Reduced-Scale Mobile Robots for Autonomous Driving Research
Reduced-scale mobile robots (RSMRs) are extensively used for studying autonomous
driving due to their ability to test models and algorithms in physical environments, their lack …
driving due to their ability to test models and algorithms in physical environments, their lack …
Using Fractional-order Technique and Non-linear Surface to Improve the Performance of the Backstepping Control of Multi-rotor Wind Power Systems
In this study, an effective solution is given to overcome the drawbacks of backstepping
command (BC) for a doubly-fed induction generator based on multi-rotor wind power …
command (BC) for a doubly-fed induction generator based on multi-rotor wind power …
Path tracking control approach and processing lumped disturbances for AGV in recent years: an overview
TM Do, HN Nguyen - International Conference on Advances in Information …, 2023 - Springer
Abstract AGV (Automated Guided Vehicles)-has been widely applied to many different fields
for the purpose of goods transportation from the receipted to the delivery place. AGVs are …
for the purpose of goods transportation from the receipted to the delivery place. AGVs are …
[HTML][HTML] Global Path Planning for Differential Drive Mobile Robots Based on Improved BSGA* Algorithm
M Yao, H Deng, X Feng, P Li, Y Li, H Liu - Applied Sciences, 2023 - mdpi.com
The global path planner is an important part of the navigation system for autonomous
differential drive mobile robots (DDMRs). Aiming at the problems such as long calculation …
differential drive mobile robots (DDMRs). Aiming at the problems such as long calculation …
Enhancing Control Systems with Neural Network-Based Intelligent Controllers
K Puentes, L Morales, DF Pozo-Espin… - Emerging Science …, 2024 - ijournalse.org
The primary challenge faced by a neural controller in the dynamic model of a mobile robot
lies in its ability to address the inherent complexity of the system dynamics. Given that …
lies in its ability to address the inherent complexity of the system dynamics. Given that …
Trajectory tracking control based on genetic algorithm and proportional integral derivative controller for two-wheel mobile robot
This paper uses the genetic algorithm (GA) to optimize the proportional integral derivative
(PID) controller parameters to present the motion control design for a two-wheeled mobile …
(PID) controller parameters to present the motion control design for a two-wheeled mobile …
An Effective Intelligent Control Strategy for the Inverted Pendulum System on a Cart Applies a Hierarchical Sliding Mode Control Technique Combined with an …
In this paper, an effective intelligent control method, constructed based on the connection
between the Hierarchical Sliding Mode Control (HSMC) technique and the adaptive radial …
between the Hierarchical Sliding Mode Control (HSMC) technique and the adaptive radial …
Design neural network-based adaptive controller for underactuated 3-wheeled Mobile Robot
MD Vu, DT Phong, H Le Xuan, D Le Van… - … Circuits, Design, and …, 2024 - ieeexplore.ieee.org
3-wheeled mobile robots (3WMR) are used widely in various industries. They can operate in
hazardous environments and complete tasks automatically without direct human …
hazardous environments and complete tasks automatically without direct human …
İki tekerlekli bir denge robotunun yörünge kontrolü için bulanık mantık tabanlı hiyerarşik kayan kip kontrolcü tasarımı
M Doğan - 2024 - acikerisim.erbakan.edu.tr
Özet Bu çalışmada Bulanık Mantık Tabanlı Hiyerarşik Kayan Kipli Kontrol yöntemi
kullanılarak İki Tekerlekli Kendini Dengeleyen bir Mobil Robotun yörünge takibi kontrolü …
kullanılarak İki Tekerlekli Kendini Dengeleyen bir Mobil Robotun yörünge takibi kontrolü …
Adaptive fuzzy-neural network effectively disturbance compensate in sliding mode control for dual arm robot
NK Nguyen, QVB Bui, QH Nguyen… - EUREKA: Physics …, 2024 - journal.eu-jr.eu
In this study, an Adaptive Backstepping Sliding Mode Controller (ABSMC) is introduced
based on the Radial Basis Function (RBF) neural network and a fuzzy logic modifier. The …
based on the Radial Basis Function (RBF) neural network and a fuzzy logic modifier. The …