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Object Categorization Based on Biologically Inspired Features using a Hierarchical Categorization System *

IFAC Proceedings Volumes 2009年第16期42卷 251-256页

作者： A. Csapo B. Resko G. Sziebig H. Hashimoto P. Baranyi Budapest Univ. of Technology and Economics Dept. of Telecommunications and Media Informatics Budapest Hungary Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary Budapest Univ. of Technology and Economics Dept. of Mechatronics Optics and Applied Informatics Budapest Hungary Univ. of Tokyo Institute of Industrial Science Tokyo Japan

Abstract The computerized modeling of cognitive visual information has been a research field of great interest in the past several decades. The research field is interesting not only from a biological perspective, but also from an engineering point of view when systems are developed that aim to achieve similar goals as biological cognitive systems. This paper briefly describes a general framework for the extraction and systematic storage of low-level visual features, and demonstrates its applicability in image categorization using a linear categorization algorithm originally developed for the characterization of text documents. The performance of the algorithm together with the newly developed feature array was evaluated using the Caltech 101 database. Extremely high (95% and higher) success rates were achieved when distinguishing between pairs of categories using independent test images. Efforts were made to scale up the number of categories using a hierarchical, branch-and-bound decision tree, with limited success.

关键词： Cognitive computational models visual features image categorization

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An Iterative GPC-like nonlinear predictive control algorithm for the parametric Volterra model

An Iterative GPC-like nonlinear predictive control algorithm...

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European Control Conference (ECC)

作者： Robert Haber Ruth Bars Fakhredin Arousi Institute of Chemical Process Engineering and Plant Design University of Applied Science Cologne Germany Dept. of Automation and Applied Informatics Budapest University of Technology and Economics (BME) Hungary

Predictive control recently has gained wide acceptance in the process industry. In practice mostly linear algorithms are applied. Control algorithms considering the nonlinearities of the processes would provide better control performance than the linear algorithms. A new iterative nonlinear predictive control algorithm is presented here based on the quadratic parametric Volterra model. The algorithm uses a GPC-like structure. The control performance is demonstrated by a simulation case study of level control of a two-tank system. The behavior of the new algorithm is compared with other suboptimal nonlinear algorithms.

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Evolutionary optimization methods for predictive on-off control

Evolutionary optimization methods for predictive on-off cont...

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作者： Schmitz, ulrich Haber, Robert Bars, Ruth Shell Deutschland Oil Rhineland Refinery Department for Technology and Services Ludwigshafener Strasse l D-50389 Wesseling Germany University of Applied Science Cologne Institute of Process Engineering and Plant Design Betzdorfer Str. 2 D-50679 Cologne Germany Budapest Univ. of Technology and Economics Dept. of Automation and Applied Informatics MTA-BME Control Research Group Goldmann Gy.ter 3 H-1111 Budapest Hungary

ISBN: (纸本)9783902661661

On-off control is still widely used in the industry, especially for discontinuous actuators, e.g. compressors, steam turbines or furnace burners. Exact set-point control is not possible by an on-off controller. Lower and upper limits are defined for the control signal which should not be violated. For this predictive gap control quadratic and horizon dependent cost functions are defined. Traditional numerical optimization fails with longer prediction horizons, but a genetic algorithm can be effectively applied even for long horizons.

关键词： Actuators

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Evolutionary optimization methods for predictive on-off control

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IFAC Proceedings Volumes 2009年第19期42卷 408-413页

作者： ulrich Schmitz Robert Haber Ruth Bars Shell Deutschland Oil Rhineland Refinery Department for Technology and Services Ludwigshafener Strasse l D-50389 Wesseling Germany University of Applied Science Cologne Institute of Process Engineering and Plant Design Betzdorfer Str. 2 D-50679 Cologne Germany Budapest Univ. of Technology and Economics Dept. of Automation and Applied Informatics MTA-BME Control Research Group Goldmann Gy.ter 3 H-1111 Budapest Hungary

Abstract On-off control is still widely used in the industry, especially for discontinuous actuators, e.g. compressors, steam turbines or furnace burners. Exact set-point control is not possible by an on-off controller. Lower and upper limits are defined for the control signal which should not be violated. For this predictive gap control quadratic and horizon dependent cost functions are defined. Traditional numerical optimization fails with longer prediction horizons, but a genetic algorithm can be effectively applied even for long horizons.

关键词： predictive control on-off control discontinuous actuators genetic algorithms

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Metric reconstruction with missing data under weak perspective

Metric reconstruction with missing data under weak perspecti...

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2008 19th British Machine Vision Conference, BMVC 2008

作者： Pernek, Ákos Hajder, Levente Kazó, Csaba Budapest University of Technology and Economics Department of Automation and Applied Informatics Goldmann György tér 3 1111-Budapest Hungary MTA SZTAKI Kende u. 13-17 1111-Budapest Hungary

ISBN: (纸本)9781901725360

3D reconstruction with missing data has been a challenging computer vision task since the late 90s. This paper proposes a novel metric reconstruction algorithm dealing with the missing data problem. The algorithm is the adaption of the Fast Alternation method published by us in CAIP2007. We concentrate on metric instead of affine reconstruction because the quality of metric reconstruction is significantly better as it is demonstrated in this study. The solution is an alternation which consists of several substeps. All of these substeps are optimal with respect to the parameters that are being optimized. It is proved that the proposed algorithm converges to a local minimum. The solutions to the optimization subproblems in our approach are given by closed-form formulas, therefore the proposed method is relatively fast.

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Virtual power electronics: Novel software tools for design modeling and education

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IEEJ Transactions on Industry Applications 2008年第8期128卷 969-978页

作者： Hamar, Janos Nagy, István Funato, Hirohito Ogasawara, Satoshi Dranga, Octavian Nishida, Yasuyuki Dept. of Automation and Applied Informatics Budapest University of Technology and Economics Goldmann Gyorgy ter 3 1111 Budapest Hungary Power Electronics Laboratory Dept. of Electrical and Electronic Engineering Utsunomiya University 7-1-2 Yoto Utsunomiya 321-8585 Japan Division of System Science and Infomatics Graduate School of Information Science and Technology Hokkaido University Kita 14 Nishi 9 Kita-ku Sapporo 060-0814 Japan School of Engineering James Cook University Townsville QLD 4811 Australia Dept. of Electrical and Electronic Eng. College of Engineering Nihon University Tokusada Tamura-machi Kouriyama 963-8642 Japan

The current paper is dedicated to present browser-based multimedia-rich software tools and e-learning curriculum to support the design and modeling process of power electronics circuits and to explain sometimes rather sophisticated phenomena. Two projects will be discussed. The so-called Inetele project is financed by the Leonardo da Vinci program of the European union (Eu). It is a collaborative project between numerous Eu universities and institutes to develop state-of-the art curriculum in Electrical Engineering. Another cooperative project with participation of Japanese, European and Australian institutes focuses especially on developing e-learning curriculum, interactive design and modeling tools, furthermore on development of a virtual laboratory. Snapshots from these two projects will be presented. © 2008 The Institute of Electrical Engineers of Japan.

关键词： E-learning

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Robust Predictive PI Controller Based on First-Order Dead Time Model

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IFAC Proceedings Volumes 2008年第2期41卷 5808-5813页

作者： F. Arousi u. Schmitz R. Bars R. Haber Dept. of Automation and Applied Informatics Budapest University of Technology and Economics MTA-BME Control Research group Dept. of Advanced Process Control Shell Rheinland Refinery Köln/Wesseling Germany Inst. of Chemical Process Engineering and Plant Design University of Applied Science Cologne Germany

Predictive control algorithms compute the manipulated variable minimizing a cost function considering expected future errors. PI control algorithms can be equipped with predictive properties. Simple predictive control algorithms are derived using approximation of an aperiodic process by a first-order model with dead time. Applying a noise model the robustness properties of the algorithm are enhanced considering plant-model mismatch. The noise filter is considered as a design parameter. Simulation examples demonstrate the behavior of the predictive PI algorithm and the robustifying effect of the noise filter.

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Trends in Theory of Control System Design Status report prepared by the IFAC Coordinating Committee on Design Methods

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IFAC Proceedings Volumes 2008年第2期41卷 2144-2155页

作者： Ruth Bars Patrizio Colaneri Luc Dugard Frank Allgöwer Anatolii Kleimenov Carsten Scherer Budapest University of Technology and Economics Dept. of Automation and Applied Informatics Hungary Politecnico di Milano Dipartimento di Elettronica e Informazione Italy GIPSA-lab CNRS INP Grenoble France Institute of Systems Theory University of Stuttgart Germany Ural Branch of Russian Academy of Sciences Ekaterinburg Russia Delft Center for Systems and Control Delft University of Technology The Netherlands

Control theory deals with disciplines and methods leading to an automatic decision process in order to improve the performance of a control system. The evolution of control engineering is closely related to the evolution of the technology of sensors and actuators, and to the theoretical controller design methods and numerical techniques to be applied in real time computing. New control disciplines, new development in the technologies will fertilize quite new control application fields. Based on the contributions of the Technical Committees within CC2 the status report gives an overview of the current key problems in control theory and design, evaluates the recent major accomplishments and forecasts some new areas. It points out some control fields, which could be challenges for future research.

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Delta Domain Design of Low-Cost Fuzzy Controlled Servosystems

Delta Domain Design of Low-Cost Fuzzy Controlled Servosystem...

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IEEE International Symposium on Intelligent Signal Processing

作者： Radu-Emil Precup Zsuzsa Preitl Emil M. Petriu Dept.of Automation and Applied Informatics “Politehnica” University of Timisoara Timisoara Romania Dept. of Control and Transport Automation Budapest University of Technology and Economics Budapest Hungary School of Information Technology and Engineering University of Ottawa Ottawa ON Canada

ISBN: (纸本)1424408296;97

The paper presents a new design method for low-cost fuzzy control systems used in mechatronics, characterized by second-order dynamics of integral type, controlled by two-degree-of-freedom Pi-fuzzy controllers. The method, referred to as delta domain design, consists of three design steps based on continuous-time linear case design results expressed in terms of the Extended Symmetrical Optimum method applied in the delta domain, followed by the transfer of these results to the fuzzy case. The new design method and Mamdani Pi-fuzzy controllers are validated by real-time experiments in controlling a nonlinear servosystem.

关键词： Fuzzy control Servosystems Control systems Design methodology Cascading style sheets Sampling methods Automatic control Design automation Mechatronics Vehicle dynamics

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Numerical reconstruction of the HOSVD based canonical form of polytopic dynamic models

Numerical reconstruction of the HOSVD based canonical form o...

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INES 2006: 10th International Conference on Intelligent Engineering Systems 2006

作者： Baranyi, Péter Szeidl, László Várlaki, Péter Computer and Automation Research Institute Hungarian Academy of Sciences Kende utca 13-17 H-1111 Budapest Hungary Dept. Telecommunication and Media Informatics Budapest University of Technology and Economics Magyar tudósok u. 2 H-1117 Budapest John von Neumann Faculty of Informatics Budapest Tech. Bécsi út 96/B H-1034 Budapest Hungary Faculty of Informatics Loránd Eötvös University Pazmany P. setany 1/D H-1117 Budapest Dept. of Chassis and Lightweight Structures Budapest University of Technology and Economics Bertalan Lajos u. 2 H-1111 Budapest Hungary

ISBN: (纸本)0780397088

The main objective of the paper is to introduce how the concept of tensor HOSVD can be carried over to the class of multi-variable TP (Tensor Product) functions, namely, how we can define and generate the "HOSVD like" decomposition of TP functions and define it as the HOSVD based canonical form. The key idea and the basic concept of this decomposition was proposed recently with the TP model transformation based control design methodology. The novelty of this paper is to present the mathematical background of this concept. © 2006 IEEE.

关键词： Dynamic models

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