Hassen Taher Dorrah

Cairo University | CU · Department of Electrical Engineering

This paper addresses the problem of exact generic symbolic formulation and solution of Parameters Varying Systems (PVS) problems in control, systems, and optimization. Comparisons between the generic symbolic mathematical approach versus various techniques such as the probabilistic (or random), fuzzy, chaotic and other approaches are thoroughly inv...

The optimal power flow issue (OPFI) can be solved in this work using the recently developed algorithm, gorilla troops algorithm (GTA). The goal of OPFI is to reduce numerous functions such as minimizing fuel costs, emissions, and power losses and improving the voltage stability related to electric power networks (EPNs). The GTA is inspired by goril...

This paper presents a developed solution based on gorilla troops optimization technique for OPFP in EPSs. The GTOT is motivated by gorillas’ group behaviors in which several methods are replicated, such as migration to an unfamiliar location, traveling to other gorillas, migration toward a specific spot, accompanying the silverback, and competing f...

This paper proposes a robust control for wheeled inverted pendulum (WIP) taking into account the wheel position and pendulum angle in the presence of uncertain disturbances. The proposed control algorithm is a combination of time-varying sliding mode control (TVSMC), exponential reaching law (ERL), and nonlinear feedback control (NFC) to eliminate...

This paper proposes two mathematical methods for constructing the minimum area consolidity region (chart) under the condition of passing the major axis of ellipse through origin. The physical significance of the consolidity chart is that it marks the boundary of all system interactive behavior resulting from all exhaustive fuzzy internal and extern...

Despite the superiority of symbolic approaches over the purely numerical approaches in many aspects, it does not receive the proper attention due to its significant complexity, high resources requirement and long drawn time which even grows significantly with the increase of model dimensions. However, its merits deserve every attempt to overcome th...

Crossing the boundaries between sciences: The symbolic-based flow aggregation and disaggregation tree-shaped networks opened gates: Graphical Abstract

The tree is a symbol of essence of Life Paradigm. In this regard, Gabr and Dorrah have recently introduced a new symbolic-based flow aggregation and disaggregation modular approach for man-made and natural tree-shaped networks spread in all sciences and disciplines with emphasis to Engineering/technology and Science of Botany. The analysis has show...

Networked sensors in smart grids allow techniques like sensor fusion including: sensor similarities, as well as, sensor complementarities to be integrated to obtain new information or feature that is not measured directly. On the other hand, these techniques can be extended to get trusted readings at different correlated areas based on historical o...

Gabr and Dorrah IEEE Access Paper Graphs marked with the "Tree Head" and "Tree Feet"

IEEE Access Paper Short Arabic Summary and Highlights

This paper presents the representation and modeling of real-life tree-shaped natural and man-made networks. It is shown that the tree-shaped networks could be composed of two entities of different functionalities that can operate separately or jointly. The first entity is the feet/head aggregation networks, while the second entity is the head/feet...

IEEE Access Paper Graphical Abstract Photo

This paper presents the new concept of symbolic-based continuous (infinite) modal approach for systems control and operation in varying parameters environment. In this approach, the system is run under varying parameters form where the variations are sensed and fed back in a continuous manner for determining using symbolic-based expressions the cor...

Good practice in smart grids is networked sensors topologies which give the ability to fuse sensors to obtain a new feature based on sensors’ complementarity. Moreover, to get a prediction based on other sensors, possibly in other areas, in case of sensor failure. This ability may be achieved by correlating sensor data based on their historical obs...

Most types of networks depend on fixed resources in their configuration, but these fixed resources are not effective, especially in the case of a problem in any of these resources. This may lead to a defect in the entire network until the problem is resolved and therefore there must some alternatives for such situations. In this paper, the concept...

In this paper, the first Consolidity-based inhibitors theory of change paradigm is introduced based on the two levels of "Time driven-Event driven" parameters change configuration. The inhibitors are characterized by their ability to slowdown or speed-up the physical systems progress without being part of their mathematical formulations. The new pa...

Most types of networks depend on fixed resources in their configuration, but these fixed resources are not effective, especially in the case of a problem in any of these resources. This may lead to a defect in the entire network until the problem is resolved and therefore there must be an alternative to replace the fixed resources in such cases. In...

This paper presents a new generic approach for the derivation and implementation of feedback gains of automatic control systems using symbolic-based representation of feedback stabilization functions. The derivation part is based on the exact mathematical symbolic-based formulation of the control problem, where feedback gains are derived in a symbo...

Renewable energy resources have a great influence on country’s future planning. However, building such investments needs reliable and accurate studies based on huge information and historical data, that might be considered a great challenge. Thus, generating some form of artificial or what they call it "synthetic" patterns that give the same hidden...

This paper investigates the problem of fully symbolic-based representation for parameter varying systems. Despite the widespread of numerical analysis, it is less efficient compared to symbolic-based methods. Nevertheless, symbolic-based methodologies suffer from high complexity raw output expressions which make it difficult to be dealt with in con...

Most types of networks depend on fixed resources in their configuration, but these fixed resources are not effective, especially in the case of a problem in any of these resources. This may lead to a defect in the entire network until the problem is resolved and therefore there must be an alternative to replace the fixed resources in such cases. In...

The purpose of this paper is to control the trajectory of the nonlinear missile model in the pitch channel by using Fractional PID controller (FPID) and Gain Schedule Fractional PID controller (GSFPID). FPID and GSFPID with nonlinear missile model are designed where their parameters are tuned by Simulink design optimization in the Matlab toolbox. T...

Consolidity is a new noun which means both the act and quality of consolidation. The concept was originally developed by Dr. Hassen Taher Dorrah and Dr. Walaa Ibrahim Gabr in the year 2010. Consolidity determines the scaling metrics of system change under effects all over the universe. Moreover, Consolidity provides an effective mathematical-based...

A recent new research has revealed that real life systems follow similar “fractals-general” stacking behavior during their change pathways when subjected to affecting environments and events “on and above” their normal behavior or set points. In this paper, the system change pathway is investigated through cleverly neutralizing time in the analysis...

Development of New Systems Paradigm Based on the “Time Driven-Event Driven-Parameter Change” with Applications: Ph. D. Thesis Authored by Ahmed Rabie Ginidi Ginidi and Supervised by Professor Dr. Hassen Taher Dorrah. A thesis submitted to the Faculty of Engineering, Cairo University, in partial Fulfillment of the requirements of the degree of Doc...

Inhibitors have a long history of use in psychiatry and neurology as mood stabilizers and anti-epileptics. More recently they are being investigated as possible treatments for cancers, HIV, parasitic and inflammatory diseases. Consolidity (originally developed by Dr. Hassen Taher Dorrah and Dr. Walaa Ibrahim Gabr in the year 2010) on the other ha...

This paper proposes two mathematical methods for constructing the minimum area consolidity region (chart) under the condition of passing the major axis of ellipse through origin. The physical significance of the consolidity chart is that it marks the boundary of all system interactive behavior resulting from all exhaustive fuzzy internal and extern...

This paper presents a new generic approach for the derivation and implementation of feedback gains of automatic control systems using symbolic-based representation of feedback stabilization functions. The derivation part is based on the exact mathematical symbolic-based formulation of the control problem, where feedback gains are derived in a symbo...

Recent researches have shown that, everywhere in various sciences the systems are following stacked-based stored change behavior when subjected to events or varying environments “on and above” their normal situations. This paper presents a generalized data stack programming (GDSP) model which is developed to describe the system changes under varyin...

This paper focuses on the application of PI/PID controller tuned with Adaptive Weighted Particle Swarm Optimization (AWPSO) algorithm on the load frequency control of power systems. This effect will be studied for two areas power systems with multiple thermal energy resources and a stand alone gas turbine system. A load deviation of different value...

The two-coupled distillation column process is a physically complicated system in many aspects. Specifically, the nested interrelationship between system inputs and outputs constitutes one of the significant challenges in system control design. Mostly, such a process is to be decoupled into several input/output pairings (loops), so that a single co...

Ambiguity in the real world is a common phenomenon. Much of the information on which decisions are based are most uncertain. People have extraordinarily skill-based modules for logical decisions in such situations of vague, imprecise and/or missing information. This ability to formalize the problem to some degree can be a challenge, not usually eas...

This paper focuses on the application of PI/PID controller tuned byAdaptive Weighted Particle Swarm Optimization (AWPSO) algorithm to car suspension system. The optimization step has been achieved based on three error criterion. These are: The Integral of Square Error (ISE), the Integral of Absolute Error (IAE) and the Itegral of Time Absolute Erro...

This paper introduces the application of PI/PID controller tuned with Particle Swarm Optimization (PSO), Adaptive Weighted Particle Swarm Optimization (AWPSO) algorithms into the field of chemical engineering. The application deals with the temperature and concentration control for Continuous Stirred Tank Reactor (CSTR). The optimization step has b...

This paper provides a new technique of multi-sensor data fusion to achieve an optimal spatial design and power operation of integrated Renewable Energy Grids (REG). This new approach depends on making a sensor data fusion system depending on the spatial concepts for measuring the important climate parameters, which have a great effect on the perfor...

Generalized Data Stack Programming (GDSP) model describes that any affected activity or varying environment is intelligently self-recorded inside the system in form of stack-based layering types where stack is re-defined to be one of six classes. The multi-stacking network is presented thinking of that any system connects to other system to work pr...

Generalized Data Stack Programming (GDSP) model describes that any affected activity or varying environment is intelligently self-recorded inside the system in form of stack-based layering types where stack is re-defined to be one of six classes. The multi-stacking network is presented thinking of that any system connects to other system to work pr...

A recent study has shown that everywhere real systems follow common “fractals-general stacking behavior” during their change pathways (or evolutionary life cycles). This fact leads to the emergence of the new discipline “Fractals-General Science” as a mother-discipline (and acting as upper umbrella) of existing natural and applied sciences to commo...

This paper presents an elaborated analysis for investigating the stack-based layering processes during the systems change pathway. The system change pathway is defined as the path resulting from the combinations of all successive changes induced on the system when subjected to varying environments, activities, events, or any excessive internal or e...

A new updated conceptual systems change pathway graph for natural and man-made built-as-usual physical systems is developed following a joint two-level event-driven (or activity-driven) and time-driven framework. The events and activities “on and above” the normal systems operations are recognized in the form of high influencing level (referred to...

Traditionally, objects which are stored in stack are kept in a pile.However, stacking is applied for describing the physical system changes in a more general sense than the conventional form since stack has lots of applications in many areas. Accordingly, six classes of the stack were recently introduced for describing the system change pathway und...

With the recent uncovering of the mystery of consolidity as an inner property of systems, it is demonstrated that this notion is an indispensable pillar of systems modeling, analysis, design and building. Based on the opposite mathematical relation between consolidity versus stability and controllability, a new conceptual life cycle (change pathwa...

This paper is directed towards confirming the important role of the consolidity index in the analysis and design of real life systems. Consolidity is an internal property of systems that plays an essential role in governing their parameters changes when subjected to events or varying environments “on and above” their normal operations or original s...

This paper uncovers the mystery of consolidity, an inner property of systems that was amazingly hidden. Consolidity also reveals the secrecy of why strong stable and highly controllable systems are not invulnerable of falling and collapsing. Consolidity is measured by its Consolidity Index, defined as the ratio of overall changes of output paramete...

Normally, the highly interacted MIMO process textendash such as two coupled distillation columns textendash is decoupled into a group of independent loops and a conventional PID controller is assigned to control each loop. Tuning of conventional PID controllers is very difficult. Scientists consider tuning of PID controllers is an art more than sci...

Designing and implementing intelligent systems has become a crucial factor for the innovation and development of better products of space technologies. A neural network is a parallel system, capable of resolving paradigms that linear computing cannot. Field programmable gate array (FPGA) is a digital device that owns reprogrammable properties and r...

The goal is to control the trajectory of the flight path of six degree of freedom flying body model using fractional PID. The design of fractional PID controller for the six degree of freedom flying body is described. The parameters of fractional PID controller are optimized by particle swarm optimization (PSO) method. In the optimization process,...

Aeration of water by using PEM fuel cell power is not only a new application of the renewable energy, but also, it provides an affordable method to promote biodiversity in stagnant ponds and lakes. This paper presents a new design and control of PEM fuel cell powered by diffused air aeration system for a shrimp farm in Mersa Matruh in Egypt. Also A...

As energy demands around the world increase, the need for a renewable energy sources that will not harm the environment is increased. The overall objective of renewable energy systems is to obtain electricity with competitive cost and even benefit with respect to other energy sources. The optimal design of renewable energy system can significantly...

Aeration of water by using PEM fuel cell power is not only a new application of the renewable energy, but also, it provides an affordable method to promote biodiversity in stagnant ponds and lakes. This paper presents a new design and control of PEM fuel cell powered by diffused air aeration system for a shrimp farm in Mersa Matruh in Egypt. Also A...

Satellite earth stations which located in remote areas are one of many applications powered by the renewable energy sources. Ground system consists of ground station and control centers working together to support the spacecraft and the data user. Earth station consists of major subsystems, transmitter, receiver, antenna, tracking equipment, terres...

Automation of generating hardware description language code of neural networks models can highly decrease time of implementation those networks into a digital devices, thus significant money savings. To implement the neural network into hardware design, it is required to translate generated model into device structure. VHDL language is used to desc...

Long Term Evolution (LTE) is a standard for wireless communication of high-speed data for mobile phones and data terminals. Due to the LTE standard covers a range of many different bands in each country, therefore an antenna with more than one frequency bands become one of the most important needs in LTE antenna. In this paper, a novel triangular d...

Automation of generating hardware description language code from neural networks models can highly decrease time of implementation those networks into a digital devices, thus significant money savings. To implement the neural network into hardware designer, it is required to translate generated model into device structure. VHDL language is used to...

Predicting timing of student graduation would be a valuable input for the management of a Department at a University. However, this is a difficult task if it is done manually. With the help of learning on the existing Artificial Neural Networks, it is possible to provide training with a certain configuration, in which based on experience of previou...

This paper establishes the foundation of new systemstextquoteright Consolidity Theory using the Arithmetic Fuzzy Logic-Based Representation approach for investigating the internal behavior of systems operating in fully fuzzy environment. Consolidated systems are defined as being stable at the original state, but due to fuzzy variations in their inp...

This paper provides a method one can model manufacturing processes in hybrid systems framework utilizing simple bond graph to determine the flow of events and differential equation models that describe the system dynamics. Controlling of these systems can be easy to develop. textquotedblleftModeling and Simulation of thermal Power generation Statio...

During the past decade, pond aeration systems have been developed which will sustain large quantities of fish and invertebrate biomass. Dissolved Oxygen (DO) is considered to be among the most important water quality parameters in fish culture. Fishponds in aquaculture farms are usually located in remote areas where grid lines are at far distance....