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European Control Conference

作者： Andrea Aparicio Martinez Fernando Castanos Leonid Fridman Electrical Engineering PhD Program of the Faculty of Engineering Universidad Nacional Autonoma de Mexico Departamento de Control Automatico Cinvestav IPN Faculty of Engineering Universidad Nacional Autonoma de Mexico

ISBN: (纸本)9781467371605

In this paper we present a controller that achieves global input-to-state stability for a linear system of arbitrary relative degree, subjected to matched and unmatched disturbances. This controller combines the properties of a discontinuous term, and a linear one, enforcing a conventional sliding mode using only partial state information. A direct and simple way of choosing the gains for this controller is also provided.

关键词： Convergence Upper bound Backstepping Trajectory Linear systems Asymptotic stability

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Triaxial MMG investigation during FES-induced cycle movements

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Journal of Physics: Conference Series 2016年第1期705卷

作者： M C Gelain G N Nogueira-Neto P Nohama P M Gewehr Master's student of Electrical Engineering and Industrial Informatics at UTFPR (Rehabilitation engineering laboratory phone: +55 (41) 3310-4489) Brazil PhD in Biomedical Engineering researcher and professor of Computer Engineering at Pontifícia Universidade Católica do Paraná (PUCPR) Brazil PhD in Biomedical Engineering researcher and full professor at the PPGTS stricto sensu program at Pontifícia Universidade Católica do Paraná (PUCPR) Brazil PhD in Medical Physics Bioengineering and professor of Biomedical engineering at UTFPR Brazil

Spinal cord injury is damage to the spinal cord that results in loss of functions, causes muscle, joint and bone deficits, moreover it increases the muscle tone level. FEScycling is an alternative rehabilitation process to conserve the musculoskeletal system affected by the injury in the functional state. The aim of this study is to get the legs bilaterally synchronized by FES and compare MMG signal responses. The preliminary protocol consists of five consecutive contractions. The first and the last contractions were discarded and the three intermediate contractions were analyzed. A ratio between MMG values of muscle responses during propulsion and return of pedalling phases was calculated for each cycle and each leg. The applied FES profile consisted of pulse and burst on time of 250 us and 5 ms and frequencies of 1000 Hz and 20 Hz, respectively. Results showed that greater MMG RMS values tend to occur during the propulsion phase than in the return phase. MMG Z axis of RLL and MMG X axis of LLL were the axes that presented the greatest ratios. The MMG RMS signal showed that greater values tend to occur during the propulsion phase than in the return phase of the same thigh.

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A quantitative classification of essential and Parkinson's tremor using wavelet transform and artificial neural network on sEMG and accelerometer signals

A quantitative classification of essential and Parkinson's t...

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IEEE International Conference on Networking, Sensing and Control

作者： Santosh Kumar Nanda Wen-Yen Lin Ming-Yih Lee Rou-Shayn Chen PhD Program in Biomedical Engineering Chang Gung University Taiwan Tao-Yuan Taiwan Graduate Institute of Medical Mechatronics Chang Gung University Taiwan Tao-Yuan Taiwan Department of Electrical Engineering Chang Gung University Taiwan Tao-Yuan Taiwan Department of Neurology Chang Gung Memorial Hospital Taiwan Tao-Yuan Taiwan

Correct discrimination of essential tremor from Parkinson's tremor is a major problem in clinical neurology as minor differences in the tremor patterns are hard to distinguish. Mathematical analysis of tremor signals recorded non-invasively has been widely accepted for tremor differentiation. However, classification of tremor signals collected from electromyograph or accelerometer, based on time and frequency domain techniques has limited accuracy because of overlapping frequency range and non-stationary nature of those signals. This paper describes a simple, non-invasive decision making logic method for discrimination of tremor. Wavelet transform based feature extraction technique in combination with feed forward type artificial neural network is proposed. Fractal dimensions of wavelet features of the decomposed detailed coefficients are used as the feature matrix. The neural network classified the tremor sEMG signals with 91.66% accuracy and 100% in case of accelerometer signals. Although, the classification accuracy of sEMG signal is comparable to that of accelerometer but the localized involuntary vibratory nature of tremor at the extremities of human body puts accelerometer as a better option in cases where tremor fails to excite the muscle. This proposed classification algorithm adds strength to the non-invasive signal detection methods at reduced cost and higher sensitivity.

关键词： Accelerometers Artificial neural networks Fractals Wavelet analysis Wavelet transforms Accuracy

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Economic comparison of deloaded-wind and wind-battery systems

Economic comparison of deloaded-wind and wind-battery system...

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2014 6th Annual IEEE Green Technologies Conference, GREENTECH 2014

作者： Singarao, Venkatesh Yadav Nimmagadda, Sandeep Rao, Vittal Multi-Disciplinary Wind Science and Engineering PhD Program Texas Tech University Lubbock United States Electrical and Computer Engineering Texas Tech University Lubbock United States Department of Electrical and Computer Engineering Texas Tech University Lubbock United States

ISBN: (纸本)9781479939336

With the increasing grid penetration levels of wind power, there is a large need for the energy reserves for grid support during under-frequency conditions. Such energy reserves are created by operating the wind farm at non-optimum/deloaded operating points, as well as through storage of excess energy in Batteries. This paper provides technical and economic analysis of the above strategies and thus provides a case comparison of deloaded wind farm to that of wind-Battery system. A simplified Excel-based Proforma financial model has been developed to perform sensitivity analysis, as well as to obtain the impact of these strategies on the cost of energy. © 2014 IEEE.

关键词： Electric batteries

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engineering practice: Teaching ill-structured problem solving in an internship-like course

Engineering practice: Teaching ill-structured problem solvin...

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2014 4th IEEE Global engineering Education Conference: engineering Education Towards Openness and Sustainability, IEEE EDUCON 2014

作者： Božić, Marija Čizmić, Svetlana Pavlović, Dragana Šumarac Escalas Tramullas, M. Teresa Telekom Srbija Belgrade Serbia Interuniversity PhD Program in Environmental Education Autonomous University of Barcelona Barcelona Spain Department of Psychology Faculty of Philosophy University of Belgrade Belgrade Serbia Department of Telecommunications School of Electrical Engineering University of Belgrade Belgrade Serbia Depart. of Didactics of Math. and Experimental Sciences Autonomous University of Barcelona Barcelona Spain

ISBN: (纸本)9781479931910

engineering graduates who enter the work environment after finishing their studies are faced with completely different setting compared to the safe academy environment that they are used to. Main differences at the workplace include dealing with uncertainty on a daily basis, solving open-ended and/or ill-structured problems and having to manage teamwork and communication on different educational and professional levels. Students should be faced with these aspects of engineering practice during their studies in order to prepare for work. As conventional engineering curricula often do not provide opportunities for such a practice, we designed the internship-like course with general objective to provide this opportunity for final year students and to define teaching strategies that can support students in the transition from the academy to the workplace. In this paper we describe main issues and challenges of the learning experiences that we found during our action research over four 10 week courses, from 2010/2011 to 2012/2013. © 2014 IEEE.

关键词： Students

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Optimizing the Energy Portfolio of the Mexican Electricity Sector by 2050 Considering CO 2 eq Emissions and Life Cycle Assessment

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Energy Procedia 2014年 57卷 850-859页

作者： Edgar Roberto Sandoval García Arturo Morales-Acevedo PhD Program on Science Technology & Society CINVESTAV- IPN Av. Inst. Pol. Nacional No. 2508 07360 Mexico D. F. Mexico Electrical Engineering Departmnet CINVESTAV- IPN Av. Inst. Pol. Nacional No. 2508 07360 Mexico D. F. Mexico

Today, Mexico is one of the leading countries of the Latin American region in receiving foreign direct investment, with expected GDP growth for the coming years between 4% and 6% per annum, according to estimates published by the OECD and other international organizations. Sustaining such growth demands the strengthening of one of the main pillars of economic development, the National Electricity Sector. To accomplish this growth in the electricity sector will require an energy portfolio that allows for three basic conditions in the sector's planning: reliability, economy and sustainability. To ensure the sustainability of the National Electric Sector, the optimal energy portfolio must meet the CO 2 eq emission reduction that the country has adopted based on international commitments. Sources of electricity generation with low water consumption as well as reduced pollutant discharge are needed, given the great importance of water efficiency in energy production. This paper determines an optimal energy portfolio involving conventional technologies, clean technologies and alternative and intermittent renewable technologies, based on a simple optimization model and using variables such as future electricity demand, CO 2 eq emissions by source, and taking into account data from several studies of life cycle assessment of the electricity sector, such as energy payback rate and water pollution. The research presented assumes two scenarios of growth in electricity demand of about 350 and 1,150 TW-hours in 2050.

关键词： energy portfolio optimization mexican electricity sector life cycle assessment GHG emissions.

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Dynamic Surface for Output Feedback Sliding Modes, the Case of Relative Degree Two

Dynamic Surface for Output Feedback Sliding Modes, the Case ...

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IEEE Annual Conference on Decision and Control

作者： Andrea Aparicio Martinez Fernando Castanos Leonid Fridman Electrical Engineering PhD Program of the Faculty of Engineering Universidad Nacional Autonoma de Mexico Departamento de Control Automatico Cinvestav IPN Mexico Faculty of Engineering Universidad Nacional Autonoma de Mexico

ISBN: (纸本)9781467357159

A general transformation that takes linear systems into their regular form, for any relative degree is introduced. A sliding surface where unmatched unknown inputs are attenuated via a reduced order H_∞ control is designed, for the case of relative degree two. By a discontinuous control action, the surface is reached exactly in finite time, guaranteeing the minimization of the unmatched disturbance. Complete state measurements are not necessary.

关键词： INCOMPATIBLE Linear system Output feedback Standing Orders Family Members control action discontinuous control Slip surfaces Reduced order

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Review on engineering and Regulatory aspects associated with Frequency Control Capabilities of Wind Power Plants

Review on Engineering and Regulatory aspects associated with...

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IEEE Energytech

作者： Venkatesh Yadav Singarao Vittal Rao Mark A. Harral multi-disciplinary Wind Science and Engineering PhD program Texas Tech University Department of Electrical & Computer Engineering Texas Tech University GroupNIRE clean energy development company

ISBN: (纸本)9781467344456

With the increasing grid penetration levels of wind power, there is an increasing need to study both the power control systems and the regulatory aspects associated with frequency control capabilities of wind power plants at various levels (turbine, wind farm and power system levels). This is especially very important in the United States with a goal of achieving 20% nation's electricity from wind energy by 2030. This paper provides observations and challenges identified with wind energy integration with respect to active power control strategies used in implementing frequency regulation at various levels. This paper also discusses the current and future aspects of market regulation of frequency responsive services offered by converter based variable generation technologies and the need for an appropriate utility market structure in order to provide settlements for these capabilities.

关键词： Inertial and Primary Frequency Response Frequency Regulation Standards Ancillary Service Markets Wind Power Plants

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Fault Detection and Isolation for Nonlinear Systems via HOSM Multiple-Observer *

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IFAC Proceedings Volumes 2012年第20期45卷 534-539页

作者： H. Ríos C. Edwards J. Davila L. Fridman National Autonomous University of Mexico Program of PhD in Electrical Engineering Engineering Faculty C.P. 04510 Mexico D.F Control and Instrumentation Research Group Department of Engineering University of Leicester University Road Leicester LE1 7RH UK National Polytechnic Institute Section of Graduate Studies and Research ESIME-UPT C.P. 07340 Mexico D.F Department of Automatic Control CINVESTAV-IPN Mexico D.F. AP-14-740 on leave on National Autonomous University of Mexico Engineering Department of Control and Robotics Division of Electrical Engineering Engineering Faculty C.P. 04510 Mexico D.F

The fault detection and isolation problem is studied for a class of nonlinear systems. Under structural conditions, a bank of High-Order Sliding-Mode observers is proposed. The value of the equivalent output injection is used for detecting and isolating particular faults in the system. The proposed method provides finite-time isolation of actuator and plant faults. Simulation results support the proposed approach.

关键词： High-order Sliding-Mode Observers Fault Detection Fault Isolation

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