Mohammad El-Bardini
According to our database1,
Mohammad El-Bardini
authored at least 25 papers
between 2011 and 2023.
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Bibliography
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
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
Online learning of an interval type-2 TSK fuzzy logic controller for nonlinear systems.
J. Frankl. Inst., 2019
2018
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
Eng. Appl. Artif. Intell., 2017
2016
Adaptive Decentralized Controller for Regulating an Elastic Coupled Multi-motor System.
Proceedings of the Automation Control Theory Perspectives in Intelligent Systems, 2016
2014
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
Proceedings of the IEEE International Conference on Automation, 2014
2013
Multi-Purpose Simulation and Testing Model Of the (Electronic Gas Turbine Control Unit) (EGTCU).
Int. J. Syst. Dyn. Appl., 2013
2011
Expert Syst. Appl., 2011