Results 31 to 40 of about 12,444 (195)

About the loss of robustness of the LQG/LTR compensator [PDF]

open access: yesINCAS Bulletin
It is known that the optimal LQR regulator (Linear Quadratic Regulator) with full state feedback has remarkable robustness properties, defined by gain margins of (1/2, ) and phase of at least ± 60 degrees.
Ioan URSU, Adrian TOADER
doaj   +1 more source

Tuning of a Linear-Quadratic Stabilization System for an Anti-Aircraft Missile

open access: yesAerospace, 2021
A description is given of an application of a linear-quadratic regulator (LQR) for stabilizing the characteristics of an anti-aircraft missile, and an analytical method of selecting the weighting elements of the gain matrix in feedback loop is proposed ...
Witold Bużantowicz
doaj   +1 more source

Modeling and control for a magnetic levitation system based on SIMLAB platform in real time

open access: yesResults in Physics, 2018
Magnetic Levitation system becomes a hot topic of study due to the minimum friction and low energy consumption which regards as very important issues.
Mundher H.A. Yaseen, Haider J. Abd
doaj   +1 more source

Input-Output Feedback Linearization Associates with Linear Quadratic Regulator for Stabilization Control of Furuta Pendulum System

open access: yesRobotica & Management, 2023
Manuscript provides a key technology, namely Input-Output Feedback Linearization Associates with Linear Quadratic Regulator (for short, IOFLALQR). The objective of this research is to study the possibility of integrating two control strategies, which ...
Thi-Thanh-Hoang Le
doaj   +1 more source

Non-linear Control of an Autonomous Ground Vehicle [PDF]

open access: yes, 2011
In this paper, in order to select a speed controller for a specific non-linear autonomous ground vehicle, proportional-integral-derivative (PID), Fuzzy, and linear quadratic regulator (LQR) controllers were designed.
Cañas de Paz, Norberto   +1 more
core   +1 more source

Neural-Assisted Synthesis of a Linear Quadratic Controller for Applications in Active Suspension Systems of Wheeled Vehicles

open access: yesEnergies, 2023
This article presents a neural algorithm based on Reinforcement Learning for optimising Linear Quadratic Regulator (LQR) creation. The proposed method allows designing such a target function that automatically leads to changes in the quality and resource
Mateusz Kozek   +2 more
doaj   +1 more source

A Conformal Mapping Based Fractional Order Approach for Sub-optimal Tuning of PID Controllers with Guaranteed Dominant Pole Placement [PDF]

open access: yes, 2012
A novel conformal mapping based Fractional Order (FO) methodology is developed in this paper for tuning existing classical (Integer Order) Proportional Integral Derivative (PID) controllers especially for sluggish and oscillatory second order systems ...
Das, Saptarshi   +3 more
core   +2 more sources

On Vehicle Stabilization Under Saturation Constraints by Linear Quadratic Regulator

open access: yesJEMMME (Journal of Energy, Mechanical, Material, and Manufacturing Engineering), 2022
The stability of a four-wheel vehicle is an issue widely discussed. As an effort to reduce accidents involving four-wheel vehicles, many studies have been conducted to develop a vehicle stability control system.
Mulia Vania Katherine   +3 more
doaj   +1 more source

A comparative study of stabilizing control of a planer electromagnetic levitation using PID and LQR controllers

open access: yesResults in Physics, 2017
Magnetic levitation is a technique to suspend an object without any mechanical support. The main objective of this study is to demonstrate stabilized closed loop control of 1-DOF Maglev experimentally using real-time control simulink feature of (SIMLAB ...
Mundher H.A. Yaseen
doaj   +1 more source

A didactic platform for the study of Linear Quadratic Regulator (LQR) control for Trajectory Tracking of dc motor

open access: yesJournal of Computational Systems and ICTs, 2021
The main objective of this work is to show in detail the methodology to apply the Linear Quadratic Regulator (LQR) for Trajectory Tracking in an experimental way in a didactic platform which consists of a DC motor, the motor model is explained, and how the parameters were estimated experimentally and the validation thereofs.
Joaquin Hernández-Santiago   +2 more
openaire   +1 more source

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