Operations Research, Systems Engineering and Industrial Engineering Commons^™

Modeling And Computer Simulation Of Fault Calculations For Transmission Lines, Dr. Adel A. Elbaset

Dr. Adel A. Elbaset

Calculation of transmission line faults has a fundamental importance in the fault detection, classification, and location determination of faults in transmission line. This paper presents a proposed computer program based on Matlab software to calculate all ten types of shunt faults that may occur in a transmission line. Various fault scenarios (fault types, fault locations and fault impedance) are considered in this paper. The inputs of the proposed program are line length, source voltage, positive, negative and zero sequence for source impedance, line charging, and transmission line impedance. The output of the algorithm is used to train an artificial intelligence …

Reinforcement-Learning-Based Output-Feedback Control Of Nonstrict Nonlinear Discrete-Time Systems With Application To Engine Emission Control, Peter Shih, Brian C. Kaul, Jagannathan Sarangapani, J. A. Drallmeier

Electrical and Computer Engineering Faculty Research & Creative Works

A novel reinforcement-learning-based output adaptive neural network (NN) controller, which is also referred to as the adaptive-critic NN controller, is developed to deliver the desired tracking performance for a class of nonlinear discrete-time systems expressed in nonstrict feedback form in the presence of bounded and unknown disturbances. The adaptive-critic NN controller consists of an observer, a critic, and two action NNs. The observer estimates the states and output, and the two action NNs provide virtual and actual control inputs to the nonlinear discrete-time system. The critic approximates a certain strategic utility function, and the action NNs minimize the strategic utility …

Neural Network Control Of Mobile Robot Formations Using Rise Feedback, Jagannathan Sarangapani, Travis Alan Dierks

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, an asymptotically stable (AS) combined kinematic/torque control law is developed for leader-follower-based formation control using backstepping in order to accommodate the complete dynamics of the robots and the formation, and a neural network (NN) is introduced along with robust integral of the sign of the error feedback to approximate the dynamics of the follower as well as its leader using online weight tuning. It is shown using Lyapunov theory that the errors for the entire formation are as and that the NN weights are bounded as opposed to uniformly ultimately bounded stability which is typical with most …

Network Optimization Of Dynamically Complex Systems, Ramez Ahmed Shamseldin

Engineering Management & Systems Engineering Theses & Dissertations

The aim of this research is to optimize large scale network handling capabilities for large system inventories and to implement strategies for the purpose of reducing capital expenses. As computers become more and more networked, it is easier to share files among storage media. In addition, more bandwidth will be consumed by network flow because customers will be connected through networks which will transfer files and data, such as video files (MPEGn, AVI, WMV, etc.) to be watched at a customer's computer (host). Furthermore, these networks terminals will be used as mini warehouses to save files and data. Selective files …

Electric Energy Sector In Egypt: A Review, Dr. Adel A. Elbaset

Dr. Adel A. Elbaset

No abstract provided.

Investments In Energy Technological Change Under Uncertainty, Ekundayo Shittu

Doctoral Dissertations 1896 - February 2014

This dissertation addresses the crucial problem of how environmental policy uncertainty influences investments in energy technological change. The rising level of carbon emissions due to increasing global energy consumption calls for policy shift. In order to stem the negative consequences on the climate, policymakers are concerned with carving an optimal regulation that will encourage technology investments. However, decision makers are facing uncertainties surrounding future environmental policy. The first part considers the treatment of technological change in theoretical models.

This part has two purposes: (1) to show-through illustrative examples-that technological change can lead to quite different, and surprising, impacts on the …

Optimal Design Of Wind-Pv-Diesel-Battery System Using Genetic Algorithm, Dr. Adel A. Elbaset

Dr. Adel A. Elbaset

The optimization of diesel generators (DGs) and renewable energy sources have to be done within a cost benefit, high reliability and environmentally friendly framework. Most of optimization method just consider only from economical point of view. This paper presents complete optimization method involving of cost, reliability and pollutant emission into optimization process. The reliability level is analyzed using basic probabilistic concept in order to find loss of load probability (LOLP). This value is then used to determine the customer damage cost due to electricity interruption. Meanwhile, CO2 emission as an indicator of pollution is calculated to determine the annual emission …

Analysis Of Possible Use Of Identification Technologies In Disassembly, Vukica Jovanović, Sreten Filipović, Gordana Ostojić, Stevan Stankovski, Milovan Lazarević

Engineering Technology Faculty Publications

The barcodes and Radio Frequency Identification tags that are being used during manufacturing, assembly, warehousing, and distribution could also be reused at the end of the product lifecycle for an identification of the correct disassembly process that would result in recycling of its components. The barcodes or RFID tags can be helpful in identifying objects in terms of sustainable development, regarding disassembly, recycling and reuse. In this paper, the analysis of the current applications of RFID Technology in the final phase of the product lifecycle will be presented. The simulation of the disassembly process supported by both barcode and RFID-enabled …