubot. This system is nonlinear with a single input and multiple outputs (SIMO) and is under-actuated. The paper addresses the challenges of applying optimal Linear Quadratic Regulator (LQR) control to Pendubot, requiring an accurate model without noise. The author proposes using a Kalman filter to estimate the system's state variables and mitigate the impact of noise. Subsequently, the LQR controller is applied based on the estimated state variables. Thus, the st

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Curtain, R. F. "A robust LQG-controller design for DPS." International Journal of Control 79, no. 2 (2006): 162–70. http://dx.doi.org/10.1080/00207170500512985.

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BRUYNE, F. DE, B. D. O. ANDERSON, and M. GEVERS. "On Plant and LQG Controller Continuity Questions." Automatica 34, no. 5 (1998): 631–35. http://dx.doi.org/10.1016/s0005-1098(98)00005-3.

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Hautus, M. L. J., and L. L. M. van Der Wegen. "Multipurpose controller synthesis in LQG optimal systems." IEE Proceedings D Control Theory and Applications 135, no. 4 (1988): 329. http://dx.doi.org/10.1049/ip-d.1988.0046.

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Chen, Bor-Sen, and Wen-June Wang. "Multipurpose controller synthesis in LQG optimal systems." IEE Proceedings D Control Theory and Applications 135, no. 4 (1988): 330. http://dx.doi.org/10.1049/ip-d.1988.0047.

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Tay, T. T., and J. B. Moore. "Adaptive lqg controller with loop transfer recovery." International Journal of Adaptive Control and Signal Processing 5, no. 2 (1991): 135–49. http://dx.doi.org/10.1002/acs.4480050206.

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Abdulla, I. Abdulla, and K. Mohammed Ibrahim. "Aircraft pitch control design using LQG controller based on genetic algorithm." TELKOMNIKA (Telecommunication, Computing, Electronics and Control) 21, no. 2 (2023): 409–17. https://doi.org/10.12928/telkomnika.v21i2.22051.

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Designing a robust aircraft control system used to achieve a good tracking performance and stable dynamic behavior against working disturbances problem has attracted attention of control engineers. In this paper, a pitch angle control system for aircraft is designed utilizing liner quadratic Gaussian (LQG) optimal controller technique with a numerical tuning algorithm method in the longitudinal plane through cruising stage. Main design approach of LQG controller includes obtaining best weighting matrices values using trial and error method that consumes effort and takes more time, in addition,

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Pang, Hui, Ying Chen, JiaNan Chen, and Xue Liu. "Design of LQG Controller for Active Suspension without Considering Road Input Signals." Shock and Vibration 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/6573567.

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As the road conditions are completely unknown in the design of a suspension controller, an improved linear quadratic and Gaussian distributed (LQG) controller is proposed for active suspension system without considering road input signals. The main purpose is to optimize the vehicle body acceleration, pitching angular acceleration, displacement of suspension system, and tire dynamic deflection comprehensively. Meanwhile, it will extend the applicability of the LQG controller. Firstly, the half-vehicle and road input mathematical models of an active suspension system are established, with the w

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Slavov, Tsonyo N., Jordan K. Kralev, and Petko H. Petkov. "The Two-Wheeled Robot: Experimental Evaluation of Two Controllers." IOP Conference Series: Materials Science and Engineering 1317, no. 1 (2024): 012010. http://dx.doi.org/10.1088/1757-899x/1317/1/012010.

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Abstract In this paper we present the theoretical and experimental comparison of two digital controllers intended for stabilization of a two-wheeled robot. The properties of an LQG controller and an LQR controller with H ∞ filter are evaluated. Using the μ-analysis, we show that both controllers ensure robust stability of the closed-loop system in the presence of unstructured uncertainty. The results from the closed-loop system experimental evaluation confirm the precise work of both controllers.

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OR, A. C., L. CORTELEZZI, and J. L. SPEYER. "Robust feedback control of Rayleigh–Bénard convection." Journal of Fluid Mechanics 437 (June 22, 2001): 175–202. http://dx.doi.org/10.1017/s0022112001004256.

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We investigate the application of linear-quadratic-Gaussian (LQG) feedback control, or, in modern terms, [Hscr ]2 control, to the stabilization of the no-motion state against the onset of Rayleigh–Bénard convection in an infinite layer of Boussinesq fluid. We use two sensing and actuating methods: the planar sensor model (Tang & Bau 1993, 1994), and the shadowgraph model (Howle 1997a). By extending the planar sensor model to the multi-sensor case, it is shown that a LQG controller is capable of stabilizing the no-motion state up to 14.5 times the critical Rayleigh number. We characterize t

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MIRZA, K. Z. "Linear Quadratic Gaussian Regulator for the Nonlinear Observer-Based Control of a Dynamic Base Inverted Pendulum." INCAS BULLETIN 13, no. 3 (2021): 79–90. http://dx.doi.org/10.13111/2066-8201.2021.13.3.7.

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The inverted pendulum is a non-linear control problem permanently tending towards instability. The main aim of this study is to design a controller capable enough to work within the given conditions while also keeping the pendulum erect given the impulsive movement of the cart to which it is joint via a hinge. The first half of the paper presents the mathematical modelling of the dynamic system, together with the design of a linear quadratic regulator (LQR). This paper also discusses a novel adaptive control mechanism employing a Kalman filter for the mobile inverted pendulum system (MIPS). In

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Shi, Guojun, and Robert E. Skelton. "Markov Data-Based LQG Control1." Journal of Dynamic Systems, Measurement, and Control 122, no. 3 (1998): 551–59. http://dx.doi.org/10.1115/1.1286868.

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In this paper the Markov data-based LQG control problem is considered. The Markov data-based LQG control problem is to find the optimal control sequence which minimizes a quadratic cost function over some finite interval [0, N]. To solve this problem, we show that a complete input-output description of the system is not necessary. Obviously, a complete state space model is not necessary for this problem either. The main contributions of this paper include: (i) develop a new data-based LQG controller in a recursive form and a batch-form, (ii) derive a closed-form expression for the system’s opt

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Jiang, Jie, and Changlin Ma. "Comprehensive Control of Networked Control Systems with Multistep Delay." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/814245.

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In networked control systems with multi-step delay, long time-delay causes vacant sampling and controller design difficulty. In order to solve the above problems, comprehensive control methods are proposed in this paper. Time-delay compensation control and linear-quadratic-Guassian (LQG) optimal control are adopted and the systems switch different controllers between two different states. LQG optimal controller is used with probability1-αin normal state, which is shown to render the systems mean square exponentially stable. Time-delay compensation controller is used with probabilityαin abnorma

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Camino, J. F., and I. F. Santos. "A periodic linear–quadratic controller for suppressing rotor-blade vibration." Journal of Vibration and Control 25, no. 17 (2019): 2351–64. http://dx.doi.org/10.1177/1077546319853358.

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This paper presents an active control strategy, based on a time-varying linear–quadratic optimal control problem, to attenuate the tip vibration of a two-dimensional coupled rotor-blade system whose dynamics is periodic. First, a periodic full-state feedback controller based on the linear–quadratic regulator (LQR) problem is designed. If all the states are not available for feedback, then an optimal periodic time-varying estimator, using the Kalman–Bucy filter, is computed. Both the Kalman filter gain and the LQR gain are obtained as the solution of a periodic Riccati differential equation (PR

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Zhu, Guoming, and Robert E. Skelton. "A Two-Riccati, Feasible Algorithm for Guaranteeing Output L∞ Constraints." Journal of Dynamic Systems, Measurement, and Control 114, no. 3 (1992): 329–38. http://dx.doi.org/10.1115/1.2897352.

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In the presence of all disturbances whose outer products are bounded by a known matrix N, this paper develops controllers to minimize the control L∞ norm bound subject to L∞ constraints on each output, the resulting controller is an LQG controller with a special choice of the output weight matrix and input noise intensity matrix, that are both iterated. The design algorithm turns out to be feasible if the algorithm converges.

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White, Langford B., and Belinda A. Chiera. "An adaptive LQG TCP congestion controller for the Internet." Journal of Telecommunications and Information Technology, no. 1 (March 30, 2006): 30–37. http://dx.doi.org/10.26636/jtit.2006.1.360.

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This paper addresses the problem of congestion control for transmission control protocol (TCP) traffic in the Internet. The method proposed builds on the ideas of TCP Vegas, a true feedback control approach to congestion management of TCP traffic. The new method is based on an adaptive linear quadratic Gaussian (LQG) formulation which uses an extended least squares system identification algorithm com- bined with optimal LQG control. Simulation experiments indicate that the new technique inherits good equilibrium properties from TCP Vegas, but has much superior transient responses which, the pa

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WANG, WEN-JUNE, and TSU-TIAN LEE. "Multipurpose controller synthesis in discrete LQG optimal systems." International Journal of Control 46, no. 3 (1987): 1105–18. http://dx.doi.org/10.1080/00207178708547415.

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Iftar, A., and U. Ozguner. "Local LQG/LTR controller design for decentralized systems." IEEE Transactions on Automatic Control 32, no. 10 (1987): 926–30. http://dx.doi.org/10.1109/tac.1987.1104451.

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EL-Hossainy, Mohammad, Raafat Shalaby, and Belal Abo-Zalam. "Modified PDOS-based LQG Controller for Inverted Pendulum." Menoufia Journal of Electronic Engineering Research 28, no. 1 (2019): 19–44. http://dx.doi.org/10.21608/mjeer.2019.62719.

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