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ROBUST ADAPTIVE CONTROL OF TRANSVERSE FLUX PERMANENT MAGNET MACHINES USING NEURAL NETWORKS

IFAC Proceedings Volumes 2005年第1期38卷 169-174页

作者： A Babazadeh H.R. Karimi N Parspour Institute of Electrical Drives Power Electronics and Devices University of Bremen Bremen Germany Control and Intelligent Processing Center of Excellence Dept. of Electrical and Computer Engineering Faculty of Engineering University of Tehran Tehran Iran DAAD Scholarship Holder at the Institute of Automation University of Bremen Germany

This paper deals with modelling and adaptive output tracking of a Transverse Flux Permanent Magnet Machine (TFPM) as a non-linear system with unknown nonlinearities by utilizing High Gain Observer (HGO) and Radial Basis Function (RBF) networks. The technique of feedback linearization and H ∞ control are used to design an adaptive control law for compensating the unknown nonlinearity parts, such the effect of cogging torque, as a disturbance is decreased onto the rotor angle and angular velocity tracking performances. Finally, the capability of the proposed method is shown in the simulation results.

关键词： High gain observer transverse flux permanent magnet machine H ∞ control RBF neural network output tracking

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Combining spatial and topological data in a spatiotemporal relational model

Combining spatial and topological data in a spatiotemporal r...

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INES'05: IEEE 9th International Conference on Intelligent engineering Systems

作者： Novák, Ágnes B. Tuza, Zsolt Faculty of Information Technology Péter Pázmány Catholic University Práter utca 50/a H-1083 Budapest Hungary Bánki Donát Faculty of Mechanical Engineering Budapest Tech Nepszinhaz utca 8 H-1081 Budapest Hungary Computer and Automation Institute Kende u. 13-17 H-1111 Budapest Hungary Dept. of Computer Sci. University of Veszprém Egyetem u. 10 H 8200 Veszprém Hungary

ISBN: (纸本)0780394747

Through the systematic investigation of the PLA spatial relational model we already gave several algorithms for discovering graph properties that are useful for applications. Here we extend the model in order to make it capable for representing not only real spatial data but also time together with topological properties. We also discuss how this modified model can be used for applications. © 2005 IEEE.

关键词： Relational database systems

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TP model transformation based stabilization of a 3-DOF RC helicopter

TP model transformation based stabilization of a 3-DOF RC he...

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5th International Conference on Control and automation, ICCA'05

作者： Baranyi, Péter Tanaka, Kazuo Korondi, Péter Computer and Automation Re Search Institute Hungarian Academy of Sciences Kende u. 13-17 H-1111 Budapest Hungary Integrated Intelligent Systems Japanese-Hungarian Laboratory Muegyetem rakpart 3 H-1111 Budapest Hungary Dept. Telecommunication and Media Informatics Budapest University of Technology and Economics Magyar tudsok kit. 2 Budapest H-1117 Hungary Department of Mechanical Engineering and Intelligent Systems University of Electro-Communications Tokyo 182-8585 Japan

ISBN: (纸本)0780391381

This paper investigates the effectiveness of a recently proposed numerical control design methodology in the stabilization control design of a 3-DOF RC helicopter. This control methodology is the combination of the TP (Tensor Product) model transformation and the PDC (Parallel Distributed Compensation) framework. First we recall the nonlinear model of the RC helicopter, then we execute the TP model transformation on the simplified model to yield its TP model (or Takagi-Sugeno fuzzy model) representation, with specific characteristics, whereupon the PDC framework can immediately be applied. Beyond the stabilization we take into account practical performance considerations in terms of good speed of response and small control effort to avoid actuator saturations. Simulation results are included to validate the control design. It will be pointed out that the resulting controller is equivalent with the one successfully applied in the real control experiment of the helicopter presented in a recent paper. © 2005 IEEE.

关键词： Control theory

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Acquisition of 3D surface temperature distribution of a car body

Acquisition of 3D surface temperature distribution of a car ...

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International Conference on Information and automation (ICIA)

作者： Yiu-Ming Harry Ng R. Du Department of Automation and Computer-Aided Engineering The Chinese University of Hong Kong Shatin N.T Hong Kong China Chinese University of Hong Kong New Territories HK Dept. of Autom. & Comput.-Aided Eng. Chinese Univ. of Hong Kong Shatin China

Thermal analysis using finite element modeling (FEM) is widely used in automotive industry nowadays. FEM can give simulation results at design stage. However, as FEM is a kind of simulations, it normally suffers from deviations with experimental results. Therefore, experimental measurement is necessary. To measure the 3D temperature distribution on a car body, we normally use a number of temperature sensors and then record the temperature values according to the positions of the sensors. It can provide the temperature values at different positions. Using this information, we can obtain the 3D temperature distribution on a car body. However, this method is time consuming and inconvenient, as we have to place a number of sensors on a car body, measure its corresponding positions as well as process the measured temperature values. In contrast, we firstly take a sequence of 2D thermal infrared images of the car body to have 2D temperature distribution and then reconstruct the 3D temperature distribution from the 2D images using computer vision method. It provides a more convenient method to acquire 3D temperature distribution compared to using a number of temperature sensors. The experimental results show the feasibility of our method.

关键词： Temperature distribution Temperature sensors Position measurement Temperature measurement Time measurement Finite element methods Automotive engineering Infrared imaging Image reconstruction computer vision

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Pushing "Underfitting" to the limit: Learning in bidimensional text categorization 16

Pushing "Underfitting" to the limit: Learning in bidimension...

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16th European Conference on Artificial Intelligence, ECAI 2004

作者： Di Nunzio, Giorgio Maria Micarelli, Alessandro Dept. of Information Engineering University of Padua Padova Italy Dept. of Computer Science and Automation University of RomaTre Rome Italy

ISBN: (纸本)9781586034528

The analysis of two heuristic supervised learning algorithms for text categorization in two dimensions is presented here. The graphical properties of the bidimensional representation allows one to tailor a geometrical heuristic approach in order to exploit the peculiar distribution of text documents. In particular, we want to investigate the theoretical linear cost of the algorithms and try to push the performance to the limit. The experiments on Reuters-21578 standard benchmark confirm that this approach is an alternative to the standard linear learning models, such as support vector machines, for text classification. Moreover, due to the fast training session, this approach may also be considered as a support for text categorization systems for fast graphical investigations of large collections of documents.

关键词： Learning algorithms

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On addressing efficiency concerns in privacy-preserving mining

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9th International Conference on Database Systems for Advanced Applications, DASFAA 2004

作者： Agrawal, Shipra Krishnan, Vijay Haritsa, Jayant R. Dept. Of Computer Science and Automation Indian Institute of Science Bangalore560012 India Dept. Of Computer Science and Engineering Indian Institute of Technology Mumbai400076 India

ISBN: (纸本)3540210474

Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. To encourage users to provide correct inputs, we recently proposed a data distortion scheme for association rule mining that simultaneously provides both privacy to the user and accuracy in the mining results. However, mining the distorted database can be orders of magnitude more time-consuming as compared to mining the original database. In this paper, we address this issue and demonstrate that by (a) generalizing the distortion process to perform symbol-specific distortion, (b) appropriately chooosing the distortion parameters, and (c) applying a variety of optimizations in the reconstruction process, runtime efficiencies that are well within an order of magnitude of undistorted mining can be achieved. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Efficiency

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Time series classification for online tamil handwritten character recognition – A kernel based approach

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11th International Conference on Neural Information Processing, ICONIP 2004

作者： Sivaramakrishnan, K.R. Bhattacharyya, Chiranjib Dept. of Electrical Engineering Indian Institute of Science Bangalore India Dept. of Computer Science and Automation Indian Institute of Science Bangalore India

ISBN: (纸本)3540239316

In this paper, we consider the problem of time series classification. Using piecewise linear interpolation various novel kernels are obtained which can be used with Support vector machines for designing classifiers capable of deciding the class of a given time series. The approach is general and is applicable in many scenarios. We apply the method to the task of Online Tamil handwritten character recognition with promising results. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Time series

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Global adaptive robust servo mechanism of lower triangular systems via nonlinear internal model 6

Global adaptive robust servo mechanism of lower triangular s...

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6th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2004

作者： Chen, Zhiyong Huang, Jie Dept. of Automation and Computer-Aided Engineering Chinese University of Hong Kong Shatin N. T. Hong Kong

The global robust servomechanistrl problem (alternatively, global robust output regulation problem) for lower triangular systems has been studied for two special cases. The first case assumes that the systems only contain polynomial nonlinearities, and the second case limits the exogenous signals and the unknown parameters to be within a known bounded set. This paper presents the solvability conditions of the global robust servomechanism problem for the lower triangular systems for the most general case where neither of the above two assumptions is needed. Copyright © 2004 IFAC.

关键词： Robust control

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2004 International Conference on Image Processing, ICIP 2004

作者： Ramanathan, Narayanan Chellappa, Rama Roy Chowdhury, Amit K. Center for Automation Research Dept. of Electrical and Computer Engineering University of Maryland College Park MD 20742 United States Dept. of Electrical Engineering University of California Riverside CA 92521 United States

ISBN: (纸本)0780385543

Illumination, pose variations, disguises, aging effects and expression variations are some of the key factors that affect the performance of face recognition systems. Face recognition systems have always been studied from a recognition perspective. Our emphasis is on deriving a measure of similarity between faces. The similarity measure provides insights into the role each of the above mentioned variations play in affecting the performance of face recognition systems. In the process of computing the similarity measure between faces, we suggest a framework to compensate for pose variations and introduce the notion of 'Half-faces' to circumvent the problem of non-uniform illumination. We used the similarity measure to retrieve similar faces from a database containing multiple images of individuals. Moreover, we devised experiments to study the effect age plays in affecting facial similarity. In conclusion, the similarity measure helps in studying the significance facial features play in affecting the performance of face recognition systems. ©2004 IEEE.

关键词： Face recognition

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Supporting exploratory queries in databases

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9th International Conference on Database Systems for Advanced Applications, DASFAA 2004

作者： Kadlag, Abhijit Wanjari, Amol V. Freire, Juliana Haritsa, Jayant R. Dept. Of Computer Science and Automation Indian Institute of Science Bangalore560012 India Computer Science and Engineering OGI/OHSU Beaverton Oregon97006 United States

ISBN: (纸本)3540210474

Users of database applications, especially in the e-commerce domain, often resort to exploratory "trial-and-error" queries since the underlying data space is huge and unfamiliar, and there are several alternatives for search attributes in this space. For example, scouting for cheap airfares typically involves posing multiple queries, varying flight times, dates, and airport locations. Exploratory queries are problematic from the perspective of both the user and the server. For the database server, it results in a drastic reduction in effective throughput since much of the processing is duplicated in each successive query. For the client, it results in a marked increase in response times, especially when accessing the service through wireless channels. In this paper, we investigate the design of automated techniques to minimize the need for repetitive exploratory queries. Specifically, we present SAUNA, a serverside query relaxation algorithm that, given the user’s initial range query and a desired cardinality for the answer set, produces a relaxed query that is expected to contain the required number of *** algorithm incorporates a range-queryspecific distance metric that is weighted to produce relaxed queries of a desired shape (e.g., aspect ratio preserving), and utilizes multi-dimensional histograms for query size *** performance evaluation of SAUNAover a variety of multi-dimensional data sets indicates that its relaxed queries can significantly reduce the costs associated with exploratory query processing. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Query processing

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