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Congress on Evolutionary Computation

作者： Bipul Luitel Ganesh K. Venayagamoorthy Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO USA

In this paper, swarm and evolutionary algorithms have been applied for the design of digital filters. Particle swarm optimization (PSO) and differential evolution particle swarm optimization (DEPSO) have been used here for the design of linear phase finite impulse response (FIR) filters. Two different fitness functions have been studied and experimented, each having its own significance. The first study considers a fitness function based on the passband and stopband ripple, while the second study considers a fitness function based on the mean squared error between the actual and the ideal filter response. DEPSO seems to be promising tool for FIR filter design especially in a dynamic environment where filter coefficients have to be adapted and fast convergence is of importance.

关键词： Digital filters Finite impulse response filter IIR filters Filtering algorithms Passband Evolutionary computation Particle swarm optimization

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Localization-oriented coverage based on Bayesian estimation in camera sensor networks

Localization-oriented coverage based on Bayesian estimation ...

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9th IEEE International Symposium on Wireless, Mobile and Multimedia Networks, WoWMoM 2008

作者： Liu, Liang Zhang, Xi Huadong, Ma. Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX 77843 United States Beijing Key Lab. of Intelligent Telecomm Software and Multimedia Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9781424421008

Target tracking and localization are important applications in camera sensor networks. Although coverage is a very important research topic in wireless sensor networks, and the coverage problem for target detection has been intensively studied, few considers the coverage problem from the perspective of target localization. In this paper, we investigate the coverage problem from the perspective of target localization for camera sensor networks. We first propose a novel localization-oriented sensing model based on the perspective projection of camera. Then, we propose a new notion of Localization-oriented coverage (L-coverage for short). We assume that all camera sensors make the measurements independent of other in the field, and these camera sensors can cooperate to make an accurate estimation for the location of the target. In addition, the relationships among L-coverage, 2-coverage, and the density of camera sensors are also discussed in this paper. The obtained results show that our model can be effectively deployed in many practical scenarios. © 2008 IEEE.

关键词： Target tracking

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Implementation of a PSO based online design of an optimal excitation controller

Implementation of a PSO based online design of an optimal ex...

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IEEE Swarm Intelligence Symposium, SIS

作者： Chuan Yan Ganesh K. Venayagamoorthy Keith A. Corzine Real-time Power and Intelligent systems (RTPIS) laboratory in the Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO USA Real-timePower and Intelligent systems (RTPIS) laboratory in the Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO USA

The Navypsilas future electric ships will contain a number of pulsed power loads for high-energy applications such as radar, railguns, and advanced weapons. This pulse energy demand has to be provided by the ship energy sources, while not impacting the operation of the rest of the system. It is clear from studies carried out earlier that disturbances are created at the generator ac bus. This paper describes an online design and laboratory hardware implementation of an optimal excitation controller using particle swarm optimization (PSO) to minimize the effects of pulsed loads. The PSO algorithm has been implemented on a digital signal processor. laboratory results show that the PSO designed excitation controller provides an effective control of a generatorpsilas terminal voltage during pulsed loads, restoring and stabilizing it quickly.

关键词： Optimal control Marine vehicles Laboratories Voltage control Radar applications Railguns Weapons AC generators Hardware Particle swarm optimization

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IEEE Transactions on Haptics: Editorial

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IEEE Transactions on Haptics 2008年第1期1卷 2-8页

作者： Edward Colgate, J. Lederman, Susan Prattichizzo, Domenico Barbagli, Federico Basdogan, Cagatay Buss, Martin Ernst, Marc Frisoli, Antonio Gillespie, Brent Grant, Danny Harders, Matthias Hayward, Vincent Jones, Lynette Kajimoto, Hiroyuki Kappers, Astrid Kheddar, Abderrahmane Lin, Ming C. MacLean, Karon Miller, Brian Noma, Haruo Okamura, Allison M. O'Malley, Mareia Ryu, Jeha Tan, Hong Z. Yokokohji, Yasuyoshi Department of Psychology School of Computing Queen's University Canada IEEE Robotics and Automation Society Tübingen Germany Stanford University's Computer Science Department Tübingen Germany Institute of Automatic Control Engineering Technische Universität München Germany Independent Research Group Multisensory Perception and Action Max Planck Institute for Biological Cybernetics Tübingen Germany Department of Applied Mechanics SSSA Japan Research Division Virtual Reality and Telerobotic Systems PERCRO Laboratory Japan Department of Mechanical Engineering Japan Department of Robotics McGill University Canada Computer Vision Lab ETH Zurich Japan Virtual Reality in Medicine Group Japan IEEE CS/RAS Technical Committee on Haptics Japan Department of Electrical and Computer Engineering McGill University Canada Department of Mechanical Engineering MIT Japan University of Electro-Communications Japan Department of Physics and Astronomy Utrecht University Netherlands University of Evry France Chapel Hill United States Department of Computer Science University of British Columbia Canada ATR Knowledge Science Lab United Kingdom Department of Mechanical Engineering Denmark Johns Hopkins University United States Laboratory for Computational Sensing and Robotics United Kingdom Engineering Research Center for Computer-Integrated Surgical Systems and Technology United States Mechanical Engineering and Materials Science Department Rice University United States Korea Republic of Department of Electrical and Computer Engineering Mechanical Engineering and Psychological Sciences Purdue University United States Department of Mechanical Engineering and Science Graduate School of Engineering Kyoto University Japan

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Comparison of DE and PSO for generator maintenance scheduling

Comparison of DE and PSO for generator maintenance schedulin...

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IEEE Swarm Intelligence Symposium, SIS

作者： Y. Yare G. K. Venayagamoorthy Real-Time and Intelligent Systems Laboratory Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO USA

This paper presents a comparison of a differential evolution (DE) algorithm and a modified discrete particle swarm optimization (MDPSO) algorithm for generating optimal preventive maintenance schedules for economical and reliable operation of a power system, while satisfying system load demand and crew constraints. The DE, an evolutionary technique and an optimization algorithm utilizes the differential information to guide its further search, and can handle mixed integer discrete continuous optimization problems. Discrete particle swarm optimization (DPSO) is known to effectively solve large scale multi-objective optimization problems and has been widely applied in power systems. Both the DE and MDPSO are applied to solve a multi-objective generator maintenance scheduling (GMS) optimization problem. The two algorithms generate feasible and optimal solutions and overcome the limitations of the conventional methods including extensive computational effort, which increases exponentially as the size of the problem increases. The proposed methods are tested, validated and compared on the Nigerian power system.

关键词： Power system reliability Scheduling algorithm Particle swarm optimization Power systems Power generation Preventive maintenance Power system economics Power generation economics Large-scale systems Processor scheduling

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Receive soft antenna selection for spatial-multiplexing MIMO systems in interference-dominated channels

Receive soft antenna selection for spatial-multiplexing MIMO...

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Canadian Conference on electrical and computer engineering (CCECE)

作者： J. Ahmadi-Shokouh S. H. Jamali S. Safavi-Naeini Intelligent Multi-Antenna Radio Systems Laboratory Department of Electrical & Computer Engineering University of Waterloo of Canada Waterloo ONT Canada

In this paper, we find the optimum soft antenna selection (SAS) which maximizes the mutual information for the multiple-input multiple-output (MIMO) spatial multiplexing transmission in an interference channel. In this optimization problem, a 2-Dimensional (2D) directive interference model is used. We first find an optimal solution for SAS without applying any constraint on it and then propose a sub-optimal solution for the case when a phase-shift-only passive linear network (PLN) is used to implement the SAS method. Moreover, we compare the performance of the SAS method with a full-complexity MIMO system in the presence of above modeled interference through a simulation study.

关键词： Receiving antennas MIMO Synthetic aperture sonar Radio frequency Interference channels Transmitting antennas Directive antennas Mutual information Antenna arrays Array signal processing

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On the Optimal Receive Soft Antenna Selection for Reliable Communications in MIMO Interference Channels

On the Optimal Receive Soft Antenna Selection for Reliable C...

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IEEE Conference on Vehicular Technology (VTC)

作者： J. Ahmadi-Shokouh S. H. Jamali S. Safavi-Naeini M. Fakharzadeh Intelligent Multi Antenna Radio Systems (iMARS) Laboratory Department of Electrical & Computer Engineering University of Waterloo Waterloo ONT Canada

A soft antenna selection (SAS) method is basically implemented by a linear network (LN) which is located in RF domain of multiple-input multiple-output (MIMO) systems. In this paper, we find the optimum receiver SAS structure which maximizes the signal to interference-plus-noise ratio (SINR) gain for the diversity transmission in an interference channel. The optimization is applied for two practical cases of transmitters either with or without channel state information. A two-dimensional (2D) directive model is employed to realize the interference effect. A Rician channel model is used for computer simulation. The simulation results show the optimum SAS achieving the performance of the full-complexity MIMO, i.e. a MIMO system with the same number of antenna terminals and RF chains.

关键词： Interference Signal to noise ratio MIMO Synthetic aperture sonar Receiving antennas Gain Receivers

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Sensor diagnostics for autonomous digital structural health monitoring systems

Sensor diagnostics for autonomous digital structural health ...

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26th Conference and Exposition on Structural Dynamics 2008, IMAC-XXVI

作者： Grisso, Benjamin L. Kim, Jina Ha, Dong S. Inman, Daniel J. Center for Intelligent Material Systems and Structures Virginia Polytechnic Institute State University Blacksburg VA 24061 United States Virginia Tech. VLSI for Telecommunications Laboratory Department of Electrical and Computer Engineering Virginia Polytechnic Institute Blacksburg VA 24061-0111 United States

ISBN: (纸本)9781605600666

Previously, hardware has been developed for the impedance-based structural health monitoring technique. This low power health monitoring prototype utilizes a digital signal processor evaluation board to implement a damage detection algorithm. Digital rectangular pulse trains are utilized to excite the structure, and structural response is measured via a digital signal representation. As this scheme for observing structural damage is different from standard impedance measurement methods, the procedure of performing sensor diagnostics will also need to be altered. The research presented in this paper will document efforts to adapt sensor diagnostics for the impedance method to a digital format. Experiments will be used to verify the new sensor diagnostics algorithm, and sensor degradation will be compared with structural deformities.

关键词： Digital signal processors

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CARBON REDUCTION POTENTIAL WITH intelligent CONTROL OF POWER systems

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IFAC Proceedings Volumes 2008年第2期41卷 13952-13957页

作者： Ganesh K. Venayagamoorthy Gabriele Braband Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO 65409 USA Simmons & Simmons Dusseldorf Germany

Climate change caused by anthropogenic greenhouse gas (GHG) emissions such as carbon dioxide (CO 2 ) is now widely accepted as a real condition that has potentially serious consequences for human society and industries need to factor this into their strategic plans. One salient planning assumption is that energy - essential for every activity - will become more expensive relative to other inputs. Economic growth does not have to be linked to an increase of GHG emissions and can be attained in addition to the usage of renewable energy sources by using energy efficiency technologies for power system generation, transmission, and distribution. The development of intelligent energy-efficient control technologies will both soften negative effects of the climate change on the economy and enhance energy security. This paper outlines the significant carbon reduction potential with intelligent control and optimization techniques applied to power system generation and transmission systems with and without wind farms.

关键词： intelligent control Economics Emissions Optimization Power systems

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Switch loss and antenna directivity effects on MIMO antenna selection

Switch loss and antenna directivity effects on MIMO antenna ...

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Canadian Conference on electrical and computer engineering (CCECE)

作者： J. Ahmadi-Shokouh S. H. Jamali S. Safavi-Naeini G. Z. Rafi Intelligent Multi-Antenna Radio Systems (iMARS) Laboratory Department of Electrical & Computer Engineering University of Waterloo of Canada Waterloo ONT Canada

In this paper, we study the effect of antenna directivity on multi-input-multi-output (MIMO) antenna selection. A 4 orthogonal pattern antenna array platform at the receiver side associated with an antenna selection mechanism is used in this study. The performance of the proposed method is evaluated for two cases where the antenna selection switches are located either after or before Low Noise Amplifiers (LNA), on a MIMO system under the diversity transmission. The results show how the antenna directivity and switch loss can affect the overall MIMO system performance.

关键词： Switches MIMO Directive antennas Microstrip antenna arrays Antenna arrays Receiving antennas Diversity methods Radio frequency Microstrip antennas Array signal processing

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