Results 51 to 60 of about 14,071 (249)
Design of LQG Controller for Nuclear Reactor Power Based on NSGA-Ⅱ Algorithm
Yuanzineng kexue jishu, 2022 The design of reactor power control system is closely related to the safety and economy of nuclear power plants. To improve its power control performance, a linear quadratic gaussian (LQG) controller for core power control was designed and optimized in a
JIN Xin;LI Dongyuan;QIN Ge;XU Jiaoshen;TANG Hui;WANG Xin
doaj
Launcher attitude control: discrete-time robust design and gain-scheduling [PDF]
, 2003 In this paper, a robust multi-objective design for the control of a launcher during atmospheric flight is investigated. This approach is based on the Cross Standard Form formulation which allows to incorporate the various specifications of the launcher ...
Voinot, Olivier +4 more
core +1 more source
Performance Improvement in a Vehicle Suspension System with FLQG and LQG Control Methods
ActuatorsThis study investigates the effect of active control on a quarter-vehicle suspension system. The car suspension system was modeled using the Lagrange–Euler method.
Tayfun Abut +2 more
semanticscholar +1 more source
Understanding GANs in the LQG Setting: Formulation, Generalization and Stability
IEEE Journal on Selected Areas in Information Theory, 2020 Generative Adversarial Networks (GANs) have become a popular method to learn a probability model from data. In this paper, we provide an understanding of basic issues surrounding GANs including their formulation, generalization and stability on a simple ...
S. Feizi +3 more
semanticscholar +1 more source
Linear Quadratic Gaussian Control of a 6-DOF Aircraft Landing Gear
Energies, 2023 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 ...
Chimezirim Miracle Nkemdirim +2 more
doaj +1 more source
LQG Control and Sensing Co-Design [PDF]
IEEE Transactions on Automatic Control, 2018 We investigate a linear-quadratic-Gaussian (LQG) control and sensing codesign problem, where one jointly designs sensing and control policies. We focus on the realistic case where the sensing design is selected among a finite set of available sensors ...
Vasileios Tzoumas +3 more
semanticscholar +1 more source
Control simulation of an HCCI engine with a discrete model
Nihon Kikai Gakkai ronbunshu, 2018 Homogeneous charge compression ignition (HCCI) engine has some advantages such as high efficiency and low emissions. On the other hand, it has challenges that it is difficult to avoid knocking and misfire.
Takuya HAYASHI +5 more
doaj +1 more source
EnergiesThis 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 ...
Youssef El Haj, Vijay K. Sood
doaj +1 more source
Integral State Feedback Control Using Linear Quadratic Gaussian in DC-drive System
Jurnal Elektronika dan Telekomunikasi, 2021 The electric motor is one of the technological developments which can support the production process. DC motor has some advantages compared to AC motor especially on the easier way to control its speed or position as well as its widely adjustable range ...
Supriyanto Praptodiyono +3 more
doaj +1 more source
Inertial‐Based LQG Control: A New Look at Inverted‐Pendulum Stabilization
International Journal of Mechanical System Dynamics, Volume 6, Issue 3, Page 489-501, September 2026.ABSTRACT Linear‐quadratic Gaussian (LQG) control is a well‐established method for optimal control through state estimation, particularly in stabilizing an inverted pendulum on a cart. In standard laboratory setups, sensor redundancy enables direct measurement of configuration variables using displacement sensors and rotary encoders. However, in outdoor
Daniel Engelsman, Itzik Klein
wiley +1 more source