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 Publications (3)
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Articles 1  30 of 33
FullText Articles in Engineering
Mitigating Safety Concerns And Profit/Production Losses For Chemical Process Control Systems Under Cyberattacks Via Design/Control Methods, Helen Durand, Matthew Wegener
Mitigating Safety Concerns And Profit/Production Losses For Chemical Process Control Systems Under Cyberattacks Via Design/Control Methods, Helen Durand, Matthew Wegener
Chemical Engineering and Materials Science Faculty Research Publications
One of the challenges for chemical processes today, from a safety and profit standpoint, is the potential that cyberattacks could be performed on components of process control systems. Safety issues could be catastrophic; however, because the nonlinear systems definition of a cyberattack has similarities to a nonlinear systems definition of faults, many processes have already been instrumented to handle various problematic input conditions. Also challenging is the question of how to design a system that is resilient to attacks attempting to impact the production volumes or profits of a company. In this work, we explore a process/equipment design framework ...
Responsive Economic Model Predictive Control For NextGeneration Manufacturing, Helen Durand
Responsive Economic Model Predictive Control For NextGeneration Manufacturing, Helen Durand
Chemical Engineering and Materials Science Faculty Research Publications
There is an increasing push to make automated systems capable of carrying out tasks which humans perform, such as driving, speech recognition, and anomaly detection. Automated systems, therefore, are increasingly required to respond to unexpected conditions. Two types of unexpected conditions of relevance in the chemical process industries are anomalous conditions and the responses of operators and engineers to controller behavior. Enhancing responsiveness of an advanced control design known as economic model predictive control (EMPC) (which uses predictions of future process behavior to determine an economically optimal manner in which to operate a process) to unexpected conditions of these types ...
DataDriven Model Predictive Control Using Random Forests For Building Energy Optimization And Climate Control, Francesco Smarra, Achin Jain, Tullio De Rubeis, Dario Ambrosini, Alessandro D'Innocenzo, Rahul Mangharam
DataDriven Model Predictive Control Using Random Forests For Building Energy Optimization And Climate Control, Francesco Smarra, Achin Jain, Tullio De Rubeis, Dario Ambrosini, Alessandro D'Innocenzo, Rahul Mangharam
RealTime and Embedded Systems Lab (mLAB)
Model Predictive Control (MPC) is a modelbased technique widely and successfully used over the past years to improve control systems performance. A key factor prohibiting the widespread adoption of MPC for complex systems such as buildings is related to the difficulties (cost, time and effort) associated with the identification of a predictive model of a building. To overcome this problem, we introduce a novel idea for predictive control based on historical building data leveraging machine learning algorithms like regression trees and random forests. We call this approach Datadriven model Predictive Control (DPC), and we apply it to three different case ...
DataDriven Switched Affine Modeling For Model Predictive Control, Francesco Smarra, Achin Jain, Rahul Mangharam, Alessandro D'Innocenzo
DataDriven Switched Affine Modeling For Model Predictive Control, Francesco Smarra, Achin Jain, Rahul Mangharam, Alessandro D'Innocenzo
RealTime and Embedded Systems Lab (mLAB)
Model Predictive Control (MPC) is a wellconsolidated technique to design optimal control strategies, leveraging the capability of a mathematical model to predict the system’s behavior over a predictive horizon. However, building physicsbased models for largescale systems, such as buildings and process control, can be cost and time prohibitive. To overcome this problem we propose in this paper a methodology to exploit machine learning techniques (i.e. regression trees and random forests) in order to build a statespace switched affine dynamical model of a large scale system only using historical data. Finite Receding Horizon Control (RHC) setup using controloriented datadriven ...
Some Insights Into The Migration Of Double Imaginary Roots Under Small Deviation Of Two Parameters, Dina Alina Irofti, Keqin Gu, Islam Boussaada, SilviuIulian Niculescu
Some Insights Into The Migration Of Double Imaginary Roots Under Small Deviation Of Two Parameters, Dina Alina Irofti, Keqin Gu, Islam Boussaada, SilviuIulian 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 Ssector and a Gsector. When the parameters move into the Gsector, one of the roots moves to the right halfplane, and the other moves to the left halfplane. When the parameters move into the ...
Communication Based Control For Dc Microgrids, Mahmoud S. Saleh, Yusef Esa, Ahmed Mohamed
Communication Based Control For Dc Microgrids, Mahmoud S. Saleh, Yusef Esa, Ahmed Mohamed
Publications and Research
Centralized communicationbased control is one of the main methods that can be implemented to achieve autonomous advanced energy management capabilities in DC microgrids. However, its major limitation is the fact that communication bandwidth and computation resources are limited in practical applications. This can be often improved by avoiding redundant communications and complex computations. In this paper, an autonomous communicationbased hybrid state/event driven control scheme is proposed. This control scheme is hierarchical and heuristic, such that on the primary control level, it encompasses statedriven local controllers, and on the secondary control level, an eventdriven MG centralized controller (MGCC) is used ...
Strong Stability Of A Class Of Difference Equations Of Continuous Time And Structured Singular Value Problem, Qian Ma, Keqin Gu, Narges Choubedar
Strong Stability Of A Class Of Difference Equations Of Continuous Time And Structured Singular Value Problem, Qian Ma, Keqin Gu, Narges Choubedar
SIUE Faculty Research, Scholarship, and Creative Activity
This article studies the strong stability of scalar difference equations of continuous time in which the delays are sums of a number of independent parameters tau_i, i = 1, 2, . . . ,K. The characteristic quasipolynomial of such an equation is a multilinear function of exp(tau_i s). It is known that the characteristic quasipolynomial of any difference equation set in the form of onedelayper scalarchannel (ODPSC) model is also in such a multilinear form. However, it is shown in this article that some multilinear forms of quasipolynomials are not characteristic quasipolynomials of any ODPSC difference equation set. The equivalence between local strong ...
Data Predictive Control Using Regression Trees And Ensemble Learning, Achin Jain, Francesco Smarra, Rahul Mangharam
Data Predictive Control Using Regression Trees And Ensemble Learning, Achin Jain, Francesco Smarra, Rahul Mangharam
RealTime and Embedded Systems Lab (mLAB)
Decisions on how to best operate large complex plants such as natural gas processing, oil refineries, and energy efficient buildings are becoming ever so complex that modelbased predictive control (MPC) algorithms must play an important role. However, a key factor prohibiting the widespread adoption of MPC, is the cost, time, and effort associated with learning firstprinciples dynamical models of the underlying physical system. An alternative approach is to employ learning algorithms to build blackbox models which rely only on realtime data from the sensors. Machine learning is widely used for regression and classification, but thus far datadriven models have not ...
ClusteringBased Robot Navigation And Control, Omur Arslan
ClusteringBased Robot Navigation And Control, Omur Arslan
Departmental Papers (ESE)
In robotics, it is essential to model and understand the topologies of configuration spaces in order to design provably correct motion planners. The common practice in motion planning for modelling configuration spaces requires either a global, explicit representation of a configuration space in terms of standard geometric and topological models, or an asymptotically dense collection of sample configurations connected by simple paths, capturing the connectivity of the underlying space. This dissertation introduces the use of clustering for closing the gap between these two complementary approaches. Traditionally an unsupervised learning method, clustering offers automated tools to discover hidden intrinsic structures in ...
VoronoiBased Coverage Control Of Heterogeneous DiskShaped Robots, Omur Arslan, Daniel E. Koditschek
VoronoiBased Coverage Control Of Heterogeneous DiskShaped Robots, Omur Arslan, Daniel E. Koditschek
Departmental Papers (ESE)
In distributed mobile sensing applications, networks of agents that are heterogeneous respecting both actuation as well as body and sensory footprint are often modelled by recourse to power diagrams — generalized Voronoi diagrams with additive weights. In this paper we adapt the body power diagram to introduce its “free subdiagram,” generating a vector field planner that solves the combined sensory coverage and collision avoidance problem via continuous evaluation of an associated constrained optimization problem. We propose practical extensions (a heuristic congestion manager that speeds convergence and a lift of the point particle controller to the more practical differential drive kinematics) that ...
Exact Robot Navigation Using Power Diagrams, Omur Arslan, Daniel E. Koditschek
Exact Robot Navigation Using Power Diagrams, Omur Arslan, Daniel E. Koditschek
Departmental Papers (ESE)
We reconsider the problem of reactive navigation in sphere worlds, i.e., the construction of a vector field over a compact, convex Euclidean subset punctured by Euclidean disks, whose flow brings a Euclidean disk robot from all but a zero measure set of initial conditions to a designated point destination, with the guarantee of no collisions along the way. We use power diagrams, generalized Voronoi diagrams with additive weights, to identify the robot’s collision free convex neighborhood, and to generate the value of our proposed candidate solution vector field at any free configuration via evaluation of an associated convex ...
Heuristic And Exact Algorithms For The TwoMachine Just In Time Job Shop Scheduling Problem, Mohammed Al Salem, Leonardo BedoyaValencia, Ghaith Rabadi
Heuristic And Exact Algorithms For The TwoMachine Just In Time Job Shop Scheduling Problem, Mohammed Al Salem, Leonardo BedoyaValencia, Ghaith Rabadi
Engineering Management & Systems Engineering Faculty Publications
The problem addressed in this paper is the twomachine job shop scheduling problem when the objective is to minimize the total earliness and tardiness from a common due date (CDD) for a set of jobs when their weights equal 1 (unweighted problem). This objective became very significant after the introduction of the Just in Time manufacturing approach. A procedure to determine whether the CDD is restricted or unrestricted is developed and a semirestricted CDD is defined. Algorithms are introduced to find the optimal solution when the CDD is unrestricted and semirestricted. When the CDD is restricted, which is a much ...
Spontaneous Synchrony On Graphs And The Emergence Of Order From Disorder, Dylan Linville, Daniel Trugillo Martins Fontes
Spontaneous Synchrony On Graphs And The Emergence Of Order From Disorder, Dylan Linville, Daniel Trugillo Martins Fontes
RoseHulman Undergraduate Research Publications
From pulsars to pedestrians and bacteria to brain cells, objects that exhibit cyclical behavior, called oscillators, are found in a variety of different settings. When oscillators adjust their behavior in response to nearby oscillators, they often achieve a state of synchrony, in which they all have the same phase and frequency. Here, we explore the Kuramoto model, a simple and general model which describes oscillators as dynamical systems on a graph and has been used to study synchronization in systems ranging from firefly swarms to the power grid. We discuss analytical and numerical methods used to investigate the governing system ...
VideoToVideo Pose And Expression Invariant Face Recognition Using Volumetric Directional Pattern, Vijayan K. Asari, Almabrok Essa
VideoToVideo Pose And Expression Invariant Face Recognition Using Volumetric Directional Pattern, Vijayan K. Asari, Almabrok Essa
Electrical and Computer Engineering Faculty Publications
Face recognition in video has attracted attention as a cryptic method of human identification in surveillance systems. In this paper, we propose an endtoend video face recognition system, addressing a difficult problem of identifying human faces in video due to the presence of large variations in facial pose and expression, and poor video resolution. The proposed descriptor, named Volumetric Directional Pattern (VDP), is an oriented and multiscale volumetric descriptor that is able to extract and fuse the information of multi frames, temporal (dynamic) information, and multiple poses and expressions of faces in input video to produce feature vectors, which are ...
Project Haiti 2012: Providing An Experiential Learning Experience Through The Design And Delivery Of A Water Purifier In Haiti, Yung Wong, Johnathon Camp, Shavin Pinto, Kyle Fennesy, Marc Compere, Yan Tang
Project Haiti 2012: Providing An Experiential Learning Experience Through The Design And Delivery Of A Water Purifier In Haiti, Yung Wong, Johnathon Camp, Shavin Pinto, Kyle Fennesy, Marc Compere, Yan Tang
Publications
In this paper, we share our experiences and lessons learned from Project Haiti 2012, a project to design and install a water purification system serving 20,000 people per day in the largest tent city in Haiti. Project Haiti 2012 was the third and largest system we have built for Haitians and represents a huge success for all participants and stakeholders. This paper discusses the unique experiential learning opportunity involved in the design and delivery of the water purifier in a foreign developing country. Multiple positive educational, social, and economic outcomes were achieved including students applying knowledge gained from coursework ...
A Nash Approach To Planning Merchant Transmission For Renewable Resource Integration, Qun Zhou, Leigh Tesfatsion, ChenChing Liu, Ron F. Chu, Wei Sun
A Nash Approach To Planning Merchant Transmission For Renewable Resource Integration, Qun Zhou, Leigh Tesfatsion, ChenChing Liu, Ron F. Chu, Wei Sun
Economics Publications
Major transmission projects are needed to integrate and to deliver renewable energy (RE) resources. Cost recovery is a serious impediment to transmission investment. A negotiation methodology is developed in this study to guide transmission investment for RE integration. Built on Nash bargaining theory, the methodology models a negotiation between an RE generation company and a transmission company for the cost sharing and recovery of a new transmission line permitting delivery of RE to the grid. Findings from a sixbus test case demonstrate the Pareto efficiency of the approach as well as its fairness, in that it is consistent with one ...
Game Theoretic Analysis Of A Strategic Model Of Competitive Contagion And Product Adoption In Social Networks, Arastoo Fazeli, Ali Jadbabaie
Game Theoretic Analysis Of A Strategic Model Of Competitive Contagion And Product Adoption In Social Networks, Arastoo Fazeli, Ali Jadbabaie
Departmental Papers (ESE)
In this paper we propose and study a strategic model of marketing and product adoption in social networks. Two firms compete for the spread of their products in a social network. Considering their fixed budgets, they initially determine the payoff of their products and the number of their initial seeds in a network. Afterwards, neighboring agents play a local coordination game over a fixed network which determines the dynamics of the spreading. Assuming myopic best response dynamics, agents choose a product based on the payoff received by actions of their neighbors. This local update dynamics results in a gametheoretic diffusion ...
Duopoly Pricing Game In Networks With Local Coordination Effects, Arastoo Fazeli, Ali Jadbabaie
Duopoly Pricing Game In Networks With Local Coordination Effects, Arastoo Fazeli, Ali Jadbabaie
Departmental Papers (ESE)
In this paper, we study a duopoly pricing problem in which two firms compete for selling two products in a network. Our proposed model consists of two stages. In the first stage, firms set the price they charge agents for their product and the quality of the product they offer. For agents, the quality of the product can be interpreted as the payoff of a local coordination game played among them in the network. In the second stage, agents in the network decide what fraction of these two products to purchase. We first characterize the Nash equilibrium of the game ...
Targeted Marketing And Seeding Products With Positive Externality, Arastoo Fazeli, Ali Jadbabaie
Targeted Marketing And Seeding Products With Positive Externality, Arastoo Fazeli, Ali Jadbabaie
Departmental Papers (ESE)
We study a strategic model of marketing in social networks in which two firms compete for the spread of their products. Firms initially determine the production cost of their product, which results in the payoff of the product for consumers, and the number and the location of the consumers in a network who receive the product as a free offer. Consumers play a local coordination game over a fixed network which determines the dynamics of the spreading of products. Assuming myopic best response dynamics, consumers choose a product based on the payoff received by actions of their neighbors. This local ...
Consensus Over Martingale Graph Processes, Arastoo Fazeli, Ali Jadbabaie
Consensus Over Martingale Graph Processes, Arastoo Fazeli, Ali Jadbabaie
Departmental Papers (ESE)
In this paper, we consider a consensus seeking process based on repeated averaging in a randomly changing network. The underlying graph of such a network at each time is generated by a martingale random process. We prove that consensus is reached almost surely if and only if the expected graph of the network contains a directed spanning tree. We then provide an example of a consensus seeking process based on local averaging of opinions in a dynamic model of social network formation which is a martingale. At each time step, individual agents randomly choose some other agents to interact with ...
MultiAgent Flocking With Random Communication Radius, Samuel Martin, Arastoo Fazeli, Ali Jadbabaie, Antoine Girard
MultiAgent Flocking With Random Communication Radius, Samuel Martin, Arastoo Fazeli, Ali Jadbabaie, Antoine Girard
Departmental Papers (ESE)
In this paper, we consider a multiagent system consisting of mobile agents with secondorder dynamics. The communication network is determined by a metric rule based on a random interaction range. The goal of this paper is to determine a bound on the probability that the agents asymptotically agree on a common velocity (i.e. a flocking behavior is achieved). This bound should depend on practical conditions (on the initial positions and velocities of agents) only. For this purpose, we exhibit an i.i.d. process bounding the original system’s dynamics. We build upon previous work on multiagent systems with ...
Estimation Of Performance Indices For The Planning Of Sustainable Transportation Systems, Pankaj Maheshwari, Alexander Paz, Pushkin Kachroo
Estimation Of Performance Indices For The Planning Of Sustainable Transportation Systems, Pankaj Maheshwari, Alexander Paz, Pushkin Kachroo
Graduate Publications & Presentations
What is sustainable transportation system?
Fulfill the needs of current generations without compromising the ability of future generations
Utilize resources without compromising their health and productivity Leads to development that improves quality of life
Assimilate economic, ecological, social, and biophysical components of resource ecosystems
Minimize the use of renewable and nonrenewable resources, provide affordability and equity between generations
A Review Of Some Subtleties Of Practical Relevance, Keqin Gu
A Review Of Some Subtleties Of Practical Relevance, Keqin Gu
SIUE Faculty Research, Scholarship, and Creative Activity
This paper reviews some subtleties in timedelay systems of neutral type that are believed to be of particular relevance in practice. Both traditional formulation and the coupled differentialdifference equation formulation are used. The discontinuity of the spectrum as a function of delays is discussed. Conditions to guarantee stability under small parameter variations are given. A number of subjects that have been discussed in the literature, often using different methods, are reviewed to illustrate some fundamental concepts. These include systems with small delays, the sensitivity of Smith predictor to small delay mismatch, and the discrete implementation of distributeddelay feedback control. The ...
High Tech High Touch: Lessons Learned From Project Haiti 2011, Yan Tang, Marc Compere, Yung Lun Wong, Jared Anthony Coleman, Matthew Charles Selkirk
High Tech High Touch: Lessons Learned From Project Haiti 2011, Yan Tang, Marc Compere, Yung Lun Wong, Jared Anthony Coleman, Matthew Charles Selkirk
Publications
In this paper, we will share our experiences and lessons learned from a design project for providing clean water to a Haitian orphanage (Project Haiti 2011). Supported by funds from a renewable energy company and the university president’s office, five engineering students and two faculty members from EmbryRiddle Aeronautical University successfully designed and installed a solar powered water purification system for an orphanage located in Chambellan, Haiti. This paper discusses the unique educational experiences gained from unusual design constraints, such as ambiguity of existing facilities due to limited communication, logistics of international construction at a remote village location, and ...
MultiDisciplinary HandsOn Desktop Learning Modules And Modern Pedagogies, Bernard J. Van Wie, David B. Thiessen, Marc Compere, Ximena Toro, Jennifer C. Adam, Et Al.
MultiDisciplinary HandsOn Desktop Learning Modules And Modern Pedagogies, Bernard J. Van Wie, David B. Thiessen, Marc Compere, Ximena Toro, Jennifer C. Adam, Et Al.
Publications
Our team’s research focuses on fundamental problems in undergraduate education in terms of how to expand use of well researched, yet still “new”, teaching pedagogies of ‘sensing’ or ‘handson’, ‘active’ and ‘problembased learning’ within engineering courses. It is now widely accepted that traditional lectures ARE NOT best for students – yet that is what the community almost universally does.
To address this issue we are developing new Desktop Learning Modules (DLMs) that contain miniaturized processes with a uniquely expandable electronic system to contend with known sensor systems/removable cartridges, as well as, unknown expansions to the project. We have shown ...
On Consensus In A Correlated Model Of Network Formation Based On A Polya Urn Process, Arastoo Fazeli, Ali Jadbabaie
On Consensus In A Correlated Model Of Network Formation Based On A Polya Urn Process, Arastoo Fazeli, Ali Jadbabaie
Departmental Papers (ESE)
In this paper, we consider a consensus seeking process based on local averaging of opinions in a dynamic model of social network formation. At each time step, individual agents randomly choose another agent to interact with. The interaction is onesided and results in the agent averaging her opinion with that of her randomly chosen neighbor. Once an agent chooses a neighbor, the probabilities of interactions are updated in such a way that prior interactions are reinforced and future interactions become more likely, resulting in a random consensus process in which networks are highly correlated with each other. Using results of ...
TwoSettlement Electric Power Markets With DynamicPrice Customers, Huan Zhao, Auswin George Thomas, Pedram Jahangiri, Chengrui Cai, Leigh Tesfatsion, Dionysios C. Aliprantis
TwoSettlement Electric Power Markets With DynamicPrice Customers, Huan Zhao, Auswin George Thomas, Pedram Jahangiri, Chengrui Cai, Leigh Tesfatsion, Dionysios C. Aliprantis
Economics Presentations, Posters and Proceedings
This study will report both analytical and computational testbed findings regarding the effects of retail dynamicprice contracting on power system operations. The key issue under study is the extent to which the introduction of dynamic price contracts for retail consumers affects the efficiency of both retail and wholesale power market operations through changes in price volatility and load profiles at wholesale, and through reallocations of risk between loadserving entities and retail consumers.
A Dynamic System Model Of BiogeographyBased Optimization, Daniel J. Simon
A Dynamic System Model Of BiogeographyBased Optimization, Daniel J. Simon
Electrical Engineering & Computer Science Faculty Publications
We derive a dynamic system model for biogeographybased optimization (BBO) that is asymptotically exact as the population size approaches infinity. The states of the dynamic system are equal to the proportion of each individual in the population; therefore, the dimension of the dynamic system is equal to the search space cardinality of the optimization problem. The dynamic system model allows us to derive the proportion of each individual in the population for a given optimization problem using theory rather than simulation. The results of the dynamic system model are more precise than simulation, especially for individuals that are very unlikely ...
AgentBased Modeling And Institutional Design, Leigh Tesfatsion
AgentBased Modeling And Institutional Design, Leigh Tesfatsion
Economics Publications
The recent economic crisis has led to calls for a comprehensive restructuring of energy, financial, health care, and educational systems. Critics worry that the restructuring of these complex institutional arrangements could produce adverse unintended consequences. Given these concerns, pretesting of proposed changes is eminently desirable but also exceedingly difficult. This essay focuses on the potential use of agentbased modeling for studying proposed changes in institutional arrangements in advance of actual implementation. Ongoing agentbased research on the restructuring of electric power markets is used for concrete illustration.
The Generation Of Domestic Electricity Load Profiles Through Markov Chain Modelling, Aidan Duffy, Fintan Mcloughlin, Michael Conlon
The Generation Of Domestic Electricity Load Profiles Through Markov Chain Modelling, Aidan Duffy, Fintan Mcloughlin, Michael Conlon
Conference Papers
Microgeneration technologies such as photovoltaics and microwind power are becoming increasing popular among homeowners, mainly a result of policy support mechanisms helping to improve cost competiveness as compared to traditional fossil fuel generation. National government strategies to reduce electricity demand generated from fossil fuels and to meet European Union 20/20 targets is driving this change. However, the real performance of these technologies in a domestic setting is not often known as high time resolution models for domestic electricity load profiles are not readily available. As a result, projections in terms of reducing electricity demand and financial paybacks for these ...