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IEEE International Symposium on Intelligent control (ISIC)

作者： S. Poyhonen M. Negrea A. Arkkio H. Hyotyniemi H. Koivo Control Engineering Laboratory Department of Automation and Systems Technology Helsinki University of Technology Finland Laboratory of Electromechanics Department of Electrical Engineering Helsinki University of Technology Finland

Support vector machine (SVM) based classification is applied to fault diagnostics of an electrical machine. Numerical magnetic field analysis is used to provide virtual measurement data from healthy and faulty operations of an electric machine. Power spectra estimates of a stator line current of the motor are calculated with Welch's method, and SVMs are applied to distinguish the healthy spectrum from faulty spectra. Multiple SVMs are combined with a majority voting approach to reconstruct the final classification decision.

关键词： Support vector machines Support vector machine classification Magnetic field measurement Stators Voting Neural networks Laboratories Magnetic analysis Condition monitoring Statistical learning

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MILESTONE REPORT COORDINATING COMMITTEE ON COMPUTER control

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IFAC Proceedings Volumes 2002年第1期35卷 217-225页

作者： Henk B. Verbruggen Jaehyun Park Wolfgang Halang George Irwin Janusz Zalewski Faculty of Information Technology and systems Delft University of Technology Delft the Netherlands Department of Automation Engineering Inha University Inchon Korea Faculty of Electrical Engineering Fern Universität Hagen Germany Intelligent Control and Systems Group School of Electrical and Electronic Engineering Queen's University Belfast UK Department of Electrical and Computing Engineering University of Central Florida Orlando USA

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On complex non-linear systems with symmetries: controllability preserving decomposition

On complex non-linear systems with symmetries: controllabili...

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IEEE International Conference on Electronics, Circuits and systems (ICECS)

作者： G.M. Dimirovski Y.-W. Jing J. Zhao T.D. Kolemisevska-Gugulovska Institute of Automation & Systems Engineering Faculty of Electrical Engineering Ss Cyril and Methodius University Skopje Macedonia Department of Computer Engineering Faculty of Engineering Dogus University Istanbul Turkey Institute of Control Science School of Information Science & Engineering Northeastern University Shenyang Liaoning China Institute of Automation & Systems Engineering Faculty of Electrical Engineering Ss Cyril and Methodius University Skopje Macedonia

In this paper, the problems of isomorphic decomposition and controllability of a class of nonlinear systems possessing symmetries, on the basis of quotient systems, is studied. The isomorphic decomposition formations of these systems are derived. Finally, it is shown that controllability of the original systems can be determined by that of the subsystems, which are obtained through isomorphic decomposition. The corresponding sufficient and necessary conditions are given. Two new theoretical results have been proved.

关键词： controllability Nonlinear control systems control systems Nonlinear systems Automatic control Information science automation systems engineering and theory Feedback Mathematical model

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Decomposition of complex linear systems via hierarchical similarity structure

Decomposition of complex linear systems via hierarchical sim...

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IEEE International Conference on Electronics, Circuits and systems (ICECS)

作者： Y.-W. Jing G.M. Dimirovski J. Zhao M.J. Stankovski Institute of Control Science School of Information Science & Engineering Northeastern University Shenyang Liaoning China Institute of Automation & Systems Engineering Faculty of Electrical Engineering Ss Cyril and Methodius University Skopje Macedonia Department of Computer Engineering Faculty of Engineering Dogus University Istanbul Turkey

In this paper, the problem of system decomposition of complex linear dynamical systems, by exploiting the similarity property, is studied. System decompositions were sought in terms of similarity hierarchical structures. Three new theoretical results were proved. A method for constructing the transformation has been derived. The conditions for such decomposition of complex linear systems are given.

关键词： Linear systems control systems systems engineering and theory Design engineering Interconnected systems Robots Automatic control Information science automation Modems

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APPLICATION OF ROBUST OBSERVER-BASED FDI systems TO FAULT TOLERANT control

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IFAC Proceedings Volumes 2002年第1期35卷 455-460页

作者： P. Zhang S.X. Ding G.Z. Wang T. Jeinsch D.H. Zhou Dept. of Automation Tsinghua Univ. 100084 Beijing P.R.China Inst. of Automatic Control and Complex Systems Univ. of Duisburg Germany Dept. of Electrical Engineering. Univ. of Applied Sciences Lausitz Germany

In this paper, an active fault tolerant control (FTC) strategy is presented for linear dynamic systems. The robust observer-based fault detection and isolation (FDI) systems are applied to guide the reconfiguration of controller parameters to achieve the optimal control performance during different operating conditions of the system: fault-free, fault detected and fault isolated. The selection of design parameters is achieved using the linear matrix inequality (LMI) optimization technique.

关键词： Fault tolerant systems fault detection fault isolation observers uncertainty robustness

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A robust model-based information system for monitoring and fault detection of large scale belt conveyor systems

A robust model-based information system for monitoring and f...

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World Congress on Intelligent control and automation (WCICA)

作者： T. Jeinsch M. Sader R. Noack K. Barber S.X. Ding P. Zang M. Zhong Department of Electrical Engineering University of Applied Sciences Lausitz Germany Institute of Automatic Control and Complex Systems Gerhard Mercator University of Duisburg Duisburg Germany Department of Automation Tsinghua University Beijing China Business and Management School Donghua Uinversity Shanghai China

In this paper an information system is presented, which is developed to meet the requirements on fault detection and online monitoring of large scale belt conveyor systems. The core of this information system consists... 详细信息

关键词： Robustness Information systems Fault detection Large-scale systems Belts Fault diagnosis Computerized monitoring Mathematical model Steel Analytical models

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On state and parameter estimation via innovation representation with applications to aquatic ecosystems 6

On state and parameter estimation via innovation representat...

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6th European control Conference, ECC 2001

作者： Kolemishevska-Gugulovska, T.D. Dimirovski, G.M. Stankovski, M.J. Dept. of Automation and Systems Engineering Faculty of Electrical Engineering SS Cyril and Methodius University SkopjeMK-91000 Macedonia Inst. of Automatic Control and El. Drives Faculty of Technical and Natural Science Johannes Kepler University Altenbergerstr. 69 LinzA-4040 Austria

ISBN: (纸本)9783952417362

The problem of simultaneous state and system parameter estimation for aquatic ecosystems is considered in this paper. This problem has been solved through the identification of an innovation dynamical model representation of the underlying process within the hydrological cycle of the ecosystem basin. A recursive prediction error (RPE) algorithm is derived for the joint system parameter and state estimation through minimization of the innovation variance (MIV). On the grounds of the case study on Ohridean Lake using recorded data by the Hydro-meteorological Institution a comparison analysis has been carries out between the methods of innovation variance minimization and of extended non-linear Kalman filter. © 2001 EUCA.

关键词： Aquatic ecosystems

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Robust PI and PID controllers including Smith predictor structure

Robust PI and PID controllers including Smith predictor stru...

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American control Conference (ACC)

作者： B. Kristiansson B. Lennartson Department of Electrical and Computer Engineering Chalmers Lindholmen Goteborg Sweden Department of Signals and Systems Control and Automation Laboratory Chalmers University of Technology Goteborg Sweden

In this paper PI and PID controllers augmented by a Smith predictor structure are compared to ordinary PI and PID controllers, for plants with medium and great time delays. The comparison is based an a systematic evaluation method, where both robustness and performance aspects in different frequency regions are taken into account. The results show that a Smith predictor increases performance somewhat for a PID controller when the time delay is moderate. For great time delays, however, the improvement is insignificant. An important remark is that it is necessary to include the predictor structure in the design to get acceptable robustness properties. For a PI controller the benefits from a predictor are mostly small or negligible independent of time delay. Most important is, however that a derivative part obviously will bring significantly greater improvement than a Smith predictor to a system with a PI controller. This result is somewhat surprising, since Smith predictors are normally used together with PI and not with PID controllers. Furthermore, it is sometimes argued that it is no use to include derivative action for plants with significant time delay.

关键词： Robust control Three-term control control systems Delay effects Automatic control Frequency Robustness Robust stability automation Pi control

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On simulation based analysis and synthesis of hierarchical network sturctures 6

On simulation based analysis and synthesis of hierarchical n...

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6th European control Conference, ECC 2001

作者： Tanevska, Dijana J. Dimirovski, Georgi M. Stankovski, Mile J. Jing, Yuanwei Makedonski Telekomunikacii AD Orce Nikolov Str. b.b. SkopjeMK-91000 Macedonia Inst. of Automation and Systems Engg. Faculty of Electrical Engg. SS Cyril and Methodius University SkopjeMK-1000 Macedonia Department of Computer Engg. Faculty of Engineering DOGUS University Kadikoy-IstanbulTR-81010 Turkey Dept. of Automatic Control and Control Eng. School of Information Science and Engineering Northeastern University Shenyang Liaoning110006 China

ISBN: (纸本)9783952417362

Analysis of complex systems such as hierarchically structured network systems that are employed in modelling and analysis various aspects and issues of control and management in telecommunications is investigated. Theory of graphs and binary matrices appear to be most suitable tools for modelling the overall structure of complex systems, in general, and of systemic hierarchies, in particular. A systematic methodology has been developed for computer simulation analysis and detecting general hierarchies in communications networking as well as for synthesis of system hierarchies. This methodology is an improved extension of Warfield's technique. © 2001 EUCA.

关键词： Discrete event simulation

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An evaluation of algorithms for computing the covariance function of a multivariable ARMA process 6

An evaluation of algorithms for computing the covariance fun...

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6th European control Conference, ECC 2001

作者： Soderstrom, Torsten Sebek, Michael Jezek, Jan Kucera, Vladimir Henrion, Didier Department of Systems and Control Information Technology Uppsala University P O Box 27 UppsalaS-751 03 Sweden Center for Applied Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague Technicka 2 PragueCZ-16627 Czech Republic Institute of Information Theory and Automation Academy of Sciences of the Czech Republic P 0 Box 18 PragueCZ-182 08 Czech Republic Toulouse France

ISBN: (纸本)9783952417362

Computation of an ARMA covariance function is a common ingredient in analysis and synthesis of various problems in stochastic control, estimation and signal processing. In this paper, we present an algorithm based on simple polynomial calculations. Compared to alternative strategies, its computational load increases slowly with the order of the process. Further, it shows good numerical robustness and applies to multivariable ARMA processes, even with complex-valued coefficients. © 2001 EUCA.

关键词： Stochastic systems

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