Mohamed Edardar

Mohamed Edardar
University of Tripoli | UOT · Department of Electrical and Electronics Engineering

Doctor of Philosophy

About

15
Publications
2,212
Reads
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96
Citations
Citations since 2016
6 Research Items
71 Citations
2016201720182019202020212022051015
2016201720182019202020212022051015
2016201720182019202020212022051015
2016201720182019202020212022051015
Additional affiliations
May 2005 - present
University of Tripoli
Position
  • Professor (Assistant)

Publications

Publications (15)
Article
Full-text available
The performance of the nonlinear control system that is subjected to uncertainty, can be enhanced by implementing an adaptive approach by using the robust output-feedback control and the artificial intelligence neural network. This paper seeks to utilize output feedback control for nonlinear system using artificial intelligence employing neural net...
Conference Paper
One of the major and recurring issues we confront in today’s urbanized world is traffic congestion, which is caused by an increase in the use of private automobiles, and whereas vehicle volume density fluctuates on temporally short and geographically small scales, efficient traffic signal control aids in avoiding traffic bottlenecks. Where this hug...
Conference Paper
In this paper a mini 5v physical model of the Automated Teller Machine based on the use of the ESP32 microcontroller is designed and implemented. This model provides most of the main services including withdrawal, transfer, deposit, balance enquire. These services were implemented using various design techniques studied in different engineering cou...
Conference Paper
This paper describes an approach for the compensation of the nonlinear hysteretic characteristics of a piezoelectric of the actuator by an adaptive inverse hysteretic control using neural networks. This nonlinearity can excite undesirable dynamics in motion and vibration control applications, resulting in reduced closed-loop system efficiency. Ther...
Article
Full-text available
Smart materials are used widely in many applications in nano-positing industry. The objective of this paper is to compare different control schemes of these materials in order to have perfect positioning. Although they have nice features, the smart materials exhibit high nonlinearity, which requires careful control strategies. The plant is represen...
Conference Paper
Full-text available
In this paper we propose a neural sliding-mode control scheme for systems include a class of nonlinear operators. The plant is represented as a linear system preceded by a nonlinear operator, which is modeled with a Prandtl-Ishlinskii (PI) operator. In order to eliminate the nonlinearity, an approximate operator is used as a feedforward compensator...
Conference Paper
Full-text available
A model reference adaptive control is applied in this work to control a piezoelectric actuator which is used frequently in nano-positioning applications. The plant is composed of two systems; The hysteresis nonlinearity and the linear dynamics. The objective of the control system is to guarantee a good tracking in the presence of this nonlinearity....
Article
Full-text available
A sliding mode controller (SMC) is proposed for a class of systems comprising a hysteresis operator preceding a linear system with an all-pole transfer function. The hysteresis operator is modeled with uncertain piecewise linear characteristics, and a nominal inverse operator is included to mitigate the hysteresis effect. A classical SMC design typ...
Article
Full-text available
Analysis of closed-loop systems involving hysteresis is important to both the understanding of these systems and the synthesis of control schemes. However, such analysis is challenging due to the nonsmooth nature of hysteresis nonlinearities. In this paper, singular perturbation techniques are employed to derive an analytical approximation to the t...
Conference Paper
Full-text available
A sliding mode controller is proposed for a class of systems comprising a hysteresis operator preceding an kth-order linear plant without zero dynamics. The hysteresis operator is modeled with piecewise linear characteristics with uncertainties, and a nominal inverse operator is included to mitigate the hysteresis effect. A bound on the inversion e...
Conference Paper
Full-text available
Piezoelectric actuators are commonly modelled by a hysteresis operator preceding fast, stable linear dynamics. This motivates our work to analyze systems with these characteristics when a popular control architecture involving both hysteresis inversion and feedback is adopted. In particular, we are interested in the frequency-scaling behavior of th...
Conference Paper
Full-text available
In this paper we introduce a new method for analyzing the closed-loop control system that involves a singularly perturbed plant preceded by hysteresis nonlinearity with piecewise linear characteristics, an example of which is a piezo-actuated nanopositioners. Different methods are compared to quantify the tracking error and examine how the change i...
Conference Paper
Full-text available
In this paper we propose a robust control scheme for a piezo-actuated nanopositioner to track arbitrary references. The positioner is represented as a linear system preceded by hysteresis, which is modeled with a Prandtl-Ishlinskii (PI) operator. In order to reduce the hysteresis effect, an approximate operator is used as a feedforward compensator....

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Project (1)
Project
Most of systems fails completely or partly after a while. Different methods are established to detect faults in early stages. Some of these methods are deterministic and the others are stochastic. We research the first class in the applications of control systems.