A5039334588- Fuzzy Logic and Control Systems
- Adaptive Control of Nonlinear Systems
- Neural Networks and Applications
- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Body Composition Measurement Techniques
- Advanced Neural Network Applications
- Control Systems and Identification
- Blind Source Separation Techniques
- Stability and Control of Uncertain Systems
- Advanced Control Systems Design
- Traditional Chinese Medicine Studies
- Distributed Control Multi-Agent Systems
- Software Testing and Debugging Techniques
- Medical Image Segmentation Techniques
- Composite Structure Analysis and Optimization
- Iterative Learning Control Systems
- Engineering Diagnostics and Reliability
- Pulmonary Hypertension Research and Treatments
- Advanced Malware Detection Techniques
- Surface Treatment and Coatings
- Piezoelectric Actuators and Control
- Robotic Mechanisms and Dynamics
- Industrial Automation and Control Systems
- Composite Material Mechanics
Ege University
2007-2024
Northeastern University
2008
End effector tracking control of robot manipulators subject to dynamical uncertainties is the main objective this article. Direct task space that aims minimizing end error directly preferred. In open loop system, vector depends on uncertain terms modeled via a fuzzy logic network and self-adjusting adaptive component designed as part nonlinear proportional derivative based input torque. The stability closed-loop system investigated Lyapunov arguments practical proven. viability proposed...
The architecture and training procedure of a novel recurrent neural network (RNN), referred to as the multifeedback-layer (MFLNN), is described in this paper. main difference proposed compared available RNNs that temporal relations are provided by means neurons arranged three feedback layers, not simple elements, order enrich representation capabilities networks. layers provide local global recurrences via nonlinear processing elements. In these weighted sums delayed outputs hidden output...
Abstract In this paper, a multiple model adaptive fault tolerant control scheme is proposed based on mixing of the signals generated by set linear quadratic state feedback controllers. Each these controllers are designed considering closed loop system performance for particular range fault. Stability analysis provided. The paper further presents specific design and implementation motion quadrotor unmanned aerial vehicles (UAVs). controller tested via real‐time experiments Quanser Qball‐X4...
Magnetic resonance imaging (MRI) is the non-invasive modality of choice for body tissue composition analysis due to its excellent soft-tissue contrast and lack ionizing radiation. However, quantification requires an accurate segmentation fat, muscle, other tissues from MR images, which remains a challenging goal intensity overlap between them. In this study, we propose fully automated, data-driven image platform that addresses multiple difficulties in segmenting images such as varying...
This article aims to design a joint space tracking controller for robotic manipulators having uncertainties in their mathematical representations under the additional constraint that velocity sensing not being available. A two-part is followed where first part, modeling are dealt with self-organized adaptive fuzzy-logic (AFL)-based full-state feedback (FSFB) assumed. The stability analysis yields semiglobally uniformly ultimately bounded results. In second high-gain observer designed by...
In this study, a novel multiple model adaptive control scheme is designed and implemented for quadrotor unmanned aerial vehicles (UAVs). The proposed involves mixing controller that blends set of pre-designed linear quadratic controllers. A particular goal the design guaranteeing robustness in lateral motion against modeling uncertainties. tested via real-time experiments on Quanser Qball-X4 UAVs. experimental results verify efficiency scheme.
A normalized P-V curve is proposed for quantitative comparisons of quasistatic curves from different sources, including data investigators, airway pressure-volume versus transpulmonary curves, normal injured respiratory system, and animal tests clinical data. Similarities differences among five groups we analyzed are shown to be quantified through the nondimensional pressure range an individual set, combined with magnitudes two parameters inflation limb, derived a system model previously reported.
In this study, we have focused on paper ticket fare collection systems with square codes. It is intended to improve Quick Response code detection performance and prevent unauthorized riding. A separate quick response appeared the that in ultra violet light, purpose was achieved by checking match first code. Secure implementation for generating triple data encryption standard decoding been adopted. The study implemented a Linux-based embedded system. We developed necessary libraries drivers...
Magnetic resonance imaging (MRI) is the non-invasive modality of choice for body tissue composition analysis due to its excellent soft contrast and lack ionizing radiation. However, quantification requires an accurate segmentation fat, muscle other tissues from MR images, which remains a challenging goal intensity overlap between them. In this study, we propose fully automated, data-driven image platform that addresses multiple difficulties in segmenting images such as varying inhomogeneity,...