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IEEE Power and Energy Society General Meeting

作者： Wei Qiao Jiaqi Liang Ganesh K. Venayagamoorthy Ronald Harley Department of Electrical Engineering University of Nebraska-Lincoln School of Electrical and Computer Engineering Georgia Institute of Technology Real-Time Power and Intelligent Systems Laboratory Missouri University of Science and Technology

ISBN: (纸本)9781457710001

This paper summarizes past and ongoing research in the area of the application of computational intelligence (CI) for control of wind turbine generators (WTGs). Several intelligent design approaches and control strategies, including optimal design of WTG controllers using particle swarm optimization (PSO) and mean-variance optimization (MVO) algorithms and adaptive critic design-based coordinated optimal adaptive control for wind plants and shunt FACTS devices, are presented for dynamic performance and fault ride-through enhancement of WTGs and the associated power grid. The effectiveness of these intelligent design approaches and control strategies are demonstrated by nonreal- and real-time simulations in PSCAD/EMTDC and RSCAD/RTDS, respectively.

关键词： Computational intelligence (CI) Doubly fed induction generator (DFIG) Dual heuristic programming (DHP) FACTS device Heuristic dynamic programming (HDP) Particle swarm optimization (PSO) Radial basis function neural network (RBFNN) Wind turbine Wind Generators Artificial Intelligence Computational intelligence Wind Energy Conversion systems Standing Orders intelligent Design design approach dynamic characteristics shunt Optimal design

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Reports of the AAAI 2010 fall symposia

Reports of the AAAI 2010 fall symposia

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作者： Azevedo, Roger Biswas, Gautam Bohus, Dan Carmichael, Ted Finlayson, Mark A. Hadzikadic, Mirsad Havasi, Catherine Horvitz, Eric Kanda, Takayuki Koyejo, Oluwasanmi Lawless, William F. Lenat, Doug Meneguzzi, Felipe Mutlu, Bilge Oh, Jean Pirrone, Roberto Raux, Antoine Sofge, Donald A. Sukthankar, Gita Van Durme, Benjamin Yorke-Smith, Neil Department of Educational and Counseling Psychology McGill University Canada Center for Intelligent Systems Vanderbilt University United States Microsoft Research Redmond United States Department of Software and Information Systems University of North Carolina Charlotte United States Complex Systems Institute United States Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology United States Media Lab. Massachusetts Institute of Technology United States ATR Intelligent Robotics and Communication Laboratories Kyoto Japan Department of Electrical and Computer Engineering University of Texas Austin United States Department of Mathematics Paine College Augusta GA United States Cycorp Austin TX United States Robotics Institute Carnegie Mellon University United States Department of Computer Sciences University of Wisconsin Madison United States University of Palermo Italy Honda Research Institute United States Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington DC United States Department of Electrical Engineering and Computer Science University of Central Florida United States Department of Computer Science Johns Hopkins University United States American University of Beirut Lebanon SRI International's Artificial Intelligence Center United States

The Association for the Advancement of Artificial Intelligence (AAAI) presented the 2010 Fall Symposium Series on November 11-13, 2010. The eight symposia included Cognitive and Metacognitive Educational systems, Commonsense Knowledge, Complex Adaptive systems: Resilience, Robustness, and Evolvability, Computational Models of Narrative, Dialog with Robots, Manifold Learning and Its Applications, Proactive Assistant Agents and Quantum Informatics for Cognitive, Social, and Semantic Processes. Cognitive and Metacognitive Educational systems aimed to provide a comprehensive definition of metacognitive educational systems that is inclusive of the theoretical, architectural, and educational aspects of this field. The AAAI Commonsense Knowledge Fall Symposium had the goal of bringing together the diverse elements of this community whose work benefits from or contributes to the representation of general knowledge about the world. One of the specific goals of Proactive symposium was to gather the researchers from various projects in assistant agents to share their wisdom in retrospect.

关键词： Semantics

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System design and implementation of social interactive robot Nancy

System design and implementation of social interactive robot...

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International Conference on Information Sciences and Interaction Sciences (ICIS)

作者： Shuzhi Sam Ge Chun Fui Liew Yanan Li Institute of Intelligent Systems University of Electronic Science and Technology Chengdu China Social Robotics Laboratory Interactive Digital Media Institute and Department of Electrical and Computer Engineering National University of Singapore Singapore Social Robotics Laboratory Interactive Digital Media Institute and NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore

This paper presents a social interactive robot Nancy that has been developed in Social robotics laboratory, National University of Singapore. Fundamentally different from factory robots, Nancy's design focuses on social interaction and social intelligent system. The design objectives and consideration are examined in the beginning, followed by the description of hardware and software architectures. Contrast to current existing social robots, Nancy has a graphical user interface (GUI), which acts as an additional channel for human-robot interaction. This GUI helps users to have a better understanding of Nancy's internal states and hence make users feel more comfortable during the interaction with Nancy. Visitors' interaction experience with Nancy is discussed together with Nancy's social skills.

关键词： Robots Graphical user interfaces Servomotors Speech Universal Serial Bus Face Hardware

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Cooperative navigation for heterogeneous autonomous vehicles via approximate dynamic programming

Cooperative navigation for heterogeneous autonomous vehicles...

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IEEE Conference on Decision and Control

作者： Silvia Ferrari Michael Anderson Rafael Fierro Wenjie Lu Laboratory for Intelligent Systems and Controls Department of Mechanical Engineering & Materials Science Duke University Durham NC USA MARHES Laboratory Electrical & Computer Engineering Department University of New Mexico Albuquerque NM USA

ISBN: (纸本)9781612848006;9781612848013

Unmanned ground and aerial vehicles are becoming crucial to many applications because of their ability to assist humans in carrying out dangerous missions. These vehicles can be viewed as networks of heterogeneous unmanned robotic sensors with the goal of exploring complex environments, to search for and, possibly, pursue moving targets. The robotic vehicle performance can be greatly enhanced by implementing future sensor actions intelligently, based both on prior knowledge and on the information obtained by the sensors on line. In this paper, we present an approximate dynamic programming (ADP) approach to cooperative navigation for heterogeneous sensor networks. The mobile sensor network consists of a set of robotic sensors modeled as hybrid systems with processing capabilities. The goal of the ADP algorithm is to coordinate a team of heterogeneous autonomous vehicles (i.e., ground robot and quadrotor UAV) to navigate within an obstacle populated environment while satisfying collision avoidance constraints and searching for stationary and mobile targets. It is assumed that the ground vehicle has a small sensor footprint with high resolution. The quadrotor, on the other hand, has a large sensor field-of-view but low resolution. The UAV provides a low resolution look-ahead map to the ground robot which in turn uses this information to plan its actions. The proposed navigation strategy combines artificial potential functions for target pursuing with ADP for learning C-obstacles on line. The efficacy of the proposed methodology is verified through numerical simulations.

关键词： Robot sensing systems Geometry Vehicles Robot kinematics Collision avoidance

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VHR image segmentation using over segmented regions in a MRF model

VHR image segmentation using over segmented regions in a MRF...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Örsan Aytekin Yousef Rezaeitabar İlkay Ulusoy Computer Vision and Intelligent Systems Research Laboratory Department of Electrical and Electronics Engineering METU Ankara Turkey Orta Dogu Teknik Universitesi Ankara Ankara TR

This paper presents a segmentation method that exploits object based region merging to delineate the context of the image under investigation. There are two main steps. Initially, primitive objects are obtained by morphological operations that generate spectrally homogenous primitives. We assume that primitives are components of semantic objects that are of interest. Next, these primitives therefore are modeled and merged based on expectation maximization. We presented the results of the experiments applied to QuickBird images of rural and urban areas taken from the city of Ankara, Turkey. Experimental results demonstrate the capabilities of these methods along with their limitations.

关键词： Image segmentation Morphology Clustering algorithms Urban areas Remote sensing Image reconstruction Cities and towns

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Proposal of educational environments with mobile robots

Proposal of educational environments with mobile robots

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IEEE Conference on robotics, Automation and Mechatronics

作者： Silas F. R. Alves Humberto Ferasoli Filho René Pegoraro Marco A. C. Caldeira João M. Rosário Wilson M. Yonezawa Laboratory of Integrated Automation and Robotics Mechanical Project Department Faculty of Mechanical Engineering State University of Campinas Campinas Sao Paulo Brazil Laboratory of Integration of Intelligent Systems and Devices Computer Department Sciences Faculty University of São Paulo State Bauru Brazil

This paper describes an initiative which uses low-cost mobile robots to create robotics courses and learning environment to support the teaching of computing and many other related disciplines. The pursued principle is that lower cost alternatives that can meet the educational needs, since it is accompanied by an environment with friendly software interface. In this sense, the hardware interface was developed to allow the computer to process data from the sensors and actuators of the mobile robot. This architecture is adequate because of the acceptance of students in their use, since the environment is unrolled within a familiar platform to them.

关键词： Robot sensing systems computer architecture computers Mobile robots Educational robots

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Introduction

Communications and Control Engineering

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Communications and Control engineering 2011年第9780857292551期 1-15页

作者： Sun, Zhendong Ge, Shuzhi Sam College Automation Science & Engineering Center for Control and Optimization South China University of Technology Guangzhou510640 China Department of Electrical and Computer Engineering The National University of Singapore Singapore Singapore Robotics Institue and Institute of Intelligent Systems and Information Technology University of Electronic Science and Technology of China Chengdu China

Chapter 1 briefly introduces the problem formations and the organization of the book. In particular, given a feasible set of switching signals, the concepts of stability and stabilizability are introduced, and the related problems of stability and stabilization are briefly formulated and discussed. Examples and simulations are provided to exhibit the primary features of the problems with various switching mechanisms. © 2011, Springer-Verlag London Limited.

关键词： Stabilization

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Analysis of a Partially Decentralized Framework for Operating Future Power systems

Analysis of a Partially Decentralized Framework for Operatin...

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IEEE Power and Energy Society General Meeting

作者： Mingyang Li Peter B. Luh Eugene Litvinov Peng Zhang Center for Intelligent and Networked Systems (CFINS) Department of Automation Tsinghua National Laboratory for Information Science & Technology (TNLIST) Tsinghua University Dept. of Electrical & Computer Engineering University of Connecticut ISO New England Inc.

ISBN: (纸本)9781457710001

In future power systems, the Smart Grid technologies will bring in a large number of new entities, which are different from those in the current systems in two major aspects: first, the entities are geographically distributed throughout the system with their detailed information not available to the system operator, and second, the entities tend to autonomously optimize their own benefits. In view of both aspects, it is difficult to use the current centralized framework to operate future systems. In this paper, we present and analyze a new partially decentralized framework and the corresponding mechanisms as one step from the current framework toward the future ones, and the focus is on the real time electricity markets with a dispatch cycle of five minutes. In each dispatch cycle, the system operator posts electricity price forecasts, and individual entities actively respond to the prices to dispatch themselves. The system-wide power imbalance is used as a correction term in the next dispatch cycle to iteratively update the price forecasts, so that system balance is maintained in the long term. The new framework can accommodate the large number of entities without knowing their detailed information, and enable the entities to achieve better economic benefits. Small examples are used to analyze our framework and to compare it with the current one.

关键词： System operation Autonomous entities Renewable generation Decentralized Real time market Electricity price Decentralized Operating systems Dispatching Electricity pricing Frameworks power systems correct entry Smart grids Prices

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Looking around with your brain in a virtual world

Looking around with your brain in a virtual world

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IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain

作者： Bos, Danny Plass-Oude Duvinage, Matthieu Oktay, Oytun Saa, Jaime Delgado Guruler, Huseyin Istanbullu, Ayhan Van Vliet, Marijn Van De Laar, Bram Poel, Mannes Roijendijk, Linsey Tonin, Luca Bahramisharif, Ali Reuderink, Boris HMI Group Faculty of EEMCS University of Twente Netherlands TCTS Lab Electrical Engineering University Mons Belgium Electronics and Communications Corlu Engineering Namik Kemal University Turkey Faculty of Engineering and Natural Sciences VPA Lab Sabanci University Turkey IEE Group of Robotics and Intelligent Systems Universidad del Norte Colombia Department of Electronics and Computer Education Faculty of Technical Education Mugla University Turkey Faculty of Computer Engineering Balikesir University Turkey Radboud University Nijmegen Donders Institute for Brain Cognition and Behaviour Nijmegen Netherlands CNBI École Polytechnique Fédérale de Lausanne Switzerland Radboud University Nijmegen Institute for Computing and Information Sciences Nijmegen Netherlands

ISBN: (纸本)9781424498918

Offline analysis pipelines have been developed and evaluated for the detection of covert attention from electroen-cephalography recordings, and the detection of overt attention in terms of eye movement based on electrooculographic measurements. Some additional analysis were done in order to prepare the pipelines for use in a real-time system. This real-time system and a game application in which these pipelines are to be used were implemented. The game is set in a virtual environment where player is a wildlife photographer on an uninhabited island. Overt attention is used to adjust the angle of the first person camera, when the player is tracking animals. When making a photograph, the animal will flee when it notices it is looked at directly, so covert attention is required to get a good shot. Future work will entail user tests with this system to evaluate usability, user experience, and characteristics of the signals related to overt and covert attention when used in such an immersive environment. © 2011 IEEE.

关键词： Virtual reality

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AASVMES: An intelligent expert system for realization of Adaptive Autonomy using Support Vector Machine

AASVMES: An intelligent expert system for realization of Ada...

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International Conference on Control, Instrumentation, and Automation

作者： N. Hassanpour M. A. Zamani A. Fereidunian H. Lesani Systems and Machines Research Laboratory (SMRL) Control and Intelligent Processing Center of Excellence (CIPCE) School of ECE University of Tehran Tehran Iran Electrical and Computer Engineering Department K. N. Toosi University of Technology Tehran Iran

We earlier introduced a novel framework for realization of Adaptive Autonomy (AA) in human-automation interaction (HAI). This study presents an expert system for realization of AA, using Support Vector Machine (SVM), referred to as Adaptive Autonomy Support Vector Machine Expert System (AASVMES). The proposed system prescribes proper Levels of Automation (LOAs) for various environmental conditions, here modeled as Performance Shaping Factors (PSFs), based on the extracted rules from the experts' judgments. SVM is used as an expert system inference engine. The practical list of PSFs and the judgments of GTEDC's (the Greater Tehran Electric Distribution Company) experts are used as expert system database. The results of implemented AASVMES in response to GTEDC's network are evaluated against the GTEDC experts' judgment. Evaluations show that AASVMES has the ability to predict the proper LOA for GTEDC's Utility Management Automation (UMA) system, which changes in relevance to the changes in PSFs; thus providing an adaptive LOA scheme for UMA.

关键词： Support vector machines Training Expert systems Complexity theory Automation Adaptive systems Humans

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