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International Conference on Mechanical and Electronics engineering (ICMEE)

作者： Ondrej Krejcar Robert Frischer Department of Measurement and Control Center for Applied Cybernetics Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic Department of Automation and Computing in Metallurgy VSB-Technical University of Ostrava Ostrava Czech Republic

This article has been retracted by the publisher.

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An inventory of potentially habitable environments on Mars: Geological and biological perspectives

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Special Paper of the Geological Society of America 2011年 483卷 317-347页

作者： Dohm, J.M. Miyamoto, H. Ori, G.G. Fairén, A.G. Davila, A.F. Komatsu, G. Mahaney, W.C. Williams, J.-P. Joye, S.B. Di Achille, G. Oehler, D.Z. Marzo, G.A. Schulze-Makuch, D. Acocella, V. Glamoclija, M. Pondrelli, M. Boston, P. Hart, K.M. Anderson, R.C. Baker, V.R. Fink, W. Kelleher, B.P. Furfaro, R. Gross, C. Hare, T.M. Frazer, A.R. Ip, F. Allen, C.C.R. Kim, K.J. Maruyama, S. McGuire, P.C. Netoff, D. Parnell, J. Wendt, L. Wheelock, S.J. Steele, A. Hancock, R.G.V. Havics, R.A. Costa, P. Krinsley, D. Department of Hydrology and Water Resources University of Arizona Tucson AZ United States University Museum Tokyo Japan International Research School of Planetary Sciences Università d'Annunzio Pescara Italy Space Sciences and Astrobiology Division National Aeronautics and Space Administration Ames Research Center Moffett Field CA United States SETI Institute Mountain View CA United States Planetary Exploration Research Center Chiba Institute of Technology Chiba Japan Quaternary Surveys Toronto ON Canada Division of Geological and Planetary Sciences California Institute of Technology Pasadena CA United States Ashima Research Pasadena CA United States Department of Marine Sciences University of Georgia Athens GA United States Laboratory for Atmospheric and Space Physics University of Colorado Boulder CO United States Astromaterials Research and Exploration Science NASA Johnson Space Center Houston TX United States Bay Area Environmental Research Institute Sonoma CA United States School of Earth and Environmental Sciences Washington State University Pullman WA United States Dipartimento Science Geologiche Università Roma Tre Rome Italy Geophysical Laboratory Carnegie Institution of Washington Carnegie WA United States Department of Earth and Environmental Science New Mexico Tech Socorro NM United States School of Chemical Sciences Dublin City University Dublin Ireland Jet Propulsion Laboratory California Institute of Technology Pasadena CA United States Division of Physics Mathematics and Astronomy California Institute of Technology Pasadena CA United States Departments of Electrical and Computer Engineering and Biomedical Engineering University of Arizona Tucson AZ United States Department of Aerospace and Mechanical Engineering University of Arizona Tucson AZ United States Institute of Geological Sciences-Planetary Sciences and Remote Sensing Freie Universität Berlin Malteserstrasse Berlin Germany U.S. Geological Survey Flagstaff

ISBN: (纸本)9780813724836

On Earth, biology, hydrology, and geology are interlinked such that certain types of life are often associated with specifi c conditions, including rock type, pressure, temperature, and chemistry. Life on Earth has established itself in diverse and extreme niches, presenting the possibility that Mars, too, may hold records of fossilized and/or extant life in diverse environments. Geologic, paleohydrologic, and climatic conditions through the evolution of Mars are similar in many respects to conditions occurring during the evolution of Earth and, as such, may point to environments on Mars with potential to have supported living systems. Here, we discuss examples of those Martian settings. Such extraterrestrial environments should be targeted by international robotic and/or manned missions to explore potential fossilized or extant life on Mars. © 2011 Geological Society of America.

关键词： Geology

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Augmented Adaptive control of a Wind Turbine in the Presence of Structural Modes

Augmented Adaptive Control of a Wind Turbine in the Presence...

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American control Conference

作者： Susan A. Frost Mark J. Balas Alan D. Wright NASA Ames Research Center Moffett Field CA 94035 USA Department of Electrical and Computer Engineering University of Wyoming Laramie WY 82071 USA National Renewable Energy Laboratory DOE Golden CO 80401 USA

ISBN: (纸本)9781424474264

Wind turbines operate in highly turbulent environments resulting in aerodynamic loads that can easily excite turbine structural modes, potentially causing component fatigue and failure. Two key technology drivers for turbine manufacturers are increasing turbine up time and reducing maintenance costs. Since the trend in wind turbine design is towards larger, more flexible turbines with lower frequency structural modes, manufacturers will want to develop methods to operate in the presence of these modes. Accurate models of the dynamic characteristics of new wind turbines are often not available due to the complexity and expense of the modeling task, making wind turbines ideally suited to adaptive control. In this paper, we develop theory for adaptive control with rejection of disturbances in the presence of modes that inhibit the controller. We use this method to design an adaptive collective pitch controller for a high-fidelity simulation of a utility-scale, variable-speed wind turbine operating in Region 3. The objective of the adaptive pitch controller is to regulate generator speed, accommodate wind gusts, and reduce the interference of certain structural modes in feedback. The control objective is accomplished by collectively pitching the turbine blades. The adaptive pitch controller for Region 3 is compared in simulations with a baseline classical Proportional Integrator (PI) collective pitch controller.

关键词： Adaptive control Wind turbines Programmable control Aerodynamics Region 3 Proportional control Fatigue Manufacturing Costs Frequency

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Stabilization of a Class of Linear Systems with Input Delay and the Zero Distribution of Their Characteristic Equations

Stabilization of a Class of Linear Systems with Input Delay ...

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The 8th World Congress on Intelligent control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Bin Zhou Zongli Lin Guang-Ren Duan Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin 150001Chi Charles L.Brown Department of Electrical and Computer Engineering University of VirginiaP.O.Box 400 Center for Control Theory and Guidance Technology Harbin Institute of TechnologyHarbin 150001 Ch

This paper is concerned with stabilization of linear systems with arbitrarily large and bounded (time-varying) delay in the actuator. A new class of feedback laws based on poleassignment low gain design is proposed to solve the problem. Both delay-dependent and delay-independent results are presented and a series of sufficient conditions for guaranteeing the stability of the closed-loop system is presented. By using properties of this class of new feedback laws and the properties of some transcendental equations, exact zeros distribution of the closed-loop system is discussed. As a result, necessary and sufficient condition is given to guarantee the stability of the closed-loop system. All the conditions given in the paper are independent of the low gain parameter and are convenient to use in practice. Numerical example is given to illustrate the effectiveness of the proposed approach.

关键词： Delay Polynomials Eigenvalues and eigenfunctions Stability criteria Linear systems

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Modified adaptive control for region 3 operation in the presence of wind turbine structural modes

Modified adaptive control for region 3 operation in the pres...

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作者： Frost, Susan A. Balas, Mark J. Wright, Alan D. NASA Ames Research Center Intelligent Systems Division M/S 269-2 Moffett Field CA 94035 United States Department of Electrical and Computer Engineering University of Wyoming 1000 E. University Avenue Laramie WY 82071 United States National Renewable Energy Laboratory M/S 3811 1617 Cole Blvd. Golden CO 80401 United States

ISBN: (纸本)9781600867392

Many challenges exist for the operation of wind turbines in an efficient manner that is reliable and avoids component fatigue and failure. Turbines operate in highly turbulent environments resulting in aerodynamic loads that can easily excite turbine structural modes, possibly causing component fatigue and failure. Wind turbine manufacturers are highly motivated to reduce component fatigue and failure that can lead to loss of revenue due to turbine down time and maintenance costs. The trend in wind turbine design is toward larger, more flexible turbines that are ideally suited to adaptive control methods due to the complexity and expense required to create accurate models of their dynamic characteristics. In this paper, we design an adaptive collective pitch controller for a high-fidelity simulation of a utility-scale, variable-speed horizontal axis wind turbine operating in Region 3. The objective of the adaptive pitch controller is to regulate generator speed, accommodate wind gusts, and reduce the excitation of structural modes in the wind turbine. The control objective is accomplished by collectively pitching the turbine blades. The adaptive collective pitch controller for Region 3 was compared in simulations with a baseline classical Proportional Integrator (PI) collective pitch controller. The adaptive controller will demonstrate the ability to regulate generator speed in Region 3, while accommodating gusts, and reducing the excitation of certain structural modes in the wind turbine.

关键词： controllers

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A Parametric Periodic Lyapunov Equation with Application in Semi-global Stabilization of Discrete-Time Periodic Systems Subject to Actuator Saturation

A Parametric Periodic Lyapunov Equation with Application in ...

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American control Conference

作者： Bin Zhou Guang-Ren Duan Zongli Lin Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin Heilongjiang 150001 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA 22904-4743 U.S.A.

ISBN: (纸本)9781424474264

This paper is concerned with semi-global stabilization of discrete-time linear periodic systems subject to actuator saturation. Provided that the open loop characteristic multipliers are within the closed unit circle, a low gain feedback design approach is proposed to solve the problem by state feedback. Our approach is based on the solution to a parametric discrete-time periodic Lyapunov equation. The proposed approaches not only generalize the corresponding results for time-invariant systems to periodic systems, but also reveal some important intrinsic properties of this class of periodic matrix equations. A numerical example is worked out to illustrate the effectiveness of the proposed approaches.

关键词： Periodic system Lyapunov equation State feedback discrete-time Time invariant systems discrete time systems Periodic Unit circle actuators Parametric

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On Distributed Order Low-Pass Filter

On Distributed Order Low-Pass Filter

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2010 IEEE/ASME International Conference on Mechatronic and Embedded System and Applications(2010 IEEE 机电一体化和嵌入式系统与应用国际会议)

作者： Yan Li Hu Sheng YangQuan Chen School of Control Science and Engineering Shandong UniversityJinan Shandong 250061 P. R. China. Department of Electronic Engineering Dalian University of TechnologyDalian 116024 P. R. China. Center for Self-Organizing and Intelligent Systems (CSOIS) Department of Electrical and Computer En

In this paper, we derive the impulse response of the fractional distributed order low-pass filters. Based on the derived analytical impulse response, a method on how to perform the discretization of the above distribu... 详细信息

关键词： computer languages

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A learning-based autonomous driver: Emulate human driver's intelligence in low-speed car following

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Proceedings of SPIE - The International Society for Optical engineering 2010年 7693卷

作者： Wei, Junqing Dolan, John M. Litkouhi, Bakhtiar Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA 15213 United States Robotics Institute Carnegie Mellon University Pittsburgh PA 15213 United States GM-CMU Autonomous Driving Collaborative Research Lab. GM R and D Center Warren MI 48090 United States

ISBN: (纸本)9780819481573

In this paper, an offline learning mechanism based on the genetic algorithm is proposed for autonomous vehicles to emulate human driver behaviors. The autonomous driving ability is implemented based on a Prediction- and Cost function-Based algorithm (PCB). PCB is designed to emulate a human driver's decision process, which is modeled as traffic scenario prediction and evaluation. This paper focuses on using a learning algorithm to optimize PCB with very limited training data, so that PCB can have the ability to predict and evaluate traffic scenarios similarly to human drivers. 80 seconds of human driving data was collected in low-speed (

关键词： Learning algorithms

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Frequency domain surface EMG sensor fusion for estimating finger forces

Frequency domain surface EMG sensor fusion for estimating fi...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Chandrasekhar Potluri Parmod Kumar Madhavi Anugolu Alex Urfer Steve Chiu D. Subbaram Naidu Marco P. Schoen Measurement and Control Engineering Research Center MCERC Idaho State University Pocatello ID USA MCERC Idaho State University Pocatello ID USA Department of Physical and Occupational Therapy Idaho State University Pocatello ID USA Department of Electrical Engineering and Computer Science MCERC Idaho State University Pocatello ID USA Department of Mechanical Engineering MCERC Idaho State University Pocatello ID USA

Extracting or estimating skeletal hand/finger forces using surface electro myographic (sEMG) signals poses many challenges due to cross-talk, noise, and a temporal and spatially modulated signal characteristics. Normal sEMG measurements are based on single sensor data. In this paper, array sensors are used along with a proposed sensor fusion scheme that result in a simple Multi-Input-Single-Output (MISO) transfer function. Experimental data is used along with system identification to find this MISO system. A Genetic Algorithm (GA) approach is employed to optimize the characteristics of the MISO system. The proposed fusion-based approach is tested experimentally and indicates improvement in finger/hand force estimation.

关键词： Force Electromyography Muscles Transfer functions Sensor fusion Force measurement

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Spectral clustering approach with sparsifying technique for functional connectivity detection in the resting brain

Spectral clustering approach with sparsifying technique for ...

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International Conference on Intelligent and Advanced Systems, ICIAS

作者： Mahdi Ramezani Amin Heidari Emad Fatemizadeh Hamid Soltanian-Zadeh Biomedical Signal and Image Processing Laboratory Sharif University of Technology Tehran Iran Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI USA Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Iran

The aim of this study is to assess the functional connectivity from resting state functional magnetic resonance imaging (fMRI) data. Spectral clustering algorithm was applied to the realistic and real fMRI data acquired from a resting healthy subject to find functionally connected brain regions. In order to make computation of the spectral decompositions of the entire brain volume feasible, the similarity matrix has been sparsified with the t-nearest-neighbor approach. Realistic data were created to investigate the performance of the proposed algorithm and comparing it to the recently proposed spectral clustering algorithm with the Nystrom approximation and also with some well-known algorithms such as the Cross Correlation Analysis (CCA) and the spatial Independent Component Analysis (sICA). To enhance the performance of the methods, a variety of data pre and post processing steps, including data normalization, outlier removal, dimensionality reduction by using wavelet coefficients, estimation of number of clusters and optimal number of independent components (ICs). Results demonstrate the applicability of the proposed algorithm for functional connectivity analysis.

关键词： Clustering algorithms Algorithm design and analysis Correlation Approximation methods Independent component analysis Time series analysis Approximation algorithms

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