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9th IFAC Workshop on Time Delay Systems, TDS 2010

作者： Bobtsov, Alexey A. Pyrkin, Anton A. Department of Control Systems and Informatics Saint Petersburg State University of Information Technologies Mechanics and Optics Kronverkskiy Av. 49 Saint Petersburg 197101 Russia Laboratory Control of Complex Systems Institute for Problems of Mechanical Engineering Bolshoy pr. V.O. 61 St.Petersburg 199178 Russia

ISBN: (纸本)9783902661715

This paper deals with the output stabilization of time-delay systems with sector-bounded nonlinearity. In this paper we will consider the problem of absolute stability for a class of time-delay systems which can be represented as a feedback connection of a linear dynamical system with unknown parameters and a uncertainty nonlinearity satisfying a sector constraint. For a class of output control algorithms a controller providing output asymptotic stability of equilibrium position is designed.

关键词： Asymptotic stability

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Numerical operability analysis of multidimensional systems with interval parameters using interval degeneration factors

Numerical operability analysis of multidimensional systems w...

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作者： Dudarenko, Natalia Ushakov, Anatoly Department of Computer Science and Electrical Engineering Luleå University of Technology SE-971 87 Luleå Sweden Department of Control Systems and Informatics National Research University of Information Technologies Mechanics and Optics Kronverkskiy pr. 49 197101 Saint Petersburg Russia

ISBN: (纸本)9789604741991

This paper deals with the problem of numerical analysis of multidimensional systems with interval parameters in relation to the operability of MIMO systems. The problem is analyzed for the case when the relative estimation of the interval parameters exceeds 0.5 and based on the assumption that only the state matrix of a MIMO system contains interval parameters. The problem of operability estimation of the MIMO system is solved with interval degeneration factors. Interval degeneration factors are constructed using interval arithmetic and the singular values of the interval criterion matrices of the system. An operability analysis algorithm of multidimensional systems with interval parameters is proposed in the paper. The results are supported with an example.

关键词： MIMO systems

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Ratio counter - Solution of the relation between safety and availability of a communication system

Ratio counter - Solution of the relation between safety and ...

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作者： Zelenka, Ján Rastočný, Karol Holečko, Peter Franeková, Mária Institute of Informatics Slovak Academy of Sciences Dúbravská cesta 9 845 07 Bratislava Slovakia University of Žilina Faculty of Electrical Engineering Department of Control and Information Systems Univezitná 8215/1 010 26 Žilina Slovakia

ISBN: (纸本)9788070438657

Safety and reliability belong to the main quality attributes of a safety relevant control system. If a communication system is a component of a safety relevant control system then because of its properties it can also significantly affect the safety and reliability of the entire safety relevant control system. Safety and reliability attributes of a communication system can be influenced by a proper application of a so-called ratio criterion. Although the ratio criterion is often being utilised in practical applications, the parameters of ratio criterion are usually set intuitively. The contribution is focused on the problem of ratio counter parameters choice, which in co-operation with the safety code decoder provides operational checking of a non-trusted transmission system.

关键词： control systems

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One design of ideal vehicle models in adaptive steering driver-vehicle systems

One design of ideal vehicle models in adaptive steering driv...

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International Conference on Modelling, Identification and control (ICMIC)

作者： Qiang Wang Masahiro Oya Natsuki Takagi Department of Systems Design and Informatics Kyushu Institute of Technology Fukuoka Japan Department of Mechanical and Control Engineering Kyushu Institute of Technology Fukuoka Japan

If the dynamics of combined vehicles such as tractor-semitrailer varies greatly, it may be very difficult for inexperienced drivers to achieve good handling stability. Moreover, once combined vehicles become unstable, it is very difficult for all drivers to stabilize vehicles. However, if the behavior of actual combined vehicles tracks the designed ideal vehicle models, the good handling property can be maintained even when the dynamics of actual combined vehicles varies largely. In this paper, to achieve good handling property even for large variation of vehicle dynamics, a design method of ideal vehicle model for driver-vehicle systems is proposed, then, an adaptive steering controller is developed so that the actual vehicle tracks the ideal vehicle model. In the adaptive steering driver-vehicle systems, the actual vehicle can track the ideal vehicle model even when the dynamics of actual combined vehicles varies large. Using this property of adaptive steering driver-vehicle systems, the ideal vehicle model can be designed easily for different characteristics of driver. Carrying out numerical simulations, it is shown that good handling performance can be achieved when the actual vehicle tracks the designed ideal vehicle model.

关键词： Chromium Transforms Driver circuits

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Experimental verification of design methods for conventional PI/PID controllers

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WSEAS Transactions on Systems and control 2010年第5期5卷 269-280页

作者： Matušů, Radek Prokop, Roman Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University Nad Stráněmi 4511 76005 Zlín Czech Republic

The paper presents an experimental verification of conventional PI and PID controller design methods. Nine different synthesis techniques were used to control of airflow speed in laboratory model of hotair tunnel, most of them for both PI and PID version. In the first instance the controlled plant was identified in order to obtain a linear mathematical model and then the controllers were designed using studied methods. The controllers were tested in simulations and subsequently implemented under real conditions. The obtained control results have been compared and analyzed.

关键词： Three term control systems

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Nonlinear dynamic of actuators with elasticities and friction

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IFAC Proceedings Volumes 2010年第18期43卷 255-260页

作者： M. Ruderman T. Bertram S. Aranovskiy Institute of Control Theory and Systems Engineering Technische Universität Dortmund 44221-Dortmund Germany Department of Control Systems and Informatics Saint-Petersburg State University of Information Technologies Mechanics and Optics 197101-Saint-Petersburg Russia

To control actuators with elasticities and friction a better comprehension of the appropriate nonlinear dynamic is required. In this paper we propose a simple dynamic model of actuator subject to the nonlinear friction and elasticities combined with the structural damping. The last ones give rise to a hysteretic restoring force (torque) which conjointly with friction provides the second order oscillation system with memory. The derived model is experimentally evaluated on the high precision positioning system used for an optical equipment.

关键词： Nonlinear models Friction Hysteresis Actuators Nonlinear systems

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Detection of bacterial contamination in milk using NIR spectroscopy and two classification methods - SIMCA and Neuro – Fuzzy classifier

Detection of bacterial contamination in milk using NIR spect...

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作者： Veleva-Doneva, Petya Draganova, Tsvetelina Atanassova, Stefka Tsenkova, Roumiana Department of Informatics and Mathematics Trakia University Stara Zagora 6000 Bulgaria Department of Automatics Information and Control Engineering University of Rousse Rousse 7000 Bulgaria Department of Physics Trakia University Stara Zagora 6000 Bulgaria Biomeasurement Technology Laboratory Faculty of Agriculture Kobe University Kobe 657-8501 Japan

ISBN: (纸本)9783902661906

Potential of near-infrared spectroscopy combined with multivariate classification methods for detection of bacteria in cow milk was investigated. Spectra of milk samples were obtained in a region from 600 to 1880nm. Presence of Staphylococcus aureus, Streptococcus agalactiae and other bacteria from genus Streptococcus, one of bacteria, causing mastitis in cows, was obtained in some of the milk samples by classical microbiological methods. One hundred milk samples negative for bacteria (class healthy) and one hundred milk samples with presence of bacteria (class contaminated) were used in the investigation. Two classification methods - Soft Independent Modeling of Class Analogy (SIMCA) and adaptive Neuro - Fuzzy Inference System (ANFIS) were implemented. SIMCA develops models for each class based on principal components (PC) that describe the variations of the spectral data. Once each class has its own model, new samples could be classified to one or another classes according to their spectra. The inputs to ANFIS were several principal components. ANFIS had only one output node, the class type. One-half of samples from each class were used as a training set for creation of SIMCA models or trained the ANFIS. The rest of the samples were used as test set for verification the obtained classifiers. SIMCA models, based on 7 PC correct classified 90% of samples from class contaminated and 88% of samples from class healthy for training data set. The results for testing the models with samples from test set were as follow: 90% of samples from class contaminated and 86% of samples from class healthy were correct classified. The average testing error for ANFIS classifier was 0.058% for class healthy was 0,032 % for class contaminated. Results of the presented experiments showed possibility to establish classifiers for identification of raw milk samples, infected with bacteria. Near infrared spectroscopy in combination with multivariate classification techniques offers an alter

关键词： Bacteria

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Recognition of Fusarium diseased corn kernels using NIR spectroscopy and Neuro – Fuzzy classifier

Recognition of Fusarium diseased corn kernels using NIR spec...

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作者： Draganova, Tsvetelina Daskalov, Plamen Tsenkova, Roumiana Atanassova, Stefka Veleva-Doneva, Petya Department of Automatics Information and Control Engineering University of Rousse Rousse 7017 Bulgaria Biomeasurement Technology Laboratory Faculty of Agriculture Kobe University Kobe 657-8501 Japan Department of Physics Trakia University Stara Tagora 6000 Bulgaria Department of Informatics and Mathematics Trakia University Stara Tagora 6000 Bulgaria

ISBN: (纸本)9783902661906

In this paper we present the results obtained recently by recognizing corn kernels (healthy and Fusarium diseased) using spectral characteristics and Neuro-Fuzzy classifier. The proposed approach to corn kernel type diagnostic is based on three steps: spectral data acquisition, preliminarily processing and feature extraction, and classification. In the first step, the near infrared reflectance spectral characteristics are obtained in the range 400 - 2500 nm with step 2 nm. In the second step informative features are extracted using principal component analysis. In order to make a compact spectral data representation, the number of features is reduced. Adaptive Neuro - Fuzzy Inference System (ANFIS) is implemented in order to establish decision boundaries in the space of the selected features which separate samples belonging to two different classes (healthy and Fusarium diseased corn kernels). The inputs to ANFIS are several principal components. ANFIS has only one output node, the corn kernel type. The system is trained by data of train sample. We then evaluate the deviation of our estimate compared to the expert assessment. The procedure is applied to the 1800 corn kernels spectral data and the average accuracy is given. The average testing error for class healthy is 0,023 % and for class diseased is 0,329 %. As a result of the presented experiments the NIR spectroscopy is applicable as a nondestructive tool for Fusarium diseased corn kernels recognition and may become a powerful tool for monitoring the safety of our food supply. For practical implementation in the grain industry, a ANFIS classifier can be used effectively.

关键词： Food supply

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A novel approach to the model reference adaptive control of MIMO systems

A novel approach to the model reference adaptive control of ...

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19th International Workshop on Robotics in Alpe-Adria-Danube Region, RAAD 2010

作者： Tar, J.K. Rudas, I.J. Bitó, J.F. Kozlowski, K.R. Pozna, C. Institute of Intelligent Engineering Systems John von Neumann Faculty of Informatics Ó Buda University Bécsi út 96/B H-1034 Budapest Hungary Department of Control and Systems Engineering Computing Science and Management Poznań University of Technology Piotrowo 3a 60-965 Poznań Poland Design and Robotics Department University Transilvania of Brasov Bd. Eroilor 29 Brasov Romania

ISBN: (纸本)9781424468867

The "Model Reference Adaptive control (MRAC)" is a popular approach from the early nineties to our days. Its basic idea is the application of proper feedback that makes the behavior of the controlled system identical to that of the "reference model" that normally is simple enough to control. The idea has many particular variants with the common feature that they are designed by the use of Lyapunov's 2nd ("direct") method that normally applies a quadratic Lyapunov function constructed of the tracking error and further additional terms. Though this approach normally guarantees global asymptotic stability, its use can entail complicated tuning that may have disadvantages whenever very fast applications are needed. In this paper an alternative problem tackling, the application of "Robust Fixed Point Transformations (RFPT)" in the MRAC technique is recommended. This approach applies strongly saturated, multiplicative nonlinear terms causing a kind of "deformation" of the input of the available imprecise system model. Instead parameter tuning that is typical in the traditional MRAC it operates with a simple convergence guaranteed only within a local basin of attraction. This technique can well compensate the simultaneous consequences of modeling errors and external disturbances that normally can "fob" the more traditional, tuning based approaches. As a potential application paradigm the novel MRAC control of a "cart-beam-hamper" system is considered. The conclusions of the paper are illustrated by simulation results. © 2010 IEEE.

关键词： Model reference adaptive control

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A Brain Computer Interface for Communication Using Real-Time fMRI

A Brain Computer Interface for Communication Using Real-Time...

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International Conference on Pattern Recognition

作者： Anders Eklund Mats Andersson Henrik Ohlsson Anders Ynnerman Hans Knutsson Division of Medical Informatics Department of Biomedical Engineering Linköping University Sweden Linkopings universitet Linkoping SE Division of Automatic Control Department of Electrical Engineering Linköping University Sweden

ISBN: (纸本)9781424475421

We present the first step towards a brain computer interface (BCI) for communication using real-time functional magnetic resonance imaging (fMRI). The subject in the MR scanner sees a virtual keyboard and steers a cursor to select different letters that can be combined to create words. The cursor is moved to the left by activating the left hand, to the right by activating the right hand, down by activating the left toes and up by activating the right toes. To select a letter, the subject simply rests for a number of seconds. We can thus communicate with the subject in the scanner by for example showing questions that the subject can answer. Similar BCI for communication have been made with electroencephalography (EEG). In these implementations the subject for example focuses on a letter while different rows and columns of the virtual keyboard are flashing. The system then tries to detect if the correct letter is flashing or not. In our setup we instead classify the brain activity. Our system is not limited to a communication interface, but can be used for any interface where five degrees of freedom is necessary.

关键词： Artificial neural networks Support vector machines Training Brain Electroencephalography Real time systems Training data

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