Omar Mohamed

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The paper presents the recent research work in study of a novel multivariable coordinate control for a 600MW supercritical (SC) power plant. The mathematical model of the plant is described in the first part of the paper. Then, a control strategy is designed based on Model Predictive Control (MPC) theory. It is noticed that the linear MPC alone performs(More)
With the introduction of new technology in our daily life, it is essential that this technology is used for the aid of the elderly. Falls cause a very high risk to the elderly's life. Accordingly, this paper's focus is on technology that would aid the elderly. These technologies include: Wearable- based, audio- based, and video-based fall detection systems.(More)
The paper aims to study the whole process mathematical model for a supercritical coal-fired power plant. The modeling procedure is based on thermodynamic and engineering principles and the previously published literatures. Model unknown parameters are identified using Genetic Algorithms (GAs) with 600MW supercritical power plant on-site measurement data.(More)
This paper aims to introduce generalized statespace models of power plant gas turbine system. Once verified, those models can be used in system real-time monitoring and control of power plants. The models are of generalized statespace structure and their parameters are optimized from normal operating records first using subspace identification method. Then(More)
We consider a Gaussian multiple-access channel (MAC) with an amplify-and-forward (AF) relay, where all nodes except the receiver have multiple antennas and the direct links between transmitters and receivers are neglected. Thus, spatial processing can be applied both at the transmitters and at the relay, which is subject to optimization for increasing the(More)
Microgrids and Hybrid Electric Vehicles rely on parallel DC/DC converters for power generation. DC/DC converters are connected in parallel to share the same load. The control signals are distributed through wires. The wiring increases the complexity and reduces the reliability. The recent advances in shared wireless networks made them viable and cheap(More)
the paper is to investigate dynamic responses of supercritical power plants (SCPP) and study the potential strategies for improvement of their responses for Grid Code compliance. An approximate mathematical model that reflects the main features of SCPP is developed. The model unknown parameters are identified using Genetic Algorithms (GA) and the model is(More)
The topic of modeling and identification of gas turbines has become an interesting research area for many years and will become so for many years to come. This paper clarifies what is known as Canonical Variate Algorithm or canonical variate analysis (CVA) method of subspace state space system identification. A gas turbine operating currently in North(More)
The seismological acquisition and processing at the Egyptian National Seismic Network (ENSN) is a fully automated network system dedicated to the digital acquisition and real-time processing of seismological data. Data are digitized at a sampling rate of 100 samples per second with a High Resolution Digitizer (HRD) or Trident Digitizer from NANOMETRICS. A(More)