Results 31 to 40 of about 35,405 (190)
Comparison of discrete-time smc, LQR and PID controllers performance on DC-DC buck converter
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
Adaptive State Feedback Control Method Based on Recursive Least Squares
This study revealed an adaptive state feedback control method based on recursive least squares (RLS) that is introduced for a time-varying system to work with high efficiency. Firstly, a system identification block was created that gives the mathematical
Mehmet Latif Levent, Omer Aydogdu
doaj +1 more source
On the trade-off between electrical power consumption and flight performance in fixed-wing UAV autopilots [PDF]
This paper sets out a study of the autopilot design for fixed wing Unmanned Aerial Vehicles (UAVs) taking into account the aircraft stability, as well as the power consumption as a function of the selected control strategy.
Bertran Albertí, Eduardo +1 more
core +2 more sources
A Survey of LQR Control for Ball-on-Wheel System: Simulation and Experiment [PDF]
A ball-on-wheel system is a recently developed model in the field of automatic control. It serves as a simple model, meeting the learning and algorithmic research needs of students.
Thanh-Nhan Nguyen +7 more
doaj +1 more source
Adaptive Control of an Inverted Pendulum by a Reinforcement Learningbased LQR Method
Inverted pendulums constitute one of the popular systems for benchmarking control algorithms. Several methods have been proposed for the control of this system, the majority of which rely on the availability of a mathematical model.
Uğur Yıldıran
doaj +1 more source
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
On the Design of LQR Kernels for Efficient Controller Learning
Finding optimal feedback controllers for nonlinear dynamic systems from data is hard. Recently, Bayesian optimization (BO) has been proposed as a powerful framework for direct controller tuning from experimental trials. For selecting the next query point
Hennig, Philipp +3 more
core +1 more source
Fault tolerant control of a quadrotor using L-1 adaptive control [PDF]
Purpose – The growing use of small unmanned rotorcraft in civilian applications means that safe operation is increasingly important. The purpose of this paper is to investigate the fault tolerant properties to faults in the actuators of an L1 adaptive ...
Cooke, A. K. +2 more
core +1 more source
Optimised configuration of sensors for fault tolerant control of an electro-magnetic suspension system [PDF]
For any given system the number and location of sensors can affect the closed-loop performance as well as the reliability of the system. Hence, one problem in control system design is the selection of the sensors in some optimum sense that considers both
Anderson BDO +13 more
core +2 more sources
Constrained LQR Using Online Decomposition Techniques [PDF]
This paper presents an algorithm to solve the infinite horizon constrained linear quadratic regulator (CLQR) problem using operator splitting methods.
Ferranti, L. +3 more
core +2 more sources

