Results 61 to 70 of about 36,602 (258)
Comparison of discrete-time smc, LQR and PID controllers performance on DC-DC buck converter
Sakarya 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
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Adaptive Control of an Inverted Pendulum by a Reinforcement Learningbased LQR Method
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2023 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
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Resummed prediction for Higgs boson production through $b\bar{b}$ annihilation at N$^3$LL [PDF]
, 2019 We present an accurate theoretical prediction for the production of Higgs boson through bottom quark annihilation at the LHC up to next-to-next-to-next-to leading order (N$^3$LO) plus next-to-next-to-next-to-leading logarithmic (N$^3$LL) accuracy.
Chakraborty, Amlan +4 more
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Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review
Advanced Robotics Research, EarlyView.Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang +14 more
wiley +1 more source
Revista Iberoamericana de Automática e Informática Industrial RIAI, 2022 Durante las últimas décadas, los reguladores lineales basados en observadores de perturbaciones han experimentado un interés creciente entre la comunidad científica, principalmente, debido a sus buenas propiedades para tolerar cambios o incertidumbres en
Alberto Castillo +2 more
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Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Modeling the Interaction Between two-Wheeled Self-Balancing Vehicle and its Rider
International Journal of Applied Mechanics and Engineering, 2013 The paper presents a modeling method and mathematical description of a two-wheeled self-balancing vehicle and its rider. A model of the rider that was used contains a model of the ankle joint, so we could determine the interaction between the rider and ...
M. Ciężkowski
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Adaptive State Feedback Control Method Based on Recursive Least Squares
Elektronika ir Elektrotechnika, 2022 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
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Motion control and vibration suppression of flexible lumped systems via sensorless LQR control [PDF]
, 2011 This work attempts to achieve motion control along with vibration suppression of flexible systems by developing a sensorless closed loop LQR controller. Vibration suppression is used as a performance index that has to be minimized so that motion control ...
Celebi, Besir +7 more
core
Advanced Intelligent Discovery, EarlyView.The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source