Results 91 to 100 of about 11,015,327 (213)
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
A Stochastic Gradient Descent Approach to Design Policy Gradient Methods for LQR
CoRRIn this work, we propose a stochastic gradient descent (SGD) framework to design data-driven policy gradient descent algorithms for the linear quadratic regulator problem. Two alternative schemes are considered to estimate the policy gradient from stochastic trajectory data: (i) an indirect online identification based approach, in which the system ...
Bowen Song +3 more
openaire +3 more sources
MathematicsThe automotive suspension must perform competently to support comfort and safety when driving. Traditionally, car suspension control tuning is performed through trial and error or with classical techniques that cannot guarantee optimal performance under ...
Bala Abdullahi Magaji +3 more
doaj +1 more source
LQR controller via Bryson method in a printed robotic manipulator
, 2016 The present work aims to design the Linear Quadratic Regulator in order to guarantee the robust properties on the robotic manipulator EEZTbotAR dynamic model calculated by FRIAS (2016).
Sousa, Paula da Costa
core +1 more source
Design of Linear Quadratic Regulator (LQR) Based on Genetic Algorithm for Inverted Pendulum
Mendel, 2017 One of the crucial problems in the dynamics and automatic control theory is balancing of an inverted pendulum robot by moving a cart along a horizontal path. This task is often used as a benchmark for di erent method comparison.
Tomas Marada +2 more
doaj +1 more source
Tuning of LQR controller for an experimental inverted pendulum system based on The Bees Algorithm [PDF]
, 2016 Stabilizing of an inverted pendulum (IP) system is a main problem for researchers working on control theory. Balancing of an inverted pendulum system is one of the major benchmark problems in the control system community.
Kalyoncu, Mete +5 more
core +1 more source
Multi-Objective Motion Control Optimization for the Bridge Crane System
Applied Sciences, 2018 A novel control algorithm combining the linear quadratic regulator (LQR) control and trajectory planning (TP) is proposed for the control of an underactuated crane system, targeting position adjustment and swing suppression. The TP is employed to control
Renxin Xiao +5 more
doaj +1 more source
On discounted LQR control problem for disturbanced singular system [PDF]
, 2019 The LQR (linear quadratic regulator) control problem subject to singular system constitutes a optimization problem in which one must be find an optimal control that satisfy the singular system and simultaneously to optimize the quadratic objective ...
Yulianti, Lyra +4 more
core +1 more source
Jurnal ElkomikaABSTRAK Makalah ini menyajikan proses rancang bangun sistem kendali pendulum terbalik dengan menggunakan metode LQR. Model sistem diperoleh dengan melakukan analisis free body diagram dari sistem pendulum terbalik kemudian setelah diperoleh model sistem
SADIANA PUTRA +2 more
doaj +1 more source
Linear quadratic regulator (LQR) controller design for DC motor speed using matlab application [PDF]
, 2008 This project is a about control system. To control the system, simulation and experimental investigation into the development of LQR controller using MATLAB/SIMULINK software.
Mohd Redha, Rajab
core +2 more sources