Ahmad M. El-Nagar

Orcid: 0000-0002-8092-3387

According to our database1, Ahmad M. El-Nagar authored at least 29 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2026
Stable online adaptive formation control for leader-follower mobile robots based on reinforcement learning.
Neural Comput. Appl., April, 2026

An advanced framework for mobile robot trajectory tracking controller via recurrent general Type-2 fuzzy neural networks.
Eng. Appl. Artif. Intell., 2026

2025
Bilinear quantum recurrent neural network-based real-time adaptive controller.
Neural Comput. Appl., November, 2025

Deep reinforcement learning-based adaptive fuzzy control for electro-hydraulic servo system.
Neural Comput. Appl., October, 2025

A class of embedded fuzzy PD controller for robot manipulator: analytical structures and stability analysis.
Soft Comput., May, 2025

An embedded deep learning neural network control for a wheeled mobile robot.
Robotics Auton. Syst., 2025

2024
Development of sliding mode control based on diagonal recurrent neural network for coupled tank system.
Neural Comput. Appl., September, 2024

2023
Embedded adaptive fractional-order sliding mode control based on TSK fuzzy system for nonlinear fractional-order systems.
Soft Comput., November, 2023

Real time adaptive PID controller based on quantum neural network for nonlinear systems.
Eng. Appl. Artif. Intell., November, 2023

Hybrid deep learning controller for nonlinear systems based on adaptive learning rates.
Int. J. Control, July, 2023

Polynomial Recurrent Neural Network-Based Adaptive PID Controller With Stable Learning Algorithm.
Neural Process. Lett., June, 2023

A class of general type-2 fuzzy controller based on adaptive alpha-plane for nonlinear systems.
Appl. Soft Comput., January, 2023

2022
Hybrid deep learning diagonal recurrent neural network controller for nonlinear systems.
Neural Comput. Appl., 2022

2021
A Novel Hammerstein Model for Nonlinear Networked Systems Based on an Interval Type-2 Fuzzy Takagi-Sugeno-Kang System.
IEEE Trans. Fuzzy Syst., 2021

Deep learning controller for nonlinear system based on Lyapunov stability criterion.
Neural Comput. Appl., 2021

Full-state neural network observer-based hybrid quantum diagonal recurrent neural network adaptive tracking control.
Neural Comput. Appl., 2021

2020
Diagonal recurrent neural network observer-based adaptive control for unknown nonlinear systems.
Trans. Inst. Meas. Control, 2020

A Novel Structure of Actor-Critic Learning Based on an Interval Type-2 TSK Fuzzy Neural Network.
IEEE Trans. Fuzzy Syst., 2020

Online learning based on adaptive learning rate for a class of recurrent fuzzy neural network.
Neural Comput. Appl., 2020

Improving the performance of a class of adaptive fuzzy controller based on stable and fast on-line learning algorithm.
Eur. J. Control, 2020

2019
Practical implementation for stable adaptive interval A2-C0 type-2 TSK fuzzy controller.
Soft Comput., 2019

Online learning of an interval type-2 TSK fuzzy logic controller for nonlinear systems.
J. Frankl. Inst., 2019

2018
Probabilistic fuzzy logic controller for uncertain nonlinear systems.
J. Frankl. Inst., 2018

Improving the performance of networked control systems with time delay and data dropouts based on fuzzy model predictive control.
J. Frankl. Inst., 2018

Adaptive T-S fuzzy controller using reinforcement learning based on Lyapunov stability.
J. Frankl. Inst., 2018

2017
Parallel realization for self-tuning interval type-2 fuzzy controller.
Eng. Appl. Artif. Intell., 2017

2014
Simplified interval type-2 fuzzy logic system based on new type-reduction.
J. Intell. Fuzzy Syst., 2014

Derivation and stability analysis of the analytical structures of the interval type-2 fuzzy PID controller.
Appl. Soft Comput., 2014

Interval type-2 fuzzy neural network controller for a multivariable anesthesia system based on a hardware-in-the-loop simulation.
Artif. Intell. Medicine, 2014


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