Results 31 to 40 of about 2,974 (182)

Adaptive Backstepping Design of a Microgyroscope [PDF]

open access: yesMicromachines, 2018
This paper presents a novel algorithm for the design and analysis of an adaptive backstepping controller (ABC) for a microgyroscope. Firstly, Lagrange–Maxwell electromechanical equations are established to derive the dynamic model of a z-axis microgyroscope.
Yunmei Fang, Juntao Fei, Yuzheng Yang
openaire   +3 more sources

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai   +3 more
wiley   +1 more source

Robust tracking control for hydraulic actuator using backstepping sliding mode control

open access: yesJournal of Advanced Mechanical Design, Systems, and Manufacturing, 2014
This paper deals with the design and experimental evaluation of an explicit tracking control system for a hydraulic actuator. The tracking control of hydraulic system has been widely applied to many application fields. However, since the hydraulic system
Han Me KIM, Jeongju CHOI
doaj   +1 more source

Motion Control of a Hydraulic Manipulator with Adaptive Nonlinear Model Compensation and Comparative Experiments

open access: yesMachines, 2022
Hydraulic manipulators play an irreplaceable role in many heavy-duty applications. Currently, there are stronger demands for the hydraulic manipulator to achieve high precision, as well as high force/power.
Yangxiu Xia   +4 more
doaj   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi   +3 more
wiley   +1 more source

Kinesin’s backsteps under mechanical load [PDF]

open access: yesPhysical Chemistry Chemical Physics, 2009
Kinesins move processively toward the plus end of microtubules by hydrolyzing ATP for each step. From an enzymatic perspective, the mechanism of mechanical motion coupled to the nucleotide chemistry is often well explained using a single-loop cyclic reaction.
Hyeon, Changbong   +2 more
openaire   +3 more sources

Toward the Intelligent, Safe Exploration of a Biomimetic Underwater Robot: Modeling, Planning, and Control

open access: yesBiomimetics
Safe, underwater exploration in the ocean is a challenging task due to the complex environment, which often contains areas with dense coral reefs, uneven terrain, or many obstacles.
Yu Wang   +4 more
doaj   +1 more source

Comparative Study of Electric Vehicle Propulsion Systems Using Field‐Oriented Controlled Dual PMSMs With Novel Control Strategies Based on an EPS Filter and a Fuzzy Logic Regulator for Enhanced Stability and Safety

open access: yesEnergy Science &Engineering, EarlyView.
The growing demand for electric vehicles (EVs) has driven research into improving propulsion control systems, focusing on performance, efficiency, and safety. This study addresses a gap in advanced control systems for EV differentials and presents two solutions.
Rachad Moumni   +7 more
wiley   +1 more source

Design and experimental verifications of the high-speed turn flight control of single-rotor helicopters by the combination of the backstepping method and optimal servo system

open access: yesNihon Kikai Gakkai ronbunshu, 2017
Aiming at the realization of agile autonomous flight for the extension of the flying range of single-rotor helicopters in the limited flight time, the flight control system design and the control performance verification for the high-speed turn flight ...
Daigo FUJIWARA, Takayuki SHIOKAWA
doaj   +1 more source

Backstepping control of three‐degree‐of‐freedom hybrid magnetic bearing based on non‐linear disturbance observer

open access: yesIET Electric Power Applications, 2023
A backstepping controller based on a non‐linear disturbance observer (NDOB) was created to enhance the dynamic performance and reliability of three‐degree‐of‐freedom hybrid magnetic bearings. After the structure of three‐degree‐of‐freedom hybrid magnetic
Liu Chengzi   +3 more
doaj   +1 more source

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