A5090867030- Stability and Control of Uncertain Systems
- Adaptive Control of Nonlinear Systems
- Neural Networks Stability and Synchronization
- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Control Systems and Identification
- Distributed Control Multi-Agent Systems
- Stability and Controllability of Differential Equations
- Control and Stability of Dynamical Systems
- Matrix Theory and Algorithms
- Smart Grid Security and Resilience
- Microgrid Control and Optimization
- Target Tracking and Data Fusion in Sensor Networks
- Network Time Synchronization Technologies
- Power System Optimization and Stability
- Advanced Control Systems Design
- Numerical methods for differential equations
- Frequency Control in Power Systems
- Nonlinear Dynamics and Pattern Formation
- Smart Grid Energy Management
- Neural Networks and Applications
- Advanced Memory and Neural Computing
- Adaptive Dynamic Programming Control
- Mathematical Control Systems and Analysis
- Real-time simulation and control systems
King Fahd University of Petroleum and Minerals
2015-2024
Ain Shams University
2024
Baker Hughes (United States)
2023
Laboratoire d’Informatique et Systèmes
2020
Dhahran Health Center
2018
Arab Academy for Science, Technology, and Maritime Transport
2002-2016
Cairo University
1986-2015
Mansoura University
2015
Sheffield Hallam University
2004-2007
Canadian International College
2004-2006
In this paper, we seek to highlight the concept of Internet Things (IoT) in general, as well reviewing main challenges IoT environment by focusing on recent research directions topic.Recently, has emerged a new technology that is used express modern wireless telecommunication network, and it can be defined an intelligent interoperability node interconnected dynamic global infrastructure also seeks implement connectivity anything from anywhere at anytime.Indeed, possesses large spectrum broad...
This paper develops a method for designing feedback control law to stabilize class of uncertain linear systems. The systems under consideration is described by continuous-time model with variable-state delay and depends on time-varying unknown-but-bounded parameters. It shown that the construction stabilizing controller involves solving certain algebraic Riccati equation. Several previous results are derived as interesting special cases. Finally, simulation example presented illustrate...
To better cope with the challenges posed by world today, transition of systems engineering principles to complex, large scale, integrated and evolutionary system (SoSs) has occurred. On other hand, distributed generation made its mark in power distribution system, as a consequence economic environmental considerations. With exponential advancement technology, unconventional sources generation, storage microturbines have been enhanced. The microgrid paved way into looks promising for future...
Modern power grid is a generation mix of conventional facilities and variable renewable energy resources (VRES). The complexity such with has routed the utilization infrastructures involving phasor measurement units (PMUs). This to have access real-time information. However, traffic digital information communication potentially vulnerable data-injection cyber attacks. To address this issue, median regression function (MRF)-based state estimation presented in paper. algorithm was stationed at...
The problem of continuous-time Kalman filtering for a class linear, uncertain time-lag systems with randomly jumping parameters is considered. parameter uncertainties are norm bounded and the transitions governed by finite-state Markov process. We establish LMI-based sufficient conditions stochastic stability. under which linear delay-less state estimator guarantees that estimation error covariance lies within prescribed bound all admissible investigated. It established robust filter...
The problem of stabilizing linear dynamical time-delay systems subject to bounded uncertainties is investigated. Two memoryless feedback controllers are considered. It established that when the matching conditions met and certain bounding relations satisfied, then controller renders zero-response system asymptotically stable. Saturation-type shown guarantee all responses uniformly ultimately bounded.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML"...
An application of artificial neural networks (ANNs) to short-term load forecasting is presented in this paper. algorithm using cascaded learning together with historical and weather data proposed forecast half-hourly power system for the next 24 hours. This network (CANNs) includes peak, minimum daily energy prediction as additional input final stage. These are predicted first model. The trained tested on electric Kuwait. absolute average error reduced from 3.367% 2.707% by applying CANNs...
There are four main objectives of this survey. First, the general theory multilevel systems is outlined, and basic related issues presented. Second, literature on research topics that utilize fundamental concepts, structures, methodologies classified documented. Third, principal features, advantages, limitations as pertinent to various practical applications pointed out. Finally, extensions other areas well prospects for future investigations delineated.