Ahmad M. El-Nagar

According to our database, Ahmad M. El-Nagar authored at least 23 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Development of sliding mode control based on diagonal recurrent neural network for coupled tank system.

Ahmad M. El-Nagar, Mohamed I. Abdo

Neural Comput. Appl., September, 2024

2023

Embedded adaptive fractional-order sliding mode control based on TSK fuzzy system for nonlinear fractional-order systems.

Esraa Mostafa, Osama Elshazly, Mohammad El-Bardini, Ahmad M. El-Nagar

Soft Comput., November, 2023

Real time adaptive PID controller based on quantum neural network for nonlinear systems.

Youssef F. Hanna, Abdel Aziz Khater, Mohammad El-Bardini, Ahmad M. El-Nagar

Eng. Appl. Artif. Intell., November, 2023

Hybrid deep learning controller for nonlinear systems based on adaptive learning rates.

Ahmad M. El-Nagar, Ahmad M. Zaki, F. A. S. Soliman, Mohammad El-Bardini

Int. J. Control, July, 2023

Polynomial Recurrent Neural Network-Based Adaptive PID Controller With Stable Learning Algorithm.

Youssef F. Hanna, Abdel Aziz Khater, Ahmad M. El-Nagar, Mohammad El-Bardini

Neural Process. Lett., June, 2023

A class of general type-2 fuzzy controller based on adaptive alpha-plane for nonlinear systems.

Ahmad M. El-Nagar, Mohammad El-Bardini, Abdel Aziz Khater

Appl. Soft Comput., January, 2023

2022

Hybrid deep learning diagonal recurrent neural network controller for nonlinear systems.

Ahmad M. El-Nagar, Ahmad M. Zaki, F. A. S. Soliman, Mohammad El-Bardini

Neural Comput. Appl., 2022

2021

A Novel Hammerstein Model for Nonlinear Networked Systems Based on an Interval Type-2 Fuzzy Takagi-Sugeno-Kang System.

Tarek R. Khalifa, Ahmad M. El-Nagar, Mohamed A. El-Brawany, Essam A. G. El-Araby, Mohammad El-Bardini

IEEE Trans. Fuzzy Syst., 2021

Deep learning controller for nonlinear system based on Lyapunov stability criterion.

Ahmad M. Zaki, Ahmad M. El-Nagar, Mohammad El-Bardini, F. A. S. Soliman

Neural Comput. Appl., 2021

Full-state neural network observer-based hybrid quantum diagonal recurrent neural network adaptive tracking control.

Ahmed Elkenawy, Ahmad M. El-Nagar, Mohammad El-Bardini, Nabila M. El-Rabaie

Neural Comput. Appl., 2021

2020

Diagonal recurrent neural network observer-based adaptive control for unknown nonlinear systems.

Ahmed Elkenawy, Ahmad M. El-Nagar, Mohammad El-Bardini, Nabila M. El-Rabaie

Trans. Inst. Meas. Control, 2020

A Novel Structure of Actor-Critic Learning Based on an Interval Type-2 TSK Fuzzy Neural Network.

Abdel Aziz Khater, Ahmad M. El-Nagar, Mohammad El-Bardini, Nabila M. El-Rabaie

IEEE Trans. Fuzzy Syst., 2020

Online learning based on adaptive learning rate for a class of recurrent fuzzy neural network.

Abdel Aziz Khater, Ahmad M. El-Nagar, Mohammad El-Bardini, Nabila M. El-Rabaie

Neural Comput. Appl., 2020

Improving the performance of a class of adaptive fuzzy controller based on stable and fast on-line learning algorithm.

Abdel Aziz Khater, Ahmad M. El-Nagar, Mohammad El-Bardini, Nabila M. El-Rabaie

Eur. J. Control, 2020

2019

Practical implementation for stable adaptive interval A2-C0 type-2 TSK fuzzy controller.

Ahmad M. El-Nagar

Soft Comput., 2019

Online learning of an interval type-2 TSK fuzzy logic controller for nonlinear systems.

Abdel Aziz Khater, Ahmad M. El-Nagar, Mohammad El-Bardini, Nabila M. El-Rabaie

J. Frankl. Inst., 2019

2018

Probabilistic fuzzy logic controller for uncertain nonlinear systems.

Omar Shaheen, Ahmad M. El-Nagar, Mohammad El-Bardini, Nabila M. El-Rabaie

J. Frankl. Inst., 2018

Improving the performance of networked control systems with time delay and data dropouts based on fuzzy model predictive control.

Ahmad Sakr, Ahmad M. El-Nagar, Mohammad El-Bardini, Mohammed Sharaf

J. Frankl. Inst., 2018

Adaptive T-S fuzzy controller using reinforcement learning based on Lyapunov stability.

Abdel Aziz Khater, Ahmad M. El-Nagar, Mohammad El-Bardini, Nabila M. El-Rabaie

J. Frankl. Inst., 2018

2017

Parallel realization for self-tuning interval type-2 fuzzy controller.

Ahmad M. El-Nagar, Mohammad El-Bardini

Eng. Appl. Artif. Intell., 2017

2014

Simplified interval type-2 fuzzy logic system based on new type-reduction.

Ahmad M. El-Nagar, Mohammad El-Bardini

J. Intell. Fuzzy Syst., 2014

Derivation and stability analysis of the analytical structures of the interval type-2 fuzzy PID controller.

Ahmad M. El-Nagar, Mohammad El-Bardini

Appl. Soft Comput., 2014

Interval type-2 fuzzy neural network controller for a multivariable anesthesia system based on a hardware-in-the-loop simulation.

Ahmad M. El-Nagar, Mohammad El-Bardini

Artif. Intell. Medicine, 2014