Results 51 to 60 of about 16,024 (227)

An MPC-LQR-LPV Controller with Quadratic Stability Conditions for a Nonlinear Half-Car Active Suspension System with Electro-Hydraulic Actuators

open access: yesMachines, 2022
The active suspension system of a vehicle manipulated using electro-hydraulic actuators is a challenging nonlinear control problem. In this research work, a novel Linear Parameter Varying (LPV) State-Space (SS) model with a fictional input is proposed to
Daniel Rodriguez-Guevara   +4 more
semanticscholar   +1 more source

GENETIC ALGORITHM-PID CONTROLLER FOR MODEL ORDER REDUCTION PANTOGRAPHCATENARY SYSTEM [PDF]

open access: yesApplied Computer Science, 2021
Controlling the contact force between the pantograph and the catenary has come to be a requirement for improving the performances and affectivity of high-speed train systems Indeed, these performances can also significantly be decreased due to the fact ...
Nasir A. AL-AWAD   +2 more
doaj   +1 more source

On the Linear Convergence of Random Search for Discrete-Time LQR

open access: yesIEEE Control Systems Letters, 2021
Model-free reinforcement learning techniques directly search over the parameter space of controllers. Although this often amounts to solving a nonconvex optimization problem, for benchmark control problems simple local search methods exhibit competitive ...
Hesameddin Mohammadi   +2 more
semanticscholar   +1 more source

Towards Data-driven LQR with Koopmanizing Flows⋆

open access: yesIFAC-PapersOnLine, 2022
Final version, accepted for presentation at the 6th IFAC Conference on Intelligent Control and Automation Sciences (ICONS), 2022.
Bevanda, Petar   +4 more
openaire   +3 more sources

Naive Exploration is Optimal for Online LQR

open access: yesCoRR, 2020
We consider the problem of online adaptive control of the linear quadratic regulator, where the true system parameters are unknown. We prove new upper and lower bounds demonstrating that the optimal regret scales as $\widetildeΘ({\sqrt{d_{\mathbf{u}}^2 d_{\mathbf{x}} T}})$, where $T$ is the number of time steps, $d_{\mathbf{u}}$ is the dimension of the
Max Simchowitz, Dylan J. Foster
openaire   +3 more sources

Real Time Performance Comparison of Buck Converter Circuit Controlled By Discrete Time PID, LQR and SMC Controllers in Continuous-Current Mode

open access: yesSakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2019
In this study, a DC-DC buckconverter circuit which is used to get direct voltage by decreasing the sourcevoltage is researched. Firstly mathematical model for a DC-DC buck convertercircuit is obtained and critical inductance value is calculated to make ...
Ömer Özdemir, İrfan Yazıcı
doaj   +1 more source

Design and Simulation of Intelligent Vehicle Trajectory Tracking Control Algorithm Based on LQR and PID

open access: yesTaiyuan Ligong Daxue xuebao, 2022
In order to improve the accuracy and robustness of intelligent vehicle trajectory tracking, a longitudinal and lateral control strategy based on linear quadratic regulator (LQR) and proportional-integral-derivative (PID) algorithm was proposed.
Mingze XU, Qinghe LIU
doaj   +1 more source

Comparison of discrete-time smc, LQR and PID controllers performance on DC-DC buck converter

open access: yesSakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2018
Bu çalışmada, sürekli-akım modunda çalıştırılanalçaltıcı tip Da-Da dönüştürücüler için ayrık-zamanda üç farklı kontrolörtasarlanmış ve benzetim çalışmaları ile performansları karşılaştırmalı olarakincelenmiştir.
Ömer Özdemir, İrfan Yazıcı
doaj   +1 more source

Longitudinal Qualitative Methods in Health Behavior and Nursing Research: Assumptions, Design, Analysis and Lessons Learned

open access: yesInternational Journal of Qualitative Methods, 2020
Longitudinal qualitative research (LQR) is an emerging methodology in health behavior and nursing research. Researchers are turning to LQR to understand experiences across time as well as identify facilitators and inhibitors of health/illness behaviors ...
Emily L. Tuthill   +3 more
doaj   +1 more source

Quantized Online LQR

open access: yesCoRR
We study online linear-quadratic regulation (LQR) with unknown dynamics under communication rate constraints. Classical networked control quantizes the plant state at every time step, requiring $O(T)$ total bits while injecting persistent quantization noise that limits control performance.
Barron Han   +2 more
openaire   +2 more sources

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