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Operations Research, Systems Engineering and Industrial Engineering Commons™
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- My PHD. Dissertation (2006) (14)
- Renewable Energy Source (7)
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- Hybrid systems (3)
- Model checking (3)
- Optimal reachability (3)
- Partitioning algorithms (3)
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- Stochastic gradient algorithms (3)
- Timed automata (3)
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- Fuzzy logic. (1)
- Wind turbine. (1)
- Agent-based (1)
- Batch/Fed-batch Processes (1)
- Biomechanics (1)
- Brachiation (1)
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- CPG (1)
- Clock driven system (1)
- Cognitively detailed agent based models (1)
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Articles 1 - 30 of 53
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Learning Streams: A Case Study In Curriculum Integration, Mani Mina, Arun K. Somani, Akhilesh Tyagi, Diane T. Rover, Matthew Feldmann, Mack C. Shelley
Learning Streams: A Case Study In Curriculum Integration, Mani Mina, Arun K. Somani, Akhilesh Tyagi, Diane T. Rover, Matthew Feldmann, Mack C. Shelley
Diane Rover
During 2004-2005, the Departments of Electrical and Computer Engineering and Mechanical Engineering at Iowa State University in collaboration with educational colleagues in the Research Institute for Studies in Education piloted a new curricula model to improve student learning through vertical integration of educational activities using new program structures. We offered an experimental course sequence during Fall 2004 and Spring 2005, defined as a “learning stream.” A learning stream is a basic element of a novel program structure designed specifically to vertically integrate subject matter across courses. A learning stream merges and re-organizes material to more effectively present and reinforce key …
Work In Progress - Preparation Creating Effective Faculty Of Engineering: A Technological Literacy Approach, Mani Mina, Diane T. Rover, Mack C. Shelley
Work In Progress - Preparation Creating Effective Faculty Of Engineering: A Technological Literacy Approach, Mani Mina, Diane T. Rover, Mack C. Shelley
Diane Rover
This paper reviews the framework and provides new result for the implementation of a new program designed to develop more effective future faculty in engineering. The core of the proposed program will be based on our efforts regarding the recently developed Minor in Engineering Studies (MES). This program will team up effective engineering faculty to train, mentor, and evaluate a select group of graduate students to teach classes in our MES program. The goal is to help the engineering graduate students (the graduate educators) become better communicator and better educators by training non-engineering students in technological literacy classes. This practice …
The Subject Librarian Newsletter, Engineering And Computer Science, Fall 2017, Buenaventura "Ven" Basco
The Subject Librarian Newsletter, Engineering And Computer Science, Fall 2017, Buenaventura "Ven" Basco
Buenaventura "Ven" Basco
No abstract provided.
Capturing Cognitive Fingerprints From Keystroke Dynamics, J. Morris Chang, Chi-Chen Fang, Kuan-Hsing Ho, Norene Kelly, Pei-Yuan Wu, Yixiao Ding, Chris Chu, Stephen B. Gilbert, Amed E. Kamal, Sun-Yuan Kung
Capturing Cognitive Fingerprints From Keystroke Dynamics, J. Morris Chang, Chi-Chen Fang, Kuan-Hsing Ho, Norene Kelly, Pei-Yuan Wu, Yixiao Ding, Chris Chu, Stephen B. Gilbert, Amed E. Kamal, Sun-Yuan Kung
Morris Chang
Conventional authentication systems identify a user only at the entry point. Keystroke dynamics can continuously authenticate users by their typing rhythms without extra devices. This article presents a new feature called cognitive typing rhythm (CTR) to continuously verify the identities of computer users. Two machine techniques, SVM and KRR, have been developed for the system. The best results from experiments conducted with 1,977 users show a false-rejection rate of 0.7 percent and a false-acceptance rate of 5.5 percent. CTR therefore constitutes a cognitive fingerprint for continuous. Its effectiveness has been verified through a large-scale dataset. This article is part of …
A Multiperiod Generalized Network Flow Model Of The U.S. Integrated Energy System: Part I—Model Description, Ana Quelhas, Esteban Gil, James D. Mccalley, Sarah M. Ryan
A Multiperiod Generalized Network Flow Model Of The U.S. Integrated Energy System: Part I—Model Description, Ana Quelhas, Esteban Gil, James D. Mccalley, Sarah M. Ryan
James McCalley
This paper is the first of a two-part paper presenting a multiperiod generalized network flow model of the integrated energy system in the United States. Part I describes the modeling approach used to evaluate the economic efficiencies of the system-wide energy flows, from the coal and natural gas suppliers to the electric load centers. Under the proposed problem formulation, fuel supply and electricity demand nodes are connected via a transportation network, and the model is solved for the most efficient allocation of quantities and corresponding prices. The methodology includes physical, economic, and environmental aspects that characterize the different networks. Part …
Systems Social Seience: A Design Inquiry Approach For Stabilization And Reconstruction Of Social Systems, Barry G. Silverman
Systems Social Seience: A Design Inquiry Approach For Stabilization And Reconstruction Of Social Systems, Barry G. Silverman
Barry G Silverman
This paper explores novel approaches under the design inquiry paradigm that promise to help organizations better understand and solve socio-technical dilemmas. Design inquiry is contrasted with scientific inquiry (Section 1). Section 2 presents a meso-scale model of models methodology for design inquiry that synthesizes systems science, agent modeling and simulation, knowledge management architectures, and domain theories and knowledge. The goal is to focus computational science on exploring underlying mechanisms (white box modeling) and to support reflective theorizing and discourse to explain social dilemmas and potential resolutions. Section 3 then describes an evolving agent modeling and simulation testbed while Section 4 …
Rich Socio-Cognitive Agents For Immersive Training Environments: Case Of Nonkin Village, Barry G. Silverman, David Pietrocola, Ben Nye, Nathan Weyer, Oleg Osin, Dan Johnson, Ransom Weaver
Rich Socio-Cognitive Agents For Immersive Training Environments: Case Of Nonkin Village, Barry G. Silverman, David Pietrocola, Ben Nye, Nathan Weyer, Oleg Osin, Dan Johnson, Ransom Weaver
Barry G Silverman
Demand is on the rise for scientifically based human-behavior models that can be quickly customized and inserted into immersive training environments to recreate a given society or culture. At the same time, there are no readily available science model-driven environments for this purpose (see survey in Sect. 2). In researching how to overcome this obstacle, we have created rich (complex) socio-cognitive agents that include a large number of social science models (cognitive, sociologic, economic, political, etc) needed to enhance the realism of immersive, artificial agent societies. We describe current efforts to apply model-driven development concepts and how to permit other …
Holistically Evaluating Agent Based Social System Models, Gnana K. Bharathy, Barry G. Silverman
Holistically Evaluating Agent Based Social System Models, Gnana K. Bharathy, Barry G. Silverman
Barry G Silverman
The philosophical perspectives on model evaluation can be broadly classified into reductionist/logical positivist and relativist/holistic. In this paper, we outline some of our past efforts in, and challenges faced during, evaluating models of social systems with cognitively detailed agents. Owing to richness in the model, we argue that the holistic approach and consequent continuous improvement are essential to evaluating complex social system models such as these. A social system built primarily of cognitively detailed agents can provide multiple levels of correspondence, both at observable and abstract aggregated levels. Such a system can also pose several challenges, including large feature spaces, …
A Systems Approach To Healthcare: Agent-Based Modeling, Community Mental Health, And Population Well-Being, Barry G. Silverman, Nancy Hanrahan, Gnana K. Bharathy, Kim Gordon, Dan Johnson
A Systems Approach To Healthcare: Agent-Based Modeling, Community Mental Health, And Population Well-Being, Barry G. Silverman, Nancy Hanrahan, Gnana K. Bharathy, Kim Gordon, Dan Johnson
Barry G Silverman
Purpose Explore whether agent-based modeling and simulation can help healthcare administrators discover interventions that increase population wellness and quality of care while, simultaneously, decreasing costs. Since important dynamics often lie in the social determinants outside the health facilities that provide services, this study thus models the problem at three levels (individuals, organizations, and society). Methods The study explores the utility of translating an existing (prize winning) software for modeling complex societal systems and agent's daily life activities (like a Sim City style of software), into a desired decision support system. A case study tests if the 3 levels of system …
Social Learning And Adoption Of New Behavior In A Virtual Agent Society, Benjamin D. Nye, Barry G. Silverman
Social Learning And Adoption Of New Behavior In A Virtual Agent Society, Benjamin D. Nye, Barry G. Silverman
Barry G Silverman
Social learning and adoption of new behavior govern the rise of a variety of behaviors: from actions as mundane as dance steps to those as dangerous as new ways to make IED detonators. However, agents in immersive virtual environments lack the ability to realistically simulate the spread of new behavior. To address this gap, a cognitive model was designed that represents the well-known socio-cognitive factors of attention, social influence, and motivation that influence learning and the adoption of a new behavior. To explore the effectiveness of this model, simulations modeled the spread of two competing memes in Hamariyah, an archetypal …
Social Learning And Adoption Of New Behavior In A Virtual Agent Society, Benjamin D. Nye, Barry G. Silverman
Social Learning And Adoption Of New Behavior In A Virtual Agent Society, Benjamin D. Nye, Barry G. Silverman
Barry G Silverman
Social learning and adoption of new behavior govern the rise of a variety of behaviors: from actions as mundane as dance steps to those as dangerous as new ways to make IED detonators. However, agents in immersive virtual environments lack the ability to realistically simulate the spread of new behavior. To address this gap, a cognitive model was designed that represents the well-known socio-cognitive factors of attention, social influence, and motivation that influence learning and the adoption of a new behavior. To explore the effectiveness of this model, simulations modeled the spread of two competing memes in Hamariyah, an archetypal …
Desert Rhex Technical Report: Jornada And White Sands Trip, Sonia Roberts, Jeff Duperret, Aaron M. Johnson, Scott Van Pelt, Ted Zobeck, Nick Lancaster, Daniel E. Koditschek
Desert Rhex Technical Report: Jornada And White Sands Trip, Sonia Roberts, Jeff Duperret, Aaron M. Johnson, Scott Van Pelt, Ted Zobeck, Nick Lancaster, Daniel E. Koditschek
Sonia F. Roberts
Researchers in a variety of fields, including aeolian science, biology, and environmental science, have already made use of stationary and mobile remote sensing equipment to increase their variety of data collection opportunities. However, due to mobility challenges, remote sensing opportunities relevant to desert environments and in particular dune fields have been limited to stationary equipment. We describe here an investigative trip to two well-studied experimental deserts in New Mexico with D-RHex, a mobile remote sensing platform oriented towards desert research. D-RHex is the latest iteration of the RHex family of robots, which are six-legged, biologically inspired, small (10kg) platforms with …
Optimal Design Of A Pv/Fuel Cell Hybrid Power System For The City Of Brest In France, Dr. Adel A. Elbaset
Optimal Design Of A Pv/Fuel Cell Hybrid Power System For The City Of Brest In France, Dr. Adel A. Elbaset
Dr. Adel A. Elbaset
This paper deals with the optimal design of a stand-alone hybrid photovoltaic and fuel cell power system without battery storage to supply the electric load demand of the city of Brest, Western Brittany in France. The proposed optimal design study is focused on economical performance and is mainly based on the loss of the power supply probability concept. The hybrid power system optimal design is based a simulation model developed using HOMER. In this context, a practical load demand profile of Brest city is used with real weather data.
Ict For Poverty Alleviation In Pacific Island Nations: Study Of Icts4d In Fiji, Deogratias Harorimana, Opeti Rokotuinivono, Emali Sewale, Fane Salaiwai, Marica Naulu, Evangelin Roy
Ict For Poverty Alleviation In Pacific Island Nations: Study Of Icts4d In Fiji, Deogratias Harorimana, Opeti Rokotuinivono, Emali Sewale, Fane Salaiwai, Marica Naulu, Evangelin Roy
Dr Deogratias Harorimana
ICT for Poverty Alleviation in Pacific Island Nations: Study of ICTs4D in Fiji There has been a vague and little knowledge on the role or potential of Information and Communications Technologies (ICTs) in relation to addressing poverty in Fiji. This may be probably due to the newness of the technology in the South Pacific Region as a whole but also probably due to the fact that only 9.7% of the current Fiji 931,000 populations are internet users (ITC Figures 2011). This paper reports on finding how ICTs is contributing towards poverty alleviation in Fiji. On the basis of reviewed best …
Mle+: A Tool For Integrated Design And Deployment Of Energy Efficient Building Controls, Willy Bernal, Madhur Behl, Truong Nghiem, Rahul Mangharam
Mle+: A Tool For Integrated Design And Deployment Of Energy Efficient Building Controls, Willy Bernal, Madhur Behl, Truong Nghiem, Rahul Mangharam
Madhur Behl
We present MLE+, a tool for energy-efficient building automation design, co-simulation and analysis. The tool leverages the high-fidelity building simulation capabilities of EnergyPlus and the scientific computation and design capabilities of Matlab for controller design. MLE+ facilitates integrated building simulation and controller formulation with integrated support for system identification, control design, optimization, simulation analysis and communication between software applications and building equipment. It provides streamlined workflows, a graphical front-end, and debugging support to help control engineers eliminate design and programming errors and take informed decisions early in the design stage, leading to fewer iterations in the building automation development cycle. …
Comparative Experiments With A New Adaptive Controller For Robot Arms, Louis L. Whitcomb, Daniel E. Koditschek, Alfred A. Rizzi
Comparative Experiments With A New Adaptive Controller For Robot Arms, Louis L. Whitcomb, Daniel E. Koditschek, Alfred A. Rizzi
Daniel E Koditschek
This paper presents a new model-based adaptive controller and proof of its global asymptotic stability with respect to the standard rigid-body model of robot-arm dynamics. Experimental data from a study of one new and several established globally asymptotically stable adaptive controllers on two very different robot arms 1) demonstrate the superior tracking performance afforded by the model-based algorithms over conventional PD control, 2) demonstrate and compare the superior performance of adaptive model-based algorithms over their nonadaptive counterparts, 3) reconcile several previous contrasting empirical studies, and 4) examine contexts that compromise their advantage.
X-Rhex: A Highly Mobile Hexapedal Robot For Sensorimotor Tasks, Kevin C. Galloway, Galen Clark Haynes, B. Deniz Ilhan, Aaron M. Johnson, Ryan Knopf, Goran A. Lynch, Benjamin N. Plotnick, Mackenzie White, Daniel E. Koditschek
X-Rhex: A Highly Mobile Hexapedal Robot For Sensorimotor Tasks, Kevin C. Galloway, Galen Clark Haynes, B. Deniz Ilhan, Aaron M. Johnson, Ryan Knopf, Goran A. Lynch, Benjamin N. Plotnick, Mackenzie White, Daniel E. Koditschek
Daniel E Koditschek
We report on the design and development of X-RHex, a hexapedal robot with a single actuator per leg, intended for real-world mobile applications. X-RHex is an updated version of the RHex platform, designed to offer substantial improvements in power, run-time, payload size, durability, and terrain negotiation, with a smaller physical volume and a comparable footprint and weight. Furthermore, X-RHex is designed to be easier to build and maintain by using a variety of commercial off-the-shelf (COTS) components for a majority of its internals. This document describes the X-RHex architecture and design, with a particular focus on the new ability of …
A Framework For The Coordination Of Legged Robot Gaits, Joel D. Weingarten, Richard E. Groff, Daniel E. Koditschek
A Framework For The Coordination Of Legged Robot Gaits, Joel D. Weingarten, Richard E. Groff, Daniel E. Koditschek
Daniel E Koditschek
This paper introduces a framework for representing, generating, and then tuning gaits of legged robots. We introduce a convenient parametrization of gait generators as dynamical systems possessing designer specified stable limit cycles over an appropriate torus. This parametrization affords a continuous selection of operation within a coordination design plane, inspired by biology, spanned by axes that determine the mix of "feedforward/feedback" and "centralized/decentralized" control. Tuning the gait generator parameters through repeated physical experiments with our robot hexapod, RHex, determines the appropriate operating point - the mix of feedback and degree of control decentralization - to achieve significantly increased performance relative …
Preliminary Analysis Of A Biologically Inspired 1-Dof "Clock" Stabilized Hopper, Haldun Komsuoglu, Daniel E. Koditschek
Preliminary Analysis Of A Biologically Inspired 1-Dof "Clock" Stabilized Hopper, Haldun Komsuoglu, Daniel E. Koditschek
Daniel E Koditschek
We investigate the stability of a one degree of freedom mechanical spring-mass system modulated by a feed-forward "clock" that stiffens and relaxes a Hooke's law potential force according to a periodic rhythm. At the present early stage of inquiry, we offer sufficient conditions for local asymptotic stability of an isolated periodic orbit when there is no feedback to the clock at all but some viscous friction in the mechanism. We conjecture that, absent feedback, a lossless mechanical system cannot exhibit an asymptotically stable limit cycle in response to such rhythmic excitation.
A Brachiating Robot Controller, Jun Nakanishi, Toshio Fukuda, Daniel E. Koditschek
A Brachiating Robot Controller, Jun Nakanishi, Toshio Fukuda, Daniel E. Koditschek
Daniel E Koditschek
We report on our empirical studies of a new controller for a two-link brachiating robot. Motivated by the pendulum-like motion of an ape's brachiation, we encode this task as the output of a "target dynamical system." Numerical simulations indicate that the resulting controller solves a number of brachiation problems that we term the "ladder," "swing-up," and "rope" problems. Preliminary analysis provides some explanation for this success. The proposed controller is implemented on a physical system in our laboratory. The robot achieves behaviors including "swing locomotion" and "swing up" and is capable of continuous locomotion over several rungs of a ladder. …
Adaptive Algorithms For Coverage Control And Space Partitioning In Mobile Robotic Networks, Jerome Le Ny, George J. Pappas
Adaptive Algorithms For Coverage Control And Space Partitioning In Mobile Robotic Networks, Jerome Le Ny, George J. Pappas
George J. Pappas
We consider deployment problems where a mobile robotic network must optimize its configuration in a distributed way in order to minimize a steady-state cost function that depends on the spatial distribution of certain probabilistic events of interest. Three classes of problems are discussed in detail: coverage control problems, spatial partitioning problems, and dynamic vehicle routing problems. Moreover, we assume that the event distribution is a priori unknown, and can only be progressively inferred from the observation of the location of the actual event occurrences. For each problem we present distributed stochastic gradient algorithms that optimize the performance objective. The stochastic …
Optimal Paths In Weighted Timed Automata, Rajeev Alur, Salvatore La Torre, George J. Pappas
Optimal Paths In Weighted Timed Automata, Rajeev Alur, Salvatore La Torre, George J. Pappas
George J. Pappas
We consider the optimal-reachability problem for a timed automaton with respect to a linear cost function which results in a weighted timed automaton. Our solution to this optimization problem consists of reducing it to computing (parametric) shortest paths in a finite weighted directed graph. We call this graph a parametric sub-region graph. It refines the region graph, a standard tool for the analysis of timed automata, by adding the information which is relevant to solving the optimal-reachability problem. We present an algorithm to solve the optimal-reachability problem for weighted timed automata that takes time exponential in O(n (|δ(A)|+|wmax|)), where n …
Adaptive Algorithms For Coverage Control And Space Partitioning In Mobile Robotic Networks, Jerome Le Ny, George J. Pappas
Adaptive Algorithms For Coverage Control And Space Partitioning In Mobile Robotic Networks, Jerome Le Ny, George J. Pappas
George J. Pappas
We consider deployment problems where a mobile robotic network must optimize its configuration in a distributed way in order to minimize a steady-state cost function that depends on the spatial distribution of certain probabilistic events of interest. Three classes of problems are discussed in detail: coverage control problems, spatial partitioning problems, and dynamic vehicle routing problems. Moreover, we assume that the event distribution is a priori unknown, and can only be progressively inferred from the observation of the location of the actual event occurrences. For each problem we present distributed stochastic gradient algorithms that optimize the performance objective. The stochastic …
Optimal Paths In Weighted Timed Automata, Rajeev Alur, Salvatore La Torre, George J. Pappas
Optimal Paths In Weighted Timed Automata, Rajeev Alur, Salvatore La Torre, George J. Pappas
George J. Pappas
We consider the optimal-reachability problem for a timed automaton with respect to a linear cost function which results in a weighted timed automaton. Our solution to this optimization problem consists of reducing it to computing (parametric) shortest paths in a finite weighted directed graph. We call this graph a parametric sub-region graph. It refines the region graph, a standard tool for the analysis of timed automata, by adding the information which is relevant to solving the optimal-reachability problem. We present an algorithm to solve the optimal-reachability problem for weighted timed automata that takes time exponential in O(n (|δ(A)|+|wmax|)), where n …
Adaptive Algorithms For Coverage Control And Space Partitioning In Mobile Robotic Networks, Jerome Le Ny, George J. Pappas
Adaptive Algorithms For Coverage Control And Space Partitioning In Mobile Robotic Networks, Jerome Le Ny, George J. Pappas
George J. Pappas
We consider deployment problems where a mobile robotic network must optimize its configuration in a distributed way in order to minimize a steady-state cost function that depends on the spatial distribution of certain probabilistic events of interest. Three classes of problems are discussed in detail: coverage control problems, spatial partitioning problems, and dynamic vehicle routing problems. Moreover, we assume that the event distribution is a priori unknown, and can only be progressively inferred from the observation of the location of the actual event occurrences. For each problem we present distributed stochastic gradient algorithms that optimize the performance objective. The stochastic …
Optimal Paths In Weighted Timed Automata, Rajeev Alur, Salvatore La Torre, George J. Pappas
Optimal Paths In Weighted Timed Automata, Rajeev Alur, Salvatore La Torre, George J. Pappas
George J. Pappas
We consider the optimal-reachability problem for a timed automaton with respect to a linear cost function which results in a weighted timed automaton. Our solution to this optimization problem consists of reducing it to computing (parametric) shortest paths in a finite weighted directed graph. We call this graph a parametric sub-region graph. It refines the region graph, a standard tool for the analysis of timed automata, by adding the information which is relevant to solving the optimal-reachability problem. We present an algorithm to solve the optimal-reachability problem for weighted timed automata that takes time exponential in O(n (|δ(A)|+|wmax|)), where n …
Issues In Human Capital Development : Lessons For Public Administration And Governance, Deogratias Harorimana Mr
Issues In Human Capital Development : Lessons For Public Administration And Governance, Deogratias Harorimana Mr
Dr Deogratias Harorimana
With few minerals or other natural resources, Rwanda believes that she can still achieve her ambitions by investing in human capital - her unique resource. If this ambition can be achieved, then is this the next role model for international development? We used a case study design and analysis methods to examine development models used elsewhere in recent decades, using both qualitative and quantitative data on Rwanda to establish the comparative advantages in relation to Singapore’s economic development model. The implications for international development are that (1) an effective human capital development strategy should be inclusive enough to respond to …
Design, Modeling And Control Strategy Of Pv/Fc Hybrid Power System, Dr. Adel A. Elbaset
Design, Modeling And Control Strategy Of Pv/Fc Hybrid Power System, Dr. Adel A. Elbaset
Dr. Adel A. Elbaset
This paper describes development of a general methodology of an autonomous PV/FC system composed of photovoltaic (PV), electrolyzer, hydrogen storage tank and fuel cell (FC). The aim of this paper is to determine optimum design, control strategy, economic and performance of a PV/FC hybrid power generation system without battery storage taking into account all losses in the system. The paper also presents a computer program based on Matlab software to determine optimum design, control strategy, economic and performance of an autonomous PV/FC hybrid power generation system. The computer program develops to size system components in order to match the load …
Simulation Studies On Ecs Application In A Clean Power Distribution System, Dr. Adel A. Elbaset
Simulation Studies On Ecs Application In A Clean Power Distribution System, Dr. Adel A. Elbaset
Dr. Adel A. Elbaset
Dealing with power distribution system became one of the most important arts in the field of power system, especially in the rapid increase of the distributed generation (DG) penetration to the distribution level which is a vital and important part of the entire power system. In this paper, a very special power distribution system with a unique deployment of distributed generation, such as, photovoltaic and wind generation has been studied. Energy storage system is utilized to play the main role to control the system’s power quality and the system frequency, as load following operation (LFO) and automatic generation control (AGC), …
A Neural Network Based Speed Control Of A Linear Induction Motor Drive, Adel A. Elbaset, Ahmed A. Hassan, Yehia S. Mohamed, T. Hiyama,, T. H. Mohamed
A Neural Network Based Speed Control Of A Linear Induction Motor Drive, Adel A. Elbaset, Ahmed A. Hassan, Yehia S. Mohamed, T. Hiyama,, T. H. Mohamed
Dr. Adel A. Elbaset
In this paper, a general regression neural network (GRNN) based controller is used to control the speed and thrust output of the linear induction motor drive. The field orientation principle is used to asymptotically decouple the motor speed from the secondary flux. The idea of model predictive control technique is used for the training of the proposed controller. The motivation for using this control strategy for training the GRNN based controller is to reduce the effect of the uncertainty due to motor parameters variation and load disturbance. This newly developed design strategy combines the advantage of the neural networks and …