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International Symposium on Electrical Insulating Materials

作者： D. Zmarzly T. Boczar M. Lorenc Department of Electrical Engineering Automatic Control and Computer Science Opole University of Technology Opole Poland

ISBN: (纸本)9784886860057

The paper presents streaming current distributions measured in an overflow system in both laminar and turbulent conditions. For lower values of Reynolds number the profile of current is parabolic. For higher values of Reynolds number the profile is flattened. In this paper also charge density distributions were determined in both cases. In the turbulent regime the volume charge density is distributed in the pipe more evenly compared with the laminar regime.

关键词： Electrodes Current distribution Temperature measurement Fluid flow Density measurement Frequency measurement

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Dielectric properties of fullerene-doped hydrocarbons

Dielectric properties of fullerene-doped hydrocarbons

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International Conference on Conduction and Breakdown in Dielectric Liquids

作者： D. Zmarzly P. Aksamit T. Boczar Department of Electrical Engineering Automatic Control and Computer Science Opole University of Technology Proszkowska Poland

The paper presents the concept of modifying dielectric properties of hydrocarbons by the addition of C 60 fullerenes. Streaming electrification current of pure and C 60 -doped toluene was examined using rotating electrometer constructed by authors of this work. The influence of C 60 addition on electrification current was determined.

关键词： Hydrocarbons Carbon Dielectrics Solvents Chemistry Bluetooth Dielectric liquids

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Acoustic emission spectral analysis of ultrasound induced cavitation in insulating oil

Acoustic emission spectral analysis of ultrasound induced ca...

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International Symposium on Electrical Insulating Materials

作者： M. Lorenc M. Szmechta D. Zmarzly T. Boczar Department of Electrical Engineering Automatic Control and Computer Science Opole University of Technology Opole Poland

ISBN: (纸本)9784886860057

The paper presents some spectral analysis results of acoustic emission observed during ultrasound driven round bottomed flask with fresh insulating oil inside. At suitable value of signal amplitude and frequency many of cavitation bubbles were observed. Collapsing bubbles were responsible for broadband noise included in acoustic emission signal spectra. To represent the cavitation intensity a simple cavitation indicator based on power spectral densities of acoustic emission signal was proposed.

关键词： Acoustic emission Petroleum Acoustics Acoustic measurements Broadband communication Frequency estimation Aging

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Exploiting Laguerre functions to improve the feasibility/performance compromise in MPC

Exploiting Laguerre functions to improve the feasibility/per...

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IEEE Conference on Decision and control

作者： J.A. Rossiter Liuping Wang Department of Automatic Systems and Control Engineering University of Sheffield UK School of Electrical and Computer Engineering RMIT University Australia

ISBN: (纸本)9781424431236

This paper develops a novel mechanism for managing the performance and feasibility trade off within predictive control. Specifically, it demonstrates that the potential of Laguerre functions needs more investigation by the community as this offers a simple and effective alternative to the more usual parameterisations using pulse operator in the predictions. The paper develops a simple and efficient dual-mode algorithm using Laguerre functions and demonstrates, by example, the improvements with respect to a conventional approach, in terms of performance and feasibility benefits.

关键词： Open loop systems Predictive control control systems Infinite horizon Algebra computer industry Electrical equipment industry Industrial control control engineering Trajectory

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Disturbance rejection and set-point tracking of sinusoidal signals using Generalized Predictive control

Disturbance rejection and set-point tracking of sinusoidal s...

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IEEE Conference on Decision and control

作者： Liuping Wang J.A. Rossiter School of Electrical and Computer Engineering RMIT University Australia Department of Automatic Systems and Control Engineering University of Sheffield UK

ISBN: (纸本)9781424431236

This paper seeks to extend Generalized Predictive control (GPC) to tracking of trajectories in a periodic nature. The initial focus is on sinusoidal trajectories, but the work may be extended later on to a signal with bandlimited frequencies. In addition, this paper proposes strategies for optimizing the prefilter in GPC to improve the transient performance in setpoint tracking.

关键词： Predictive control Predictive models Steady-state Trajectory computer errors Error correction Cutting tools Frequency domain analysis Robustness Signal generators

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Experimental evaluation of power control algorithms for wireless sensor networks

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IFAC Proceedings Volumes 2008年第2期41卷 619-624页

作者： Pan Gun Park Carlo Fischione Karl H. Johansson Automatic Control Lab School of Electrical Engineering Royal institute of technology Stockholm Sweden Department of Electrical Engineering and Computer Sciences UC Berkeley Berkeley CA USA

The main contribution of this paper is the implementation and experimental evaluation of thee radio power control algorithms for wireless sensor networks. We illustrate the necessity of lightweight radio power control algorithms for the deployment of wireless sensor networks in realistic situations. Furthermore, based on a simple loss model, we develop an algorithm that optimizes the transmit power while guaranteeing a desired packet error probability. The simple power control strategy is also compared with two other strategies in experiments using Tmote Sky sensor nodes. A component-based software implementation in the Contiki operating system is used.

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Convex relaxation approach to the identification of the Wiener-Hammerstein model

Convex relaxation approach to the identification of the Wien...

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IEEE Conference on Decision and control

作者： Kin Cheong Sou Alexandre Megretski Luca Daniel Department of Automatic Control Lund Institute of Technology Sweden Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology USA

ISBN: (纸本)9781424431236

In this paper, an input/output system identification technique for the Wiener-Hammerstein model and its feedback extension is proposed. In the proposed framework, the identification of the nonlinearity is non-parametric. The identification problem can be formulated as a non-convex quadratic program (QP). A convex semidefinite programming (SDP) relaxation is then formulated and solved to obtain a sub-optimal solution to the original non-convex QP. The convex relaxation turns out to be tight in most cases. Combined with the use of local search, high quality solutions to the Wiener-Hammerstein identification can frequently be found. As an application example, randomly generated Wiener-Hammerstein models are identified.

关键词： System identification Quadratic programming Output feedback Power system modeling Piecewise linear techniques Polynomials Gaussian noise Least squares approximation Maximum likelihood estimation Noise measurement

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Balanced Truncation for a General Class of Discrete-Time Markov Jump Linear Systems

Balanced Truncation for a General Class of Discrete-Time Mar...

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2008 American control Conference (ACC), vol.10

作者： Georgios Kotsalis Anders Rantzer Department of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Department of Automatic Control Lund University Lund Sweden

This paper develops a generalization of the balanced truncation algorithm applicable to discrete-time Markov jump linear systems. The approximation error, which is captured by means of the stochastic L_(2) gain, is bo... 详细信息

关键词： Linear systems Reduced order systems Stochastic processes Networked control systems control systems Approximation error Costs Robustness Approximation methods Multidimensional systems

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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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Intelligent denoising technique for spatial video denoising for real-time applications

Intelligent denoising technique for spatial video denoising ...

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International Conference on computer engineering and Systems

作者： Rasha Orban Mahmoud Mohamed T. Faheem Amany Sarhan Nile Institute of Commerce and Computer Technology Mansoura Egypt Computers and Automatic Control Department Faculty of Engineering Tanta University Egypt

With the wide spread of video usage in many fields of our lives, it becomes very important to develop new techniques for video denoising. Spatial video denoising using wavelet transform has been the focus of the current researches as it requires less computation and more suitable for real-time applications. Two specific techniques for spatial video denoising using wavelet transform are considered in this work: 2D Discrete Wavelet Transform (2D DWT) and 2D Dual Tree Complex Wavelet Transform (2D DTCWT). Each of these techniques has its advantages and disadvantages. The first technique gives less quality at high levels of noise but consumes less time while the second gives high quality video while consuming long. In this work, we introduce an intelligent denoising system that makes a tradeoff between the quality of the denoised video and the time required for denoising. The system first estimates the noise level in the video frame then accordingly chooses the proper of the two denoising techniques to apply on the frame. The simulation results show that the proposed system is more suitable for real-time applications where the time is critical while giving high quality videos especially at low to moderate levels of noise.

关键词： Noise reduction Gaussian noise Additive white noise Discrete wavelet transforms Video compression Noise level Optoelectronic and photonic sensors AWGN Motion estimation Focusing

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