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2014 IEEE Industry Application Society Annual Meeting, IAS 2014

作者： Moghadasi, Seyedmahdi Kamalasadan, Sukumar Power Energy and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of North Carolina at Charlotte CharlotteNC United States

ISBN: (纸本)9781479922888

In this paper, we propose a convex Optimal Power Flow (OPF) formulation integrated within Receding Horizon Control (RHC) method using Second Order Conic Programming (SOCP). The main advantages of the proposed method are a) global optimal scheduling with faster computation time b) dynamic equation models with real-time control c) integration of uncertain resources and measurements. The effectiveness of this method is evaluated using a 32 bus power distribution test system, considering various network constraints that include market interaction, energy storage dynamics and uncertain model of wind generation. The efficiency of the proposed method compared to RHC AC Optimal Power Flow (RHC-ACOPF) architecture is also evaluated. The results show that the proposed architecture outperforms the RHC-ACOPF in computation time and guaranties the global optimal solution. Also the proposed method provides effective usage of energy storage system as the RHC integration allows including dynamic modeling of energy storage within the optimization algorithm. © 2014 IEEE.

关键词： Convex optimization

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Smart meter deployment: US initiatives

Smart meter deployment: US initiatives

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2014 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2014

作者： Milam, Megan Kumar Venayagamoorthy, G. Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University Clemson SC 29631 United States

ISBN: (纸本)9781479936526

The purpose of this study is to summarize the status of current smart meter deployment initiatives in the United States. This paper presents the findings from a survey that was sent to US utility companies listed on the department of Energy's smart grid website under the Recovery Act Smart Grid program. The survey provides information such as: the duration of the project, regions covered, budget, number of meters deployed (for residential, commercial, and industrial use), benefits (financial- and performance-based for customer and power companies), and obstacles. Emphasis is given to the successes and setbacks the companies faced during implementation. This study is aimed at bringing awareness to the electricity community of the overall progress across the U.S. towards development and deployment of Advanced Metering Infrastructure (AMI) systems and their impacts. © 2014 IEEE.

关键词： Advanced metering infrastructures

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Control Strategies for a Humanoid Robot to Drive and then Egress a Utility Vehicle for Remote Approach

Control Strategies for a Humanoid Robot to Drive and then Eg...

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IEEE-RAS International Conference on Humanoid Robots

作者： Hyobin Jeong Jaesung Oh Mingeuk Kim Kyungdon Joo In So Kweon Jun-Ho Oh Humanoid Research Center School of Mechanical Aerospace & Systems Engineering Department of Mechanical Engineering Korea Advanced Institute of Science and Technology Robotics and Computer Vision Laboratory School of Mechanical Aerospace & Systems Engineering Department of Electrical Engineering Korea Advanced Institute of Science and Technology Department of Electrical Engineering KAIST

ISBN: (纸本)9781479968862

This paper proposes strategies for the driving and egress of a vehicle with a humanoid robot. To drive the vehicle, the RANSAC method was used to detect obstacles, and the Wagon model was used to control the steering and velocity of the vehicle with only a limited number of sensors which were installed on the humanoid robot. Additionally, a manual teleoperating method was used with the lane projection technique. For the egress motion, gain override and the Cartesian position/force control technique were used to interact with the vehicle structure. To overcome the disadvantages of a highly geared manipulator, a special technique was used that included modelled friction compensation and a non-complementary switching mode. DRC-HUBO+ used the proposed method to perform a vehicle driving and egress task in the DRC finals 2015.

关键词： Humanoid robots EGRESS vehicle Vehicle driving Automobile driving UTILITY VEHICLES control strategy friction compensation DRIVES Steering

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Minimal exposure path algorithms for directional sensor networks

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Wireless Communications and Mobile Computing 2014年第10期14卷 979-994页

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

As a fundamental problem of wireless sensor networks, the minimal exposure path problem corresponding to the sensor network's worst-case coverage plays an important role in the applications for detecting intrusions. However, most existing works about minimal exposure path are based on omnidirectional sensors. In contrast, this paper studies the minimal exposure path problem for two different types of directional sensing models: the binary sector model and directional sensitivity model. For the binary sector model, we construct a special Voronoi diagram, called sector centroids-based Voronoi diagram, to transform the minimal exposure path problem from a continuous geometric problem into a discrete geometric problem. By using the sector centroids-based Voronoi diagram, we develop an approximate algorithm to find the minimal exposure path in the sensors deployment field. For the directional sensitive model, we formulate the minimal exposure path problem by using two sensing intensity functions: all-sensor intensity function and maximum-sensor intensity function and then generate two weighted grids to convert the minimal exposure path problem into two discrete geometric problems. On the basis of the aforementioned weighted grids, we also develop two approximation algorithms to find the minimal exposure path for the directional sensitive model. We conduct extensive experiment simulations to validate and evaluate our proposed models and algorithms. Copyright © 2012 John Wiley & Sons, Ltd. As a fundamental problem of wireless sensor networks, the minimal exposure path problem corresponding to the sensor network's worst-case coverage plays an important role in the applications for detecting intrusions. This paper studies the minimal exposure path problem for two different types of directional sensing models: the binary sector model and directional sensitivity *** construct a special Voronoi diagram and two weighted grids to transform the minimal exposure path problem f

关键词： Wireless sensor networks

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A p300 model for cerebot - A mind-controlled humanoid robot 2

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2nd International Conference on Robot Intelligence Technology and Applications, RiTA 2013

作者： Li, Mengfan Li, Wei Zhao, Jing Meng, Qinghao Zeng, Ming Chen, Genshe Institute of Robotics and Autonomous Systems School of Electrical Engineering and Automation Tianjin University Tianjin300072 China Department of Computer & Electrical Engineering and Computer Science California State University BakersfieldCA93311 United States Intelligent Fusion Technology Inc. GermantownMD20876 United States

ISBN: (纸本)9783319055817

In this paper, we present a P300 model for control of Cerebot - a mind-controlled humanoid robot, including a procedure of acquiring P300 signals, topographical distribution analysis of P300 signals, and a classification approach to identifying subjects’ mental activities regarding robot-walking behavior. We design two groups of image contexts to visually stimulate subjects when acquiring neural signals that are used to control a simulated or real NAO robot. Our study shows that the group of contexts using images of robot behavior delivers better performance. © Springer International Publishing Switzerland 2014.

关键词： Anthropomorphic robots

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Decoding of Intentional Actions from Scalp Electroencephalography (EEG) in Freely-behaving Infants

Decoding of Intentional Actions from Scalp Electroencephalog...

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

作者： Zachery R. Hernandez Jesus Cruz-Garza Teresa Tse Jose L. Contreras-Vidal Non-Invasive Brain-Machine Interface Systems Laboratory at the Department of Electrical and Computer Engineering University of Houston (UH) Center for Robotics and Intelligent Systems Tecnologico de Monterrey

ISBN: (纸本)9781424479276

The mirror neuron system (MNS) in humans is thought to enable an individual's understanding of the meaning of actions performed by others and the potential imitation and learning of those actions. In humans, electroencephalographic (EEG) changes in sensorimotor a-band at central electrodes, which desynchronizes both during execution and observation of goal-directed actions (i.e., μ suppression), have been considered an analog to MNS function. However, methodological and developmental issues, as well as the nature of generalized μ suppression to imagined, observed, and performed actions, have yet to provide a mechanistic relationship between EEG μ-rhythm and MNS function, and the extent to which EEG can be used to infer intent during MNS tasks remains unknown. In this study we present a novel methodology using active EEG and inertial sensors to record brain activity and behavioral actions from freely-behaving infants during exploration, imitation, attentive rest, pointing, reaching and grasping, and interaction with an actor. We used δ-band (1-4Hz) EEG as input to a dimensionality reduction algorithm (locality-preserving Fisher's discriminant analysis, LFDA) followed by a neural classifier (Gaussian mixture models, GMMs) to decode the each MNS task performed by freely-behaving 6-24 month old infants during interaction with an adult actor. Here, we present results from a 20-month male infant to illustrate our approach and show the feasibility of EEG-based classification of freely occurring MNS behaviors displayed by an infant. These results, which provide an alternative to the μ-rhythm theory of MNS function, indicate the informative nature of EEG in relation to intentionality (goal) for MNS tasks which may support action-understanding and thus bear implications for advancing the understanding of MNS function.

关键词： Electroencephalography Scalp Acceleration Training Coherence Electrodes Testing

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Short-term temperature prediction in buildings using advanced data analysis techniques

Engineering Intelligent Systems

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engineering intelligent systems 2015年第4期23卷 209-216页

作者： Carrasco, Juan J. Millán-Giraldo, Mónica Caravaca, Juan Díaz, Ignacio Sanchis, Javier Soria-Olivas, Emilio Intelligent Data Analysis Laboratory E.T.S.E University of Valencia Avda Universitat S/N Burjassot Valencia46100 Spain Electrical Engineering and Computer Systems Department University of Oviedo University Campus of Viesques Gijón Asturias33204 Spain Instituto Universitario de Automática e Informática Industrial Universitat Politécnica de Valencia Camino de Vera S/N Valencia46022 Spain

Reduction in energy consumption is of paramount importance due to the influence that it has on the economic, politics and on the use of natural resources. Within this field, energy efficiency in buildings sector constitutes one of the main concerns due to the fact that approximately 40% of total world energy consumption corresponds to this sector. Predicting the indoor temperature in advance can help to act more efficiently on Heating, Ventilation fans and Air Conditioning (HVAC) systems, and thus to reduce the consumption. This work tackles the application of machine learning methods to forecast indoor temperature in an office building, using several prediction horizons. The obtained results showed the validity of the used approximation. ©2015 CRL Publishing Ltd.

关键词： Energy efficiency

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Flexible triangular formation keeping of marine robotic vehicles using range measurements 19

Flexible triangular formation keeping of marine robotic vehi...

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19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014

作者： Rego, Francisco Soares, Jorge M. Pascoal, António Aguiar, A. Pedro Jones, Colin Laboratory of Robotics and Systems in Engineering and Science Instituto Superior Técnico University of Lisbon Lisbon Portugal Department of Electrical and Computer Engineering Faculty of Engineering University of Porto Porto Portugal Institute of Mechanical Engineering School of Engineering École Polytechnique Fédérale de Lausanne Lausanne Switzerland Distributed Intelligent Systems and Algorithms Laboratory School of Architecture Civil and Environmental Engineering École Polytechnique Fédérale de Lausanne Lausanne Switzerland National Institute of Oceanography Dona Paula Goa India

ISBN: (纸本)9783902823625

This paper addresses the problem of keeping an autonomous marine vehicle in a moving triangular formation by regulating its position with respect to two leader vehicles. The follower vehicle has no prior knowledge of the path described by the leaders but has access to their heading angle and is able to measure inter-vehicle ranges. It is assumed that the distance between the leaders is constant and known. A control strategy is adopted that generates speed and heading commands so as to drive suitably defined along track and cross track errors to zero. The commands are used as input to local inner loops for yaw and speed control. The paper describes the algorithms derived for range-based control and assesses their performance in simulations using realistic models of the vehicles involved. Tests with three autonomous marine vehicles equipped with acoustic modems and ranging devices allow for the evaluation of the performance of the algorithms in a real-world situation. © IFAC.

关键词： Vehicle performance

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Novel computational tools in biosignal processing

Scientific World Journal

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Scientific World Journal 2015年第1期2015卷 984702页

作者： Ouyang, Gaoxiang Stathaki, Tania Lam, Hak-Keung Li, Jing Ju, Zhaojie National Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing 100875 China Department of Electrical and Electronic Engineering Imperial College London London SW72AZ United Kingdom Department of Informatics King's College London London WC2R2LS United Kingdom School of Information Engineering Nanchang University Nanchang 330031 China Intelligent Systems and Biomedical Robotics Group University of Portsmouth Portsmouth PO13HE United Kingdom

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Computational Approaches for Bad Data Handling in Power System Synchrophasor Networks

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IFAC Proceedings Volumes 2014年第3期47卷 11269-11274页

作者： Ganesh K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering Clemson University Clemson SC 29634 USA Tel: +1 864-6565936

The state estimators used in real-time power system control centers now process bad data as a standard routine. With the introduction and deployment of phasor measurement units (PMUs), it is possible to model power systems, even with their time-varying nature, in real-time. However, PMUs remain vulnerable to providing bad data for several reasons. In this paper, a new intelligent framework, the cellular computational netwo rk (CCN), is introduced for the decentralized predictive modeling and dynamic state estimation (DSE) of a power system with PMU data. The CCN-based DSE is resilient to interactions between multiple segments of bad data from one or more PMUs.

关键词： Bad Data Phasor Measurement Units Power System Synchrophasor Network

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