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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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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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Distributed Output Regulation of Uncertain and Switching Multi-Agent systems via Internal Model Design

Distributed Output Regulation of Uncertain and Switching Mul...

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2011 China control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Xiaoli Wang Yiguang Hong Zhong-Ping Jiang School of Information Science and Engineering Harbin Institute of Technology atWeihaiWeihai 264209 Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy o Department of Electrical and Computer Engineering Polytechnic Institute of New York University Six

In this paper, the distributed robust output regulation problem of linear multi-agent systems (MAS) is considered. The driving force from the active leaders or the environmental disturbances is formulated as an input of an exogenous system (or exosystem) of the considered multi-agent networks. A systematic distributed design approach is proposed to handle output regulation via dynamic output feedback with the help of canonical internal model (IM). With common solutions of regulator equations and Lyapunov functions, the distributed robust output regulation with switching interconnection topology is designed to achieve collective aims.

关键词： Output regulation Multi-agent systems Internal Model Switching Topology

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Guest Editorial

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IEEE Transactions on Industrial Electronics 2011年第4期58卷 1074-1080页

作者： Marco Liserre Josep Balcells Thomas Basso Jan T. Bialasiewicz Carlo Cecati Sudipta Chakraborty Josep M. Guerrero Mehrdad Kazerani Friederich Kupzog Adel Nasiri Peter Palensky José Rodriguez Pedro Rodríguez Thilo Sauter Remus Teodorescu Polytechnic University of Bari Bari Italy Universitat Politéchnica de Catalunya Barcelona Spain National Renewable Energy Laboratory (NREL) Golden CO USA Electrical Engineering Department University of Colorado Denver CO USA Department of Electrical and Information Engineering University of L'Aquila L'Aquila Italy National Renewwable Energy Laboratory (NREL) Golden CO USA Department of Automatic Control Systems and Computer Engineering Technical University of Catalonia Barcelona Spain Department of Electrical and Computer Engineering University of Waterloo Waterloo ON Canada Institue of Computer Technology Vienna Technical University Vienna Austria Department of Electrical Engineering and Computer Science University of Wisconsin Milwaukee WI USA Sustainable Building Technologies Austrian Institue of Technology (AIT) Vienna Austria Department of Electronics Engineering Universidad Técnica Federico Santa María Valparaiso Chile Research Group on Renewable Electrical Energy Systems Department of Electrical Engineering Universitat Politécnica de Catalunya (UPC) Barcelona Spain Austrian Academy of Sciences Institute of Integraded Sensor Systems Wiener Neustadt Austria

The 20 papers in this second part of this special section are classified by energy sources (wind, photovoltaic, hydro, etc.), grid-related issues (islanding, synchronization, microgrid, and smart grid), and converters... 详细信息

关键词： Special issues and sections Smart grids Renewable energy resources Photovoltaic systems Power conversion Wind energy Hydroelectric power generation Power grids

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Sensorless direct torque control of five-phase induction motor drives

Sensorless direct torque control of five-phase induction mot...

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Annual Conference of Industrial Electronics Society

作者： B. S. Khaldi H. Abu-Rub A. Iqbal R. Kennel M. O. Mahmoudi D. Boukhetala Department of Electrical Engineering Faculty of Science and Engineering Djelfa University Algeria Laboratory of Process Control National Polytechnic School Algiers Algeria Institute for Electrical Drive Systems and Power Electronics Technische Universität München Munich Germany Department of Electrical & Computer Engineering Texas A&M University at Qatar Doha Qatar Department of Electrical Engineering College of Engineering Qatar University Qatar Department of Electrical Engineering Aligarh Muslim University Aligarh India

This paper presents a simple and novel sensorless scheme for five-phase induction motor control. The power measurement is used for speed computation. The drive is controlled using direct torque control (DTC). Speed sensorless control scheme is tested under speed variation and load changes. The control method is simulated and implemented in real time on the DS1103 board.

关键词： Vectors Stators Torque Rotors Induction motors Torque control Electromagnetics

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Adaptive and Repetitive controller for Robotic Manipulators with Slowly Updating Scheme Using B-Spline Shape Function

Adaptive and Repetitive Controller for Robotic Manipulators ...

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IEEE International Conference on robotics and Biomimetics

作者： Pannatee Rakprayoon Peerayot Sanposh Nattapon Chayopitak Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University Industrial Control and Automation Laboratory National Electronics and Computer Technology Center

ISBN: (纸本)9781457721366

This paper studies the real-time adaptive and repetitive control problem using the Desired Compensation Learning Law (DCLL) that has the advantage of robustness under the presence of unknown parameters with low memory requirement. The control structure of DCLL consists of a feedforward compensator that is designed by a linear combination of shape functions that is adaptable to parameter variations;hence the selection of appropriate shape functions plays an important role in the adaptive ability and accuracy of DCLL. In this study, the B-spline shape function is proposed to be used under the slowly updating scheme and the obtained results show that the robustness and accuracy of the tracking can be greatly improved even under payload variation and torque limits.

关键词： shape functions Repetitive controllers Self tuning splines (mathematics) Scheme Robot Manipulator adaptive capacity memory requirements control Architecture Manipulators Unknown parameter Linear Combination

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A Complementary Modularized Ramp Metering Approach Based on Iterative Learning control and ALINEA

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IEEE Transactions on Intelligent Transportation systems 2011年第4期12卷 1305-1318页

作者： Zhongsheng Hou Xin Xu Jingwen Yan Jian-Xin Xu Gang Xiong Advanced Control Systems Laboratory School of Electronic and Information Engineering Beijing Jiaotong University BJTU Beijing China Institute of Automation College of Mechatronics and Automation National University of Defense Technology Changsha China Department of Electrical and Computer Engineering National University of Singapore Singapore Automation Institute Chinese Academy of Sciences (CAS) Beijing China

Ramp metering is an effective tool for traffic management on freeway networks. In this paper, we apply iterative learning control (ILC) to address ramp metering in a macroscopic-level freeway environment. By formulating the original ramp metering problem as an output regulating and disturbance rejection problem, ILC has been applied to control the traffic response. The learning mechanism is further combined with Asservissement Linéaire d'Entrée Autoroutière (ALINEA) in a complementary manner to achieve the desired control performance. The ILC-based ramp metering strategy and the modified modularized ramp metering approach based on ILC and ALINEA in the presence of input constraints are also analyzed to highlight the advantages and the robustness of the proposed methods. Extensive simulations are given to verify the effectiveness of the proposed approaches.

关键词： Traffic control Mathematical model Convergence Learning systems Feedforward neural networks

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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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Low power and fast DCT architecture using multiplier-less method

Low power and fast DCT architecture using multiplier-less me...

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Faible Tension Faible Consommation (FTFC)

作者： M. El Aakif S. Belkouch N. Chabini M. M. Hassani Embedded Systems and Digital Control Laboratory National School of Applied Sciences University of Cadi Ayyad Marrakech Morocco Department of Electrical and Computer Engineering Royal Military College of Canada Kingston ONT Canada Faculty of Sciences Semlalia University of Cadi Ayyad Marrakech Morocco

In this paper, a low power and fast DCT (Discrete Cosine Transform) using multiplier-less method is presented with a new modified FGA (Flow-Graph Algorithm), which is derived from our previously presented FGA of DCT based on Loeffler algorithm. The multiplier-less method is based on the replacement of multiplications with a minimum number of additions and shifts. The proposed FGA is performed and compared to a previous one. The results of FPGA implementations on Altera Cyclone II show the increase of the maximum frequency, the decrease of the resources usage and the reduction of the dynamic power by 7.2 % at 120 MHz of clock frequency with a new proposed FGA algorithm. Another comparison with recent published results has been done and proves the efficiency of the proposed FGA.

关键词： Discrete cosine transforms Hardware computer architecture Power demand Field programmable gate arrays Algorithm design and analysis Equations

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