A fuzzy LQR PID control for a two-legged wheel robot with uncertainties and variant height
This paper proposes a fuzzy LQR PID control for a two-legged wheeled balancing robot for
keeping stability against uncertainties and variant heights. The proposed control includes …
keeping stability against uncertainties and variant heights. The proposed control includes …
Techniques used in faults detection of permanent magnet synchronous motor: A review
H Ziad, A Al-Dujaili, A Humaidi - AIP Conference Proceedings, 2024 - pubs.aip.org
Recently, there has been a significant increase in investigations concerning diagnosing
permanent magnet synchronous motor (PMSM) faults, as these kinds of motors have been …
permanent magnet synchronous motor (PMSM) faults, as these kinds of motors have been …
Anti-disturbance control design of Exoskeleton Knee robotic system for rehabilitative care
Abstract In this study, Active Disturbance Rejection Control (ADRC) has been designed for
motion control of knee-joint based on exoskeleton medical robot. The extended state …
motion control of knee-joint based on exoskeleton medical robot. The extended state …
A comparative study of deep learning efficiency in the classification of electrical faults of permanent magnet synchronous motor
H Ziad, AQ Al-Dujaili, AJ Humaidi - International Review of Applied …, 2024 - akjournals.com
Abstract Permanent Magnet Synchronous Motors (PMSMs) are widely used in modern
industrial applications due to their high efficiency, reliability, and compact size. However …
industrial applications due to their high efficiency, reliability, and compact size. However …
Electrical faults classification in permanent magnet synchronous motor using ResNet neural network
H Ziad, A Al-dujaili, AJ Humaidi - International Review of Applied …, 2024 - akjournals.com
The predictive maintenance of permeant magnet synchronous motor is highly required as
this kind of motor has been commonly employed in electric vehicles, industrial systems, and …
this kind of motor has been commonly employed in electric vehicles, industrial systems, and …
[PDF][PDF] Unsupervised Machine Learning Control Techniques for Solving the General Synthesis of Control System Problem.
KS Nassrullah, IV Stepanyan, HS Nasrallah… - International Journal of …, 2024 - inass.org
The focus of this study is a relatively new development in the field of control: machine
learning control. This study offers a mathematical framework for machine learning control …
learning control. This study offers a mathematical framework for machine learning control …
Novel Hybrid Genetic Arithmetic Optimization for Feature Selection and Classification of Pulmonary Disease Images
S Nivetha, HH Inbarani - International Journal of Sociotechnology …, 2023 - igi-global.com
The difficulty in predicting early cancer is due to the lack of early illness indicators.
Metaheuristic approaches are a family of algorithms that seek to find the optimal values for …
Metaheuristic approaches are a family of algorithms that seek to find the optimal values for …