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Electrical and Computer Engineering Faculty Research & Creative Works

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Full-Text Articles in Engineering

Optimal Control Of Unknown Affine Nonlinear Discrete-Time Systems Using Offline-Trained Neural Networks With Proof Of Convergence, Travis Dierks, Balaje T. Thumati, S. Jagannathan Jul 2009

Optimal Control Of Unknown Affine Nonlinear Discrete-Time Systems Using Offline-Trained Neural Networks With Proof Of Convergence, Travis Dierks, Balaje T. Thumati, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

The optimal control of linear systems accompanied by quadratic cost functions can be achieved by solving the well-known Riccati equation. However, the optimal control of nonlinear discrete-time systems is a much more challenging task that often requires solving the nonlinear Hamilton-Jacobi-Bellman (HJB) equation. in the recent literature, discrete-time approximate dynamic programming (ADP) techniques have been widely used to determine the optimal or near optimal control policies for affine nonlinear discrete-time systems. However, an inherent assumption of ADP requires the value of the controlled system one step ahead and at least partial knowledge of the system dynamics to be known. in …

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Advances In Neural Networks Research: An Introduction, Robert Kozma, Steven Bressler, Leonid Perlovsky, Ganesh K. Venayagamoorthy Jul 2009

Advances In Neural Networks Research: An Introduction, Robert Kozma, Steven Bressler, Leonid Perlovsky, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

The present Special Issue "Advances in Neural Networks Research: IJCNN2009" provides a state-of-art overview of the field of neural networks. It includes 39 papers from selected areas of the 2009 International Joint Conference on Neural Networks (IJCNN2009). IJCNN2009 took place on June 14-19, 2009, in Atlanta, Georgia, USA, and it represents an exemplary collaboration between the International Neural Networks Society and the IEEE Computational Intelligence Society. Topics in this issue include neuroscience and cognitive science, computational intelligence and machine learning, hybrid techniques, nonlinear dynamics and chaos, various soft computing technologies, intelligent signal processing and pattern recognition, bioinformatics and biomedicine, and …

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Optimization Of Vehicle-To-Grid Scheduling In Constrained Parking Lots, Ahmed Yousuf Saber, Ganesh K. Venayagamoorthy Jul 2009

Optimization Of Vehicle-To-Grid Scheduling In Constrained Parking Lots, Ahmed Yousuf Saber, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

An automatic Vehicle-to-Grid (V2G) technology can contribute to the utility grid. V2G technology has drawn great interest in the recent years. Success of the sophisticated automatic V2G research depends on efficient scheduling of gridable vehicles in constrained parking lots. Parking lots have constraints of space and current limits for V2G. However, V2G can reduce dependencies on small expensive units in the existing power systems as energy storage that can decrease running costs. It can efficiently manage load fluctuation, peak load; however, it increases spinning reserves and reliability. As number of gridable vehicles in V2G is much higher than small units …

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Methodology For Thermal Modeling Of On-Chip Interconnects Based On Electromagnetic Simulation Tools, Lijun Jiang, H. Smith, A. Deutsch, K. Chandra, B. J. Rubin, J. Gill, S. K. Kolluri Jun 2009

Methodology For Thermal Modeling Of On-Chip Interconnects Based On Electromagnetic Simulation Tools, Lijun Jiang, H. Smith, A. Deutsch, K. Chandra, B. J. Rubin, J. Gill, S. K. Kolluri

Electrical and Computer Engineering Faculty Research & Creative Works

A method and apparatus for thermal modeling of on-chip interconnects using electromagnetic tools to determine a temperature profile across the interconnect structure and the temperature at each node of an equivalent thermal circuit derived from an electrical model.

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Double-Layer Integral Using Static Green’S Function And Rectangular Basis, Lijun Jiang, J. D. Morsey Jun 2009

Double-Layer Integral Using Static Green’S Function And Rectangular Basis, Lijun Jiang, J. D. Morsey

Electrical and Computer Engineering Faculty Research & Creative Works

The present invention a new closed-form double-layer integral for a rectangular basis. It is valid for both self-integrals and non-self-integrals. In general, the approach of the present invention contains only six (6) terms and is much simpler than indirect closed-form results, which has 24 terms.

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Effects Of Learning Rate On The Performance Of The Population Based Incremental Learning Algorithm, Ganesh K. Venayagamoorthy, K. A. Folly Jun 2009

Effects Of Learning Rate On The Performance Of The Population Based Incremental Learning Algorithm, Ganesh K. Venayagamoorthy, K. A. Folly

Electrical and Computer Engineering Faculty Research & Creative Works

The effect of learning rate (LR) on the performance of a newly introduced evolutionary algorithm called population-based incremental learning (PBIL) is investigated in this paper. PBIL is a technique that combines a simple genetic algorithm (GA) with competitive learning (CL). Although CL is often studied in the context of artificial neural networks (ANNs), it plays a vital role in PBIL in that the idea of creating a prototype vector in learning vector quantization (LVQ) is central to PBIL. In PBIL, the crossover operator of GAs is abstracted away and the role of population is redefined. PBIL maintains a real-valued probability …

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Time-Mode Circuits For Analog Computation, Vishnu Ravinuthula, Vaibhav Garg, John G. Harris, José A.B. Fortes Jun 2009

Time-Mode Circuits For Analog Computation, Vishnu Ravinuthula, Vaibhav Garg, John G. Harris, José A.B. Fortes

Electrical and Computer Engineering Faculty Research & Creative Works

We introduce time-mode circuits, a set of basic circuit building blocks for analog computation using a temporal step function representation for the inputs and outputs. These novel time-mode circuits are low power, provide good noise performance and offer improved dynamic range. The design, IC implementation and detailed theoretical signal-to-noise ratio (SNR) analysis of a prototype time-mode circuit-a weighted average computation circuit-are discussed. This new way of computation is studied with respect to existing conventional voltage-mode and current-mode circuits. Two possible applications of these time mode circuits are presented: an edge detection circuit for 16 pixels and a 3-tap FIR filter …

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Transmit Precoding For Mimo Systems With Partial Csi And Discrete-Constellation Inputs, Chengshan Xiao, Y. Rosa Zheng Jun 2009

Transmit Precoding For Mimo Systems With Partial Csi And Discrete-Constellation Inputs, Chengshan Xiao, Y. Rosa Zheng

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we consider the transmit linear precoding problem for MIMO systems with discrete-constellation inputs. We assume that the receiver has perfect channel state information (CSI) and the transmitter only has partial CSI, namely, the channel covariance information. We first consider MIMO systems over frequency-flat fading channels. We design the optimal linear precoder based on direct maximization of mutual information over the MIMO channels with discrete-constellation inputs. It turns out that the optimal linear precoder is a non-diagonal non-unitary matrix. Then, we consider MIMO systems over frequency selective fading channels via extending our method to MIMO-OFDM systems. To keep …

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A Pso With Quantum Infusion Algorithm For Training Simultaneous Recurrent Neural Networks, Bipul Luitel, Ganesh K. Venayagamoorthy Jun 2009

A Pso With Quantum Infusion Algorithm For Training Simultaneous Recurrent Neural Networks, Bipul Luitel, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

Simultaneous recurrent neural network (SRN) is one of the most powerful neural network architectures well suited for estimation and control of complex time varying nonlinear dynamic systems. SRN training is a difficult problem especially if multiple inputs and multiple outputs (MIMO) are involved. Particle swarm optimization with quantum infusion (PSO-QI) is introduced in this paper for training such SRNs. In order to illustrate the capability of the PSO-QI training algorithm, a wide area monitor (WAM) for a power system is developed using a multiple inputs multiple outputs Elman SRN. The SRN estimates speed deviations of four generators in a multimachine …

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Learning Nonlinear Functions With Mlps And Srns, R. Cleaver, Ganesh K. Venayagamoorthy Jun 2009

Learning Nonlinear Functions With Mlps And Srns, R. Cleaver, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, nonlinear functions generated by randomly initialized multilayer perceptrons (MLPs) and simultaneous recurrent neural networks (SRNs) are learned by MLPs and SRNs. Training SRNs is a challenging task and a new learning algorithm - DEPSO is introduced. DEPSO is a standard particle swarm optimization (PSO) algorithm with the addition of a differential evolution step to aid in swarm convergence. The results from DEPSO are compared with the standard backpropagation (BP) and PSO algorithms. It is further verified that functions generated by SRNs are harder to learn than those generated by MLPs but DEPSO provides better learning capabilities for …

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Harmonic Identification Using An Echo State Network For Adaptive Control Of An Active Filter In An Electric Ship, Jing Dai, Ganesh K. Venayagamoorthy, Ronald G. Harley Jun 2009

Harmonic Identification Using An Echo State Network For Adaptive Control Of An Active Filter In An Electric Ship, Jing Dai, Ganesh K. Venayagamoorthy, Ronald G. Harley

Electrical and Computer Engineering Faculty Research & Creative Works

A shunt active filter is a power electronic device used in a power system to decrease ldquoharmonic current pollutionrdquo caused by nonlinear loads. The Echo State Network (ESN) has been widely used as an effective system identifier with much faster training speed than the other Recurrent Neural Networks (RNNs). However, only a few attempts have been made to use an ESN as a system controller. As the first attempt to use an ESN in indirect neurocontrol, this paper proposes an indirect adaptive neurocontrol scheme using two ESNs to control a shunt active filter in a multiple-reference frame. As the first …

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Comparison Of Feedforward And Feedback Neural Network Architectures For Short Term Wind Speed Prediction, Ganesh K. Venayagamoorthy, Richard L. Welch, Stephen M. Ruffing Jun 2009

Comparison Of Feedforward And Feedback Neural Network Architectures For Short Term Wind Speed Prediction, Ganesh K. Venayagamoorthy, Richard L. Welch, Stephen M. Ruffing

Electrical and Computer Engineering Faculty Research & Creative Works

This paper compares three types of neural networks trained using particle swarm optimization (PSO) for use in the short term prediction of wind speed. The three types of neural networks compared are the multi-layer perceptron (MLP) neural network, Elman recurrent neural network, and simultaneous recurrent neural network (SRN). Each network is trained and tested using meteorological data of one week measured at the National Renewable Energy Laboratory National Wind Technology Center near Boulder, CO. Results show that while the recurrent neural networks outperform the MLP in the best and average case with a lower overall mean squared error, the MLP …

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Fiber Inline Core-Cladding-Mode Mach-Zehnder Interferometer Fabricated By Two-Point Co2 Laser Irradiations, Tao Wei, Xinwei Lan, Hai Xiao May 2009

Fiber Inline Core-Cladding-Mode Mach-Zehnder Interferometer Fabricated By Two-Point Co2 Laser Irradiations, Tao Wei, Xinwei Lan, Hai Xiao

Electrical and Computer Engineering Faculty Research & Creative Works

We report a fiber inline Mach-Zehnder-type core-cladding-mode interferometer fabricated by two-point CO2 laser irradiations on a single-mode fiber. the laser irradiations caused efficient light coupling from the core mode to the lower order cladding modes and vice versa. High-quality interference spectra with a fringe visibility of about 20 dB were observed for four different interferometer lengths (5, 10, 20, and 40 mm). the temperature sensitivity of the device with a length of 5 mm was measured to be 0.0817 nm/°C. the sensitivity for refractive index measurement of the device was comparable with a long-period fiber grating of LP04 cladding mode. …

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Frequency-Domain Turbo Equalization For Mimo Underwater Acoustic Communications, Jian Zhang, Y. Rosa Zheng, Chengshan Xiao May 2009

Frequency-Domain Turbo Equalization For Mimo Underwater Acoustic Communications, Jian Zhang, Y. Rosa Zheng, Chengshan Xiao

Electrical and Computer Engineering Faculty Research & Creative Works

This paper investigates a low-complexity frequency-domain turbo equalization (FDTE) based on linear minimum mean square error (LMMSE) criterion for single-carrier (SC) multiple-input multiple-output (MIMO) underwater acoustic communications (UAC). The receiver incorporates both the equalizer and the decoder which exchange the extrinsic information on the coded bits for each other to implement the iterative detection. The channel impulse responses (CIRs) required in the equalization are estimated in the frequency domain (FD) by inserting the well-designed pilot blocks which are frequency-orthogonal Chu sequences. The proposed SC-MIMO-FDTE architecture is applied to the fixed-to-fixed underwater data gathered during SPACE08 ocean experiments in October 2008, …

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Multimodal Solution For A Waveguide Radiating Into Multilayered Structures -- Dielectric Properties And Thickness Evaluation, Mohammad Tayeb Ahmad Ghasr, Devin L. Simms, R. Zoughi May 2009

Multimodal Solution For A Waveguide Radiating Into Multilayered Structures -- Dielectric Properties And Thickness Evaluation, Mohammad Tayeb Ahmad Ghasr, Devin L. Simms, R. Zoughi

Electrical and Computer Engineering Faculty Research & Creative Works

Open-ended rectangular waveguides are widely used for microwave and millimeter-wave nondestructive testing (NDT) applications, such as detecting disbond and delamination in multilayered composite structures, thickness evaluation of dielectric sheets and coatings on metal substrates, etc. when inspecting a complex multilayered composite structure that is made of generally lossy dielectric layers with arbitrary thicknesses and backing, the dielectric properties of a particular layer may be of particular interest (e.g., radome inspection). The same is also true when one is interested in the thickness, or, more importantly, thickness variation, of a particular layer within such complex structures. An essential tool for closely …

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Novel Near-Field Millimeter-Wave Differential Probe Using A Loaded Modulated Aperture, Mohamed A. Abou-Khousa, Sergey Kharkovsky, R. Zoughi May 2009

Novel Near-Field Millimeter-Wave Differential Probe Using A Loaded Modulated Aperture, Mohamed A. Abou-Khousa, Sergey Kharkovsky, R. Zoughi

Electrical and Computer Engineering Faculty Research & Creative Works

Near-field millimeter-wave techniques have effectively been used for nondestructive testing (NDT) and imaging applications for over a decade. The interaction of the fields and a structure under test (SUT) in the near field of a probe is more complex than that of the far-field interaction. In the near field, the distance between the probe and the SUT, which is referred to as the standoff distance, is an important measurement parameter, and when optimally chosen, it can significantly improve detection sensitivity. However, undesired changes in this parameter can adversely influence the detection outcome to the extent that a target may be …

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2008 Ieee Swarm Intelligence Symposium (Sis 2008), Ganesh K. Venayagamoorthy May 2009

2008 Ieee Swarm Intelligence Symposium (Sis 2008), Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

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Extraction Of Via-Plate Capacitance Of An Eccentric Via By An Integral Approximation Method, Yaojiang Zhang, Renato Rimolo-Donadio, Jun Fan, Christian Schuster, Erping Li May 2009

Extraction Of Via-Plate Capacitance Of An Eccentric Via By An Integral Approximation Method, Yaojiang Zhang, Renato Rimolo-Donadio, Jun Fan, Christian Schuster, Erping Li

Electrical and Computer Engineering Faculty Research & Creative Works

An integral approximation method is proposed to extract the via-plate capacitance of an eccentric via in the via hole (anti-pad). an analytical formula is derived for the coaxial capacitance part, which is used as a benchmark to validate the integral approximation method. Furthermore, numerical simulations are also used to validate the method. It is shown that small eccentricity results in only a few percentages increase of the via-plate capacitance, which is helpful in specifying the manufacturing tolerance of via designs. © 2006 IEEE.

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Agent-Based Infrastructure For Data And Transaction Management In Mobile Heterogeneous Environment, Machigar Ongtang, Ali R. Hurson, Yu Jiao Apr 2009

Agent-Based Infrastructure For Data And Transaction Management In Mobile Heterogeneous Environment, Machigar Ongtang, Ali R. Hurson, Yu Jiao

Electrical and Computer Engineering Faculty Research & Creative Works

Mobile technology and advances in databases have allowed users to access and manipulate data across multiple heterogeneous and autonomous data sources via wireless connection, namely mobile multidata base system. Transaction management in this environment is nontrivial due to heterogeneity and autonomy of the participating data sources, frequent disconnections, and technological constraints of the access devices. Agent based Transaction Management scheme for Mobile Multidata base (AT3M) systems uses autonomous agents to enable a fully distributed transaction management, accommodates users' mobility, allows parallel execution of the global sub transactions, and responds to some of the limitations of the technology. the framework is …

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Neural Network Control Of Mobile Robot Formations Using Rise Feedback, Jagannathan Sarangapani, Travis Alan Dierks Apr 2009

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 …

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Dynamic Channel Allocation In Wireless Networks Using Adaptive Learning Automata, Behdis Eslamnour, Maciej Jan Zawodniok, Jagannathan Sarangapani Apr 2009

Dynamic Channel Allocation In Wireless Networks Using Adaptive Learning Automata, Behdis Eslamnour, Maciej Jan Zawodniok, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

The bandwidth utilization of a single channel-based wireless networks decreases due to congestion and interference from other sources and therefore transmission on multiple channels are needed. In this paper, we propose a distributed dynamic channel allocation scheme for wireless networks using adaptive learning automata whose nodes are equipped with single radio interfaces so that a more suitable channel can be selected. The proposed scheme, adaptive pursuit reward-inaction, runs periodically on the nodes, and adaptively finds the suitable channel allocation in order to attain a desired performance. A novel performance index, which takes into account the throughput and the energy consumption, …

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A Multi-Interface Multi-Channel Routing (Mmcr) Protocol For Wireless Ad Hoc Networks, Reghu Anguswamy, Maciej Jan Zawodniok, Jagannathan Sarangapani Apr 2009

A Multi-Interface Multi-Channel Routing (Mmcr) Protocol For Wireless Ad Hoc Networks, Reghu Anguswamy, Maciej Jan Zawodniok, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

Multiple non-interfering channels are available in 802.11 and 802.15.4 based wireless networks. Capacity of such channels can be combined to achieve a better performance thus providing a higher quality of service (QoS) than for a single channel network. However, existing routing protocols often are not suited to fully take advantage of these channels. The proposed multi-interface multi-channel routing (MMCR) protocol considers various QoS parameters such as throughput, end-to-end delay, and energy utilization as a single unified cost metric and identifies the route that optimizes the cost metric and balances the traffic among the channels on a per flow basis. Multipoint …

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Learning Functions Generated By Randomly Initialized Mlps And Srns, R. Cleaver, Ganesh K. Venayagamoorthy Apr 2009

Learning Functions Generated By Randomly Initialized Mlps And Srns, R. Cleaver, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, nonlinear functions generated by randomly initialized multilayer perceptrons (MLPs) and simultaneous recurrent neural networks (SRNs) and two benchmark functions are learned by MLPs and SRNs. Training SRNs is a challenging task and a new learning algorithm - PSO-QI is introduced. PSO-QI is a standard particle swarm optimization (PSO) algorithm with the addition of a quantum step utilizing the probability density property of a quantum particle. The results from PSO-QI are compared with the standard backpropagation (BP) and PSO algorithms. It is further verified that functions generated by SRNs are harder to learn than those generated by MLPs …

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Real-Time Implementation Of An Intelligent Algorithm For Electric Ship Power System Reconfiguration, Pinaki Mitra, Ganesh K. Venayagamoorthy Apr 2009

Real-Time Implementation Of An Intelligent Algorithm For Electric Ship Power System Reconfiguration, Pinaki Mitra, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

The naval electric ship is often subject to severe damages under battle conditions. The damages or faults might even affect the generators and as a result, critical loads might suffer from power deficiency which may lead to an eventual collapse of rest of the system. In order to serve the critical loads and maintain a proper power balance without excessive generation, the ship power system requires a fast reconfiguration of the remaining system under fault conditions. A fast intelligent algorithm using the Small Population based Particle Swarm Optimization (SPPSO) for dynamic reconfiguration of the available generators and loads when a …

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A System Design Approach For Unattended Solar Energy Harvesting Supply, Jonathan W. Kimball, Brian T. Kuhn, Robert S. Balog Apr 2009

A System Design Approach For Unattended Solar Energy Harvesting Supply, Jonathan W. Kimball, Brian T. Kuhn, Robert S. Balog

Electrical and Computer Engineering Faculty Research & Creative Works

Remote devices, such as sensors and communications devices, require continuously available power. In many applications, conventional approaches are too expensive, too large, or unreliable. For short-term needs, primary batteries may be used. However, they do not scale up well for long-term installations. Instead, energy harvesting methods must be used. Here, a system design approach is introduced that results in a highly reliable, highly available energy harvesting device for remote applications. First, a simulation method that uses climate data and target availability produces Pareto curves for energy storage and generation. This step determines the energy storage requirement in watt-hours and the …

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Missing-Sensor-Fault-Tolerantccontrol For Sssc Facts Device With Real-Time Implementation, Wei Qiao, Ganesh Kumar Venayagamoorthy, Ronald G. Harley Mar 2009

Missing-Sensor-Fault-Tolerantccontrol For Sssc Facts Device With Real-Time Implementation, Wei Qiao, Ganesh Kumar Venayagamoorthy, Ronald G. Harley

Electrical and Computer Engineering Faculty Research & Creative Works

Control of power systems relies on the availability and quality of sensor measurements. However, measurements are inevitably subjected to faults caused by sensor failure, broken or bad connections, bad communication, or malfunction of some hardware or software. These faults, in turn, may cause the failure of power system controllers and consequently, severe contingencies in the power system. to avoid such contingencies, this paper presents a sensor evaluation and (missing sensor) restoration scheme (SERS) by using auto-associative neural networks (auto encoders) and particle swarm optimization. based on the SERS, a missing-sensor-fault-tolerant control is developed for controlling a static synchronous series compensator …

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Generalized Neuron Based Secure Media Access Control Protocol For Wireless Sensor Networks, Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy, Abhishek V. Thakur, Sanjay Kumar Madria Mar 2009

Generalized Neuron Based Secure Media Access Control Protocol For Wireless Sensor Networks, Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy, Abhishek V. Thakur, Sanjay Kumar Madria

Electrical and Computer Engineering Faculty Research & Creative Works

Security plays a pivotal role in most applications of wireless sensor networks. It is common to find inadequately secure networks confined only to controlled environments. The issue of security in wireless sensor networks is a hot research topic for over a decade. This paper presents a compact generalized neuron (GN) based medium access protocol that renders a CSMA/CD network secure against denial-of-service attacks launched by adversaries. The GN enhances the security by constantly monitoring multiple parameters that reflect the possibility that an attack is launched by an adversary. Particle swarm optimization, a popular bio-inspired evolutionary-like optimization algorithm is used for …

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Online Synchronous Machine Parameter Extraction From Small-Signal Injection Techniques, Jing Huang, Keith Corzine, M. Belkhayat Mar 2009

Online Synchronous Machine Parameter Extraction From Small-Signal Injection Techniques, Jing Huang, Keith Corzine, M. Belkhayat

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes using a novel line-to-line voltage perturbation as a technique for online measurement of synchronous machine parameters. The perturbation is created by a chopper circuit connected between two phases of the machine. Using this method, it is possible to obtain the full set of four complex small-signal impedances of the synchronous machine d-q model over a wide frequency range. Typically, two chopper switching frequencies are needed to obtain one data point. However, it is shown herein that, due to the symmetry of the machine equations, only one chopper switching frequency is needed to obtain the information. A 3.7-kW …

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A Successful Interdisciplinary Course On Computational Intelligence, Ganesh K. Venayagamoorthy Feb 2009

A Successful Interdisciplinary Course On Computational Intelligence, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

This article presents experiences from the introduction of a new three hour interdisciplinary course on computational intelligence (CI) taught at the Missouri University of Science and Technology, USA at the undergraduate and graduate levels. This course is unique in the sense that it covers five main paradigms of CI and their integration to develop hybrid intelligent systems. The paradigms covered are artificial immune systems (AISs), evolutionary computing (EC), fuzzy systems (FSs), neural networks (NNs) and swarm intelligence (SI). While individual CI paradigms have been applied successfully to solve real-world problems, the current trend is to develop hybrids of these paradigms …

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Online Optimal Neuro-Fuzzy Flux Controller For Dtc Based Induction Motor Drives, N. Sadati, S. Kaboli, H. Adeli, E. Hajipour, Mehdi Ferdowsi Feb 2009

Online Optimal Neuro-Fuzzy Flux Controller For Dtc Based Induction Motor Drives, N. Sadati, S. Kaboli, H. Adeli, E. Hajipour, Mehdi Ferdowsi

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper a fast flux search controller based on the Neuro-fuzzy systems is proposed to achieve the best efficiency of a direct torque controlled induction motor at light load. In this method the reference flux value is determined through a minimization algorithm with stator current as objective function. This paper discusses and demonstrates the application of Neurofuzzy filtering to stator current estimation. Simulation and experimental results are presented to show the fast response of proposed controller.

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