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Mohammad El-Bardini
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2020 – today
- 2023
- [j23]Ahmad M. El-Nagar, Mohammad El-Bardini, Abdel Aziz Khater:
A class of general type-2 fuzzy controller based on adaptive alpha-plane for nonlinear systems. Appl. Soft Comput. 133: 109938 (2023) - [j22]Youssef F. Hanna, Abdel Aziz Khater, Mohammad El-Bardini, Ahmad M. El-Nagar:
Real time adaptive PID controller based on quantum neural network for nonlinear systems. Eng. Appl. Artif. Intell. 126: 106952 (2023) - [j21]Ahmad M. El-Nagar
, Ahmad M. Zaki, F. A. S. Soliman, Mohammad El-Bardini:
Hybrid deep learning controller for nonlinear systems based on adaptive learning rates. Int. J. Control 96(7): 1710-1723 (2023) - [j20]Youssef F. Hanna
Polynomial Recurrent Neural Network-Based Adaptive PID Controller With Stable Learning Algorithm. Neural Process. Lett. 55(3): 2885-2910 (2023) - [j19]Esraa Mostafa, Osama Elshazly
Embedded adaptive fractional-order sliding mode control based on TSK fuzzy system for nonlinear fractional-order systems. Soft Comput. 27(21): 15463-15477 (2023) - 2022
- [j18]Ahmad M. El-Nagar
Hybrid deep learning diagonal recurrent neural network controller for nonlinear systems. Neural Comput. Appl. 34(24): 22367-22386 (2022) - 2021
- [j17]Ahmad M. Zaki, Ahmad M. El-Nagar
Deep learning controller for nonlinear system based on Lyapunov stability criterion. Neural Comput. Appl. 33(5): 1515-1531 (2021) - [j16]Ahmed Elkenawy, Ahmad M. El-Nagar
Full-state neural network observer-based hybrid quantum diagonal recurrent neural network adaptive tracking control. Neural Comput. Appl. 33(15): 9221-9240 (2021) - [j15]Tarek R. Khalifa
A Novel Hammerstein Model for Nonlinear Networked Systems Based on an Interval Type-2 Fuzzy Takagi-Sugeno-Kang System. IEEE Trans. Fuzzy Syst. 29(2): 275-285 (2021) - 2020
- [j14]Abdel Aziz Khater, Ahmad M. El-Nagar
Improving the performance of a class of adaptive fuzzy controller based on stable and fast on-line learning algorithm. Eur. J. Control 51: 39-52 (2020) - [j13]Abdel Aziz Khater, Ahmad M. El-Nagar
Online learning based on adaptive learning rate for a class of recurrent fuzzy neural network. Neural Comput. Appl. 32(12): 8691-8710 (2020) - [j12]Abdel Aziz Khater, Ahmad M. El-Nagar
A Novel Structure of Actor-Critic Learning Based on an Interval Type-2 TSK Fuzzy Neural Network. IEEE Trans. Fuzzy Syst. 28(11): 3047-3061 (2020) - [j11]Ahmed Elkenawy, Ahmad M. El-Nagar
Diagonal recurrent neural network observer-based adaptive control for unknown nonlinear systems. Trans. Inst. Meas. Control 42(15): 2833-2856 (2020)
2010 – 2019
- 2019
- [j10]Abdel Aziz Khater, Ahmad M. El-Nagar
Online learning of an interval type-2 TSK fuzzy logic controller for nonlinear systems. J. Frankl. Inst. 356(16): 9254-9285 (2019) - 2018
- [j9]Omar Shaheen, Ahmad M. El-Nagar
Probabilistic fuzzy logic controller for uncertain nonlinear systems. J. Frankl. Inst. 355(3): 1088-1106 (2018) - [j8]Abdel Aziz Khater, Ahmad M. El-Nagar
Adaptive T-S fuzzy controller using reinforcement learning based on Lyapunov stability. J. Frankl. Inst. 355(14): 6390-6415 (2018) - [j7]Ahmad Sakr, Ahmad M. El-Nagar
Improving the performance of networked control systems with time delay and data dropouts based on fuzzy model predictive control. J. Frankl. Inst. 355(15): 7201-7225 (2018) - 2017
- [j6]Ahmad M. El-Nagar
Parallel realization for self-tuning interval type-2 fuzzy controller. Eng. Appl. Artif. Intell. 61: 8-20 (2017) - 2016
- [c2]Essam A. G. El-Araby, Mohammad A. El-Bardini, Nabila M. El-Rabaie:
Adaptive Decentralized Controller for Regulating an Elastic Coupled Multi-motor System. CSOC (3) 2016: 279-290 - 2014
- [j5]Ahmad M. El-Nagar
Interval type-2 fuzzy neural network controller for a multivariable anesthesia system based on a hardware-in-the-loop simulation. Artif. Intell. Medicine 61(1): 1-10 (2014) - [j4]Ahmad M. El-Nagar
Derivation and stability analysis of the analytical structures of the interval type-2 fuzzy PID controller. Appl. Soft Comput. 24: 704-716 (2014) - [j3]Ahmad M. El-Nagar
Simplified interval type-2 fuzzy logic system based on new type-reduction. J. Intell. Fuzzy Syst. 27(4): 1999-2010 (2014) - [c1]Osama Elshazly
Adaptive fuzzy iterative learning controller for X-Y table position control. AQTR 2014: 1-6 - 2013
- [j2]Mohammed Adel Elsayed Saad, Mohammad El-Bardini, Mohammad Ibrahim Mahmoud:
Multi-Purpose Simulation and Testing Model Of the (Electronic Gas Turbine Control Unit) (EGTCU). Int. J. Syst. Dyn. Appl. 2(3): 36-57 (2013) - 2011
- [j1]Hossam Mohammad Khalil, Mohammad El-Bardini:
Implementation of speed controller for rotary hydraulic motor based on LS-SVM. Expert Syst. Appl. 38(11): 14249-14256 (2011)
Coauthor Index
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