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IEEE Symposium on Computational Intelligence Applications In Smart Grid (CIASG)

作者： Jiaqi Liang Ronald G. Harley Ganesh K. Venayagamoorthy School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory Missouri University of Science and Technology Rolla MO USA

An adaptive critic design (ACD) based dynamic optimal power flow control (DOPFC) is proposed in this paper as a solution to the smart grid operation in a high short-term uncertainty and variability environment. With the increasing penetration of intermittent renewable generation, power system stability and security need to be ensured dynamically as the system operating condition continuously changes. The proposed DOPFC dynamically tracks the power system optimal operating point by continuously adjusting the steady-state set points from the traditional OPF algorithms. The ACD technique, specifically the dual heuristic dynamic programming (DHP), is used to provide nonlinear optimal control, where the control objective is formulated explicitly to incorporate system operation economy, stability and security considerations. A 12 bus test power system is used to demonstrate the development and effectiveness of the proposed ACD-based DOPFC using recurrent neural networks.

关键词： Power system dynamics Recurrent neural networks Generators Power system stability Automatic generation control Training

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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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Estimating the minimum number of robots to finish given multi-objects task

Estimating the minimum number of robots to finish given mult...

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IEEE Conference on Cybernetics and intelligent systems

作者： Ji Guo Bo Gao Rongxin Cui Shuzhi Sam Ge College of Marine Engineering Northwestern Polytechnical University Xian China College of Physics and Electrical Engineering Anyang Normal University China Robotics Institute and Institute of Intelligent Systems and Information Technology and School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

In this paper, we propose a method that could solve the problem of estimating the minimum number of robots to finish the given multi-objects task. The criterion of estimating the robots includes the time consumption of motion on the trajectory and the work on the multi-objects. Our proposed method builds the roadmap to compute the cost of motion between objects and then builds the network with the motion and work cost. To satisfy the specified efficiency, the optimization algorithm of network is used to compute the minimum number of robots which can finish the task. An implementation example is presented and possible further research directions are presented as well.

关键词： Robot kinematics Conferences Trajectory Bipartite graph Educational institutions Routing

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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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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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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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Decentralized Task Sequencing and Multiple Mission Control for Heterogeneous Robotic Networks

Decentralized Task Sequencing and Multiple Mission Control f...

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2011 IEEE International Conference on robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

作者： Donato Di Paola Andrea Gasparri Giovanni Ulivi David Naso Frank L. Lewis Institute of Intelligent Systems for Automation (ISSIA) National Research Council (CNR)70126 BariI Faculty of Engineering Computer Science and Automation DepartmentUniversity "Roma Tre"00146 RomeI Department of Electrical and Electronic Engineering (DEE) Polytechnic of Bari70126 BariItaly the Automation and Robotics Research Institute University of Texas at ArlingtonFort WorthTX 76118-

In this paper a novel decentralized approach for task sequencing within a multiple missions control framework is presented. The main contribution of this work concerns the decentralization of a control framework for multiple mission execution in order to enhance the robustness of the system, and the application of the latter to a heterogeneous robotic network. The proposed approach is based on the Matrixbased Discrete Event Framework (MDEF). This formalism is adapted to networks of heterogeneous robots, i.e., robots with different capabilities, and to the decentralized control of mission execution using a consensus-based approach which guarantees the agreement among robots on executed actions and their consequences.

关键词： Mathematical model Equations Resource management Robot sensing systems Availability Multiagent systems

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Electrocardiogram beat classification using classifier fusion based on Decision Templates

Electrocardiogram beat classification using classifier fusio...

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IEEE International Conference on Cybernetic intelligent systems, CIS

作者： Atena Sajedin Reza Ebrahimpour Tahmoures Younesi Garousi Islamic Azad University Tehran Iran School of Cognitive Sciences(SCS) Institute for Research in Fundamental Sciences Tehran Iran Brain & Intelligent Systems Research Laboratory Department of Electrical and Computer Engineering Shahid Rajaee University Tehran Iran Tolid va maskane khayam Tehran Iran

This paper presents a ”Decision Templates” (DTs) approach to develop customized Electrocardiogram (ECG) beat classifier in an effort to further improve the performance of ECG classification. Taking advantage of the Un-decimated Wavelet Transform (UWT), which also serves as a tool for noise reduction, we extracted 10 ECG morphological, as well as one timing interval features. For classification we have used a number of diverse MLPs neural networks as the base classifiers that are trained by Back Propagation algorithm. Then we employed and compared different combination methods. Tested with MIT/BIH arrhythmia database, we observe significant performance enhancement using this approach.

关键词： Electrocardiography Feature extraction Classification algorithms Databases Training Timing intelligent systems

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