Stability Analysis Of A More General Class Of Systems With Delay-Dependent Coefficients, 2019 Laboratoire des Signaux et Syst`emes (L2S) CentraleSup´elec-CNRS-Universit´e Paris Sud, 3 rue Joliot- Curie 91192 Gif-sur-Yvette cedex, France.
Stability Analysis Of A More General Class Of Systems With Delay-Dependent Coefficients, Chi Jin, Keqin Gu, Islam Boussaada, Silviu-Iulian Niculescu
SIUE Faculty Research, Scholarship, and Creative Activity
This paper presents a systematic method to analyse the stability of systems with single delay in which the coefficient polynomials of the characteristic equation depend on the delay. Such systems often arise in, for example, life science and engineering systems. A method to analyze such systems was presented by Beretta and Kuang in a 2002 paper, but with some very restrictive assumptions. This work extends their results to the general case with the exception of some degenerate cases. It is found that a much richer behavior is possible when the restrictive assumptions are removed. The interval of interest for the ...
Quadrotor Swarm Arena (Quasar) Development Of A Swarm Control Testbed, 2018 Embry-Riddle Aeronautical University
Quadrotor Swarm Arena (Quasar) Development Of A Swarm Control Testbed, Shane T. Stebler, William Mackunis
Beyond: Undergraduate Research Journal
Swarm control systems are increasingly popular in the robotics industry and academia due to their many potential applications. The goal of the Quadrotor Swarm Arena (QuaSAr) project is to construct a quadrotor swarm control testbed to provide researchers with the tools needed to experimentally investigate this emerging science. This testbed is equipped with a motion capture system, test control station, and numerous quadrotor UAVs. MATLAB-Simulink is utilized for control law development, data processing, and test control. This configuration allows researchers to test developing control law in a 'plug and play' manner as control development and test control are all completed ...
Microgrid Protection Student Laboratory: Human-Machine Interface And Scada Database, 2018 California Polytechnic State University, San Luis Obispo
Microgrid Protection Student Laboratory: Human-Machine Interface And Scada Database, Nathan P. Martinez
The electric utility system, a ubiquitous and fundamental component of modern life, has changed more in the last 20 years than the last 100. With more homes and businesses installing distributed energy resources (DERs) such as solar panels, battery storage, and other intermittent sources, massive changes need to take place in the electric transmission and distribution systems. Engineers must develop a new skill set for a modern utility industry. This project summarizes a component for a new laboratory class aimed at power engineering students at Cal Poly which supports the laboratory through the creation of a human-machine interface (HMI) and ...
Artificial Neural Network-Based Robotic Control, 2018 California Polytechnic State University, San Luis Obispo
Artificial Neural Network-Based Robotic Control, Justin Ng
Master's Theses and Project Reports
Artificial neural networks (ANNs) are highly-capable alternatives to traditional problem solving schemes due to their ability to solve non-linear systems with a nonalgorithmic approach. The applications of ANNs range from process control to pattern recognition and, with increasing importance, robotics. This paper demonstrates continuous control of a robot using the deep deterministic policy gradients (DDPG) algorithm, an actor-critic reinforcement learning strategy, originally conceived by Google DeepMind. After training, the robot performs controlled locomotion within an enclosed area. The paper also details the robot design process and explores the challenges of implementation in a real-time system.
Development Of A Fully Instrumented, Resonant Tensegrity Strut, 2018 Union College
Development Of A Fully Instrumented, Resonant Tensegrity Strut, Kentaro Barhydt
A tensegrity is a structure composed of a series of rigid members connected in static equilibrium by tensile elements. A vibrating tensegrity robot is an underactuated system in which a set of its struts are vibrated at certain frequency combinations to achieve various locomotive gaits. Evolutionary robotics research lead by Professor John Rieffel focuses on exploiting the complex dynamics of tensegrity structures to control locomotion in vibrating tensegrity robots by finding desired gaits using genetic algorithms. A current hypothesis of interest is that the optimal locomotive gaits of a vibrating tensegrity exist at its resonant frequencies.
In order to observe ...
Applications Of Complex Network Analysis In Electric Power Systems, 2018 CUNY City College
Applications Of Complex Network Analysis In Electric Power Systems, Mahmoud Saleh, Yusef Esa, Ahmed Mohamed
Publications and Research
This paper provides a review of the research conducted on complex network analysis (CNA) in electric power systems. Moreover, a new approach is presented to find optimal locations for microgrids (MGs) in electric distribution systems (EDS) utilizing complex network analysis. The optimal placement in this paper points to the location that will result in enhanced grid resilience, reduced power losses and line loading, better voltage stability, and a supply to critical loads during a blackout. The criteria used to point out the optimal placement of the MGs were predicated on the centrality analysis selected from the complex network theory, the ...
Design Of A Distributed Real-Time E-Health Cyber Ecosystem With Collective Actions: Diagnosis, Dynamic Queueing, And Decision Making, 2018 University of Nebraska - Lincoln
Design Of A Distributed Real-Time E-Health Cyber Ecosystem With Collective Actions: Diagnosis, Dynamic Queueing, And Decision Making, Yanlin Zhou
Theses, Dissertations, and Student Research from Electrical & Computer Engineering
In this thesis, we develop a framework for E-health Cyber Ecosystems, and look into different involved actors. The three interested parties in the ecosystem including patients, doctors, and healthcare providers are discussed in 3 different phases. In Phase 1, machine-learning based modeling and simulation analysis is performed to remotely predict a patient's risk level of having heart diseases in real time. In Phase 2, an online dynamic queueing model is devised to pair doctors with patients having high risk levels (diagnosed in Phase 1) to confirm the risk, and provide help. In Phase 3, a decision making paradigm is ...
Automated Control System Design Manual For Plant Growth And Support, 2018 University of Arkansas, Fayetteville
Automated Control System Design Manual For Plant Growth And Support, Brooke Benham
Biological and Agricultural Engineering Undergraduate Honors Theses
The “Automated Control System Design Manual for Plant Growth and Support” project contains a teaching manual for high school students and teachers to use to aid in teaching STEM subjects. Building confidence in students and encouraging the pursuit of STEM related fields is one of the primary functions. This project utilizes low cost instruments and freely available software to teach the construction, installation, programming, and application for an automated control system with emphasis on plant growth and regulation. The end result is a fully automated system that can be controlled wirelessly via an android application to monitor temperature, humidity, and ...
Scada And Plc Systems Configuration For The Ncrept Test Facility, 2018 University of Arkansas, Fayetteville
Scada And Plc Systems Configuration For The Ncrept Test Facility, Arman Ahmed
Electrical Engineering Undergraduate Honors Theses
This thesis details the project to update the control and interface system of the National Center for Reliable Electric Power Transmission (NCREPT) testing facility. The need for this project arose from the 2017-2018 expansion of the facility, which included some modifications in the layout of electrical equipment used for testing purposes. These modifications necessitated the update of the control and interface system. Additionally, the old system was implemented a decade ago and is nearing obsolescence, so the facility’s expansion served as an opportune time for an upgrade.
There were two main parts to the scope of this project, which ...
Application Of Modular Multilevel Converters (Mmc) Using Phase-Shifted Pwm And Selective Harmonic Elimination In Distribution Systems, 2018 University of Arkansas, Fayetteville
Application Of Modular Multilevel Converters (Mmc) Using Phase-Shifted Pwm And Selective Harmonic Elimination In Distribution Systems, Thouhidul Islam
Theses and Dissertations
Reducing the size and weight of a power electric system is a prodigious challenge to researchers as the development of the latest technologies emerge in the field of electrical engineering. A similar urge is there to develop a light-weight mobile power substation (MPS) to use in the electric power distribution systems during emergency conditions. This thesis proposes a power electronics based solution using the modular multilevel converter (MMC) topology to design the MPS system. The market-available power semiconductor devices are analyzed and suitable devices are selected to design the system. The phase-shifted pulse width modulation (PS-PWM) and selective harmonic elimination ...
Challenges In Flexible Microsystem Manufacturing : Fabrication, Robotic Assembly, Control, And Packaging., 2018 University of Louisville
Challenges In Flexible Microsystem Manufacturing : Fabrication, Robotic Assembly, Control, And Packaging., Danming Wei
Electronic Theses and Dissertations
Microsystems have been investigated with renewed interest for the last three decades because of the emerging development of microelectromechanical system (MEMS) technology and the advancement of nanotechnology. The applications of microrobots and distributed sensors have the potential to revolutionize micro and nano manufacturing and have other important health applications for drug delivery and minimal invasive surgery. A class of microrobots studied in this thesis, such as the Solid Articulated Four Axis Microrobot (sAFAM) are driven by MEMS actuators, transmissions, and end-effectors realized by 3-Dimensional MEMS assembly. Another class of microrobots studied here, like those competing in the annual IEEE Mobile ...
Grid-Connected Photovoltaic Systems Based On Nonlinear Control., 2018 University of Louisville
Grid-Connected Photovoltaic Systems Based On Nonlinear Control., Pablo R. Rivera
Electronic Theses and Dissertations
Nowadays, due to the high-scale penetration of photovoltaic systems, reliable and efficient grid-connected photovoltaic (PV) systems utilizing the advances of power electronics and control system technology are desirable. Thus, single-stage grid-connected photovoltaic systems, have gained attention, especially in low voltage applications. However, PV systems exhibit nonlinear behavior that could negatively affect the performance of the system if they are not adequately compensated for. In this dissertation, using the general structure for the synchronous dq0 frame, a single-stage three-phase grid-connected photovoltaic system, and a single-stage single-phase grid-connected PV system, both with a nonlinear control strategy, are developed to track the maximum ...
Controllability And Observability Of The Discrete Fractional Linear State-Space Model, 2018 Western Kentucky University
Controllability And Observability Of The Discrete Fractional Linear State-Space Model, Duc M. Nguyen
Masters Theses & Specialist Projects
This thesis aims to investigate the controllability and observability of the discrete fractional linear time-invariant state-space model. First, we will establish key concepts and properties which are the tools necessary for our task. In the third chapter, we will discuss the discrete state-space model and set up the criteria for these two properties. Then, in the fourth chapter, we will attempt to apply these criteria to the discrete fractional model. The general flow of our objectives is as follows: we start with the first-order linear difference equation, move on to the discrete system, then the fractional difference equation, and finally ...
Development And Testing Of 3d Printed Prostheses, Orthoses, And Assistive Devices For Children And Adults, 2018 University of Nebraska at Omaha
Development And Testing Of 3d Printed Prostheses, Orthoses, And Assistive Devices For Children And Adults, Walker Arce
Student Research and Creative Activity Fair
User controllable interfaces for exoskeletons have consisted of either switch controlled interfaces, for ‘on’ or ‘off’, or elastic powered schemes that allow the user’s wrist flexion to provide the resistance for their therapy. This project aims to develop a hands-free mode of control for the exoskeleton, that uses more advanced electronic components to achieve a more natural user interface. Our approach to this project is the prototyping of a control system that uses the MyoBand Gesture Control Armband (MyoBand), and a simple Arduino based electronic design. The three modes of operation possible for this design is measuring the electrical ...
Drafting In Self-Timed Circuits, 2018 Portland State University
Drafting In Self-Timed Circuits, Christopher Cowan
Electrical & Computer Engineering PhD Day
Intervals between data items propagating in self-timed circuits are controlled by handshake signals rather than by a clock. The sequence of handshakes can be abstracted as the movement of “tokens”. In many self-timed designs, a trailing token will catch up with a leading token, even when it trails by thousands of gate delays. Simulations in SPICE of a simple GasP circular FIFO reveal this effect. Contrary to earlier work, we find the cause of drafting to be charge stored on an isolated node between two series transistors. This mechanism occurs in many decision gates that implement a logical AND. The ...
From A Locally Competitive Algorithm To Sensory Relevance Models, 2018 Portland State University
From A Locally Competitive Algorithm To Sensory Relevance Models, Walter Woods
Electrical & Computer Engineering PhD Day
This poster addresses the development of a new Machine Learning (ML) mechanism, the Sensory Relevance Model (SRM), as a means of splitting information processing tasks into two sub-tasks with more intuitive properties. Specifically, SRMs are a front-end for other ML techniques, re-mapping the input data to a similar space with significantly more sparsity, achieved through the transformation and suppression of inputs irrelevant to the task. Prior work has attempted to reveal this information for Neural Networks (NNs) either as a post-processing step via saliency maps or through a simple masking of the input achieved with a dot product (so-called ``attention ...
Coaxial Magnetic Gearbox With A Flux Concentration Halbach Rotor And Consequent Pole Rotor Typology, 2018 Portland State University
Coaxial Magnetic Gearbox With A Flux Concentration Halbach Rotor And Consequent Pole Rotor Typology, Ho Yin Wong
Electrical & Computer Engineering PhD Day
This paper presents the performance comparison between a flux concentration and triple permanent magnet consequent pole magnetic gear rotor typology with the same 7.5:1 gear ratio. The triple permanent magnet consequent pole magnetic gear is unique in that it can create torque change through two field heterodyning pole combinations. The performance with respect to volumetric and mass torque density is considered. It is shown that the flux concentration typology can operate with a higher mass and volumetric higher torque density, even when using a low flux concentration ratio rotor.
Efficient Dynamic Centrality Metrics For Election Advertising - A Case Study, 2018 Yale Institute for Network Science
Efficient Dynamic Centrality Metrics For Election Advertising - A Case Study, Soheil Eshghi, Leandros Tassiulas
Yale Day of Data
In prior work , we have shown how advertising channels should be chosen by a budget-constrained electoral campaign. In this poster, we apply the resulting proposed algorithm to the MIT Social Evolution  data-set (N=84), which captured political discussions, inclinations, and voting behaviors around the 2008 US Presidential Election within a student dorm. We compare the resulting centrality metrics developed from our algorithm (which have a direct mapping to optimal channel choice decisions) against more traditional static centralities, and show how employing them leads to more votes.
 Eshghi, S., Preciado, V.M., Sarkar, S., Venkatesh, S.S., Zhao ...
Learning And Control Using Gaussian Processes, 2018 University of Pennsylvania
Learning And Control Using Gaussian Processes, Achin Jain, Truong X Nghiem, Manfred Morari, Rahul Mangharam
Real-Time and Embedded Systems Lab (mLAB)
Building physics-based models of complex physical systems like buildings and chemical plants is extremely cost and time prohibitive for applications such as real-time optimal control, production planning and supply chain logistics. Machine learning algorithms can reduce this cost and time complexity, and are, consequently, more scalable for large-scale physical systems. However, there are many practical challenges that must be addressed before employing machine learning for closed-loop control. This paper proposes the use of Gaussian Processes (GP) for learning control-oriented models: (1) We develop methods for the optimal experiment design (OED) of functional tests to learn models of a physical system ...
Some Insights Into The Migration Of Double Imaginary Roots Under Small Deviation Of Two Parameters, 2018 Laboratoire des Signaux et Systèmes (L2S) CNRS-CentraleSupélec-Université Paris-Sud, 3 rue Joliot-Curie, 91192 Gif-sur-Yvette cedex, France
Some Insights Into The Migration Of Double Imaginary Roots Under Small Deviation Of Two Parameters, Dina Alina Irofti, Keqin Gu, Islam Boussaada, Silviu-Iulian Niculescu
SIUE Faculty Research, Scholarship, and Creative Activity
This paper studies the migration of double imaginary roots of the systems’ characteristic equation when two parameters are subjected to small deviations. The proposed approach covers a wide range of models. Under the least degeneracy assumptions, we found that the local stability crossing curve has a cusp at the point that corresponds to the double root, and it divides the neighborhood of this point into an S-sector and a G-sector. When the parameters move into the G-sector, one of the roots moves to the right halfplane, and the other moves to the left half-plane. When the parameters move into the ...