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2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and informatics, SISY 2012

作者： Butka, Peter Pócsová, Jana Pócs, Jozef Department of Cybernetics and Artificial Intelligence Faculty of Electrical Engineering and Informatics Technical University of Košice Košice Slovakia Institute of Control and Informatization of Production Processes BERG Faculty Technical University of Košice Košice Slovakia Mathematical Institute Slovak Academy of Sciences Košice Slovakia

ISBN: (纸本)9781467347518

In this paper the relationship between one-sided concept lattices and their restricted version is described. One-sided concept lattices are based on the Galois connections within Formal Concept Analysis (FCA) framework, which allows to analyse object-attribute models with different structures for truth values of attributes. We present the approach for generation of one-sided concept lattices from restricted formal context, which is obtained from given one by omitting some subset of the set of all attributes. The resulted algorithm for such restricted problem is described, together with the discussion on its correctness. © 2012 IEEE.

关键词： Formal concept analysis

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Cloud computing as a platform for distributed fuzzy FCA approach in data analysis

Cloud computing as a platform for distributed fuzzy FCA appr...

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IEEE 16th International Conference on Intelligent engineering Systems, INES 2012

作者： Sarnovský, M. Butka, P. Pócsová, J. Technical University of Košice Faculty of Electrical Engineering and Informatics Department of Cybernetics and Artificial Intelligence Košice Slovakia Technical University of Košice Faculty of Economics Košice Slovakia Technical University of Košice BERG Faculty Institute of Control and Informatization of Production Processes Košice Slovakia

ISBN: (纸本)9781467326957

In this paper we describe use of cloud computing platform for support of distributed creation of conceptual models based on the FCA (Formal Concept Analysis) framework. FCA is one of the approaches which can be applied in process of conceptual data analysis. Extension of classical FCA (binary table data) is (one-sided) fuzzy version that works with different types of lattice-based attributes (binary, ordinal, interval-based, etc.) in the object-attribute table. This extension, so-called generalized one-sided concept lattices, provide possibility for researcher or data analyzer to use fuzzy FCA for object-attribute tables without the need for specific unified pre-processing, what is usually expected in practical data mining or online analytical tools. Computational complexity of creation of concept lattices from large contexts (data tables) is considerable, also interpretability of huge concept lattices is problematic. Therefore, we will also propose a solution for creation of simple hierarchy of smaller FCA models. Starting data table is decomposed into smaller sets of objects and then one concept lattice is built for every subset using generalized one-sided concept lattice. Such small FCA-based models are better for interpretability, and also can be combined into one hierarchy of models using simple hierarchical clustering based on the descriptions of particular models (as weighted vectors of attributes), which can be searched in analytical tool by data analyst. Cloud infrastructure is then used for increase of computational effectiveness, because particular models are built in parallel/distributed way. This cloud module can be a part of more complex data analytical system, which is also presented at the end of the paper. © 2012 IEEE.

关键词： Formal concept analysis

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A ring for description and control of time-delay systems

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WSEAS Transactions on Systems 2012年第10期11卷 571-585页

作者： Pekar, Libor Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University in Zlin nam. T. G. Masaryka 5555 76001 Zlin Czech Republic

This contribution aims a revision and extension of the ring of retarded quasipolynomial meromorphic functions (RMS) for description and control of time-delay systems (TDS). The original definition has some significant drawbacks - especially, it does not constitute a ring. Our new definition extends the usability to neutral TDS and to those with distributed delays. As first, basic algebraic notions useful for this paper are introduced. A concise overview of algebraic methods for TDS follows. The original and the revised definitions of the ring together with some its properties finish the contribution. There are many illustrative examples that explain introduced terms and findings throughout the paper.

关键词： Delay control systems

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Technical infrastructure for monitoring the transportation of oversized and dangerous goods

Technical infrastructure for monitoring the transportation o...

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Federated Conference on Computer Science and Information Systems (FedCSIS)

作者： Emil Kršák Patrik Hrkút Peter Vestenický Department of Software Technologies Faculty of Management Science and Informatics University of Žilina Zilina Slovakia Department of Control and Information Systems Faculty of Electrical Engineering University of Žilina Zilina Slovakia

The paper presents the technical infrastructure of the system for monitoring the road transportation of oversized and dangerous goods. It describes the basic components of the system - vehicle sensor network, vehicle on-board unit (OBU), monitoring centre and wireless communication system. Moreover, it specifies some important system parameters, especially the period of sending the data about the state / condition of goods to the monitoring centre.

关键词： Monitoring Vehicles GSM Information systems Europe Global Positioning System

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A sampled-data level control of nonlinear coupled-tanks

A sampled-data level control of nonlinear coupled-tanks

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IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR

作者： Valentin Tanasa Vasile Calofir Automatic Control and Systems Engineering Department Politehnica University of Bucharest Romania Laboratoire des Signaux et Systèmes CNRS-Supelec Gif-sur-Yvette France Department of Automatic Control and Industrial Informatics Politehnica University of Bucharest Romania

The object of this work is to highlight, on a physical coupled tanks system, the performances of a digital design of a continuous-time passivity based controller. The design considers the sampled-data model of the plant and provides better results compared to the emulations of given continuous-time controllers. A two-state continuous-time non-linear model is used to design the digital controller. A feedback passivating controller is developed in continuous-time from a suitable choice of the storage function V. The results show good performances of the controller when increasing the sampling period or the controllers gain.

关键词： Context control systems Process control Vectors Valves Educational institutions Liquids

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Precise frequency estimator for noised periodical signals

Precise frequency estimator for noised periodical signals

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IEEE Conference on control Technology and Applications (CCTA)

作者： Anton A. Pyrkin Alexey A. Bobtsov Sergey A. Kolyubin Alexey A. Vedyakov Department of Control Systems and Informatics Saint Petersburg National Research University of Information Technologies Mechanics and Optics Saint Petersburg Russia Laboratory “Control of Complex Systems” Institute for Problems of Mechanical Engineering St.Petersburg Russia

The frequency estimation technique with guaranteed finite time of convergence to a given accuracy of identification is presented. The approach for a high frequency noise rejection is proposed. The possibility of switching algorithm introduction for estimation quality improvement is discussed. The proposed solution has order three, that is smaller than in other existent solutions. The dimension of modified robust frequency estimator that can reject the additional measuring noise is equal four. Efficiency of the approach is demonstrated on examples of computer simulation.

关键词： Switches Frequency estimation Noise Transient analysis Convergence Estimation error Accuracy

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Output controller for uncertain nonlinear systems with structural, parametric, and signal disturbances

Output controller for uncertain nonlinear systems with struc...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Anton A. Pyrkin Alexey A. Bobtsov Sergey A. Kolyubin Maxim V. Faronov Department of Control Systems and Informatics Saint Petersburg National Research University of Information Technologies Mechanics and Optics Saint Petersburg Russia Laboratory “Control of Complex Systems” Institute for Problems of Mechanical Engineering St.Petersburg Russia

ISBN: (纸本)9781467345033

We design the output feedback controller for a class of nonlinear systems with a state delay, structural and external disturbances. The external perturbation is bounded. Structural disturbance means the unmodeled and unknown stable dynamics in the control loop. In this paper we consider the problem of exponential stability for disturbed systems which can be represented as a feedback connection of a linear dynamical system with unknown parameters and a uncertain nonlinearity satisfying a sector constraint. Proposed approach is extended for the case of unknown relative degree of the system by modification of the control law.

关键词： Adaptive control Output feedback Heuristic algorithms Delay Nonlinear dynamical systems

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Hybridized GA-optimization of neural dynamic model for nonlinear process

Hybridized GA-optimization of neural dynamic model for nonli...

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International Carpathian control Conference (ICCC)

作者： Alexander Hošovský Kamil Židek Cyril Oswald Department of Mathematics Informatics and Cybernetics Faculty of Manufacturing Technologies seat in Prešov Technical university of Košice Presov Slovakia Department of Instrumentation and Control Engineering Faculty of Engineering Czech technical university of Prague Prague Czech Republic

Neural networks as universal approximators possess capability to model complex nonlinear phenomena. However, when almost nothing is known about the modeled dynamic process it is difficult to determine important parameters like the number of neurons or the size of regressor vector (dynamic order). In order to avoid suboptimal settings for a dynamic model using trial-and-error method, genetic algorithm is used for optimizing the neural dynamic model. To improve the results even more, the genetic optimization is hybridized with a local optimizer in the form of Levenberg-Marquardt algorithm commonly used for neural network training. Here a neural model of biomass-fired boiler emissions is considered, which is eventually intended for predictive control. Series-parallel NARX model is used with two hidden layer neural network and tan-sigmoid transfer functions. The simpler neural model structure will be computationally less expensive what is important for online predictive control. The results confirm the capability of this method to achieve simpler network structures with errors comparable to the case when trial-and-error settings were previously used.

关键词： Optimization Vectors Biological neural networks Neurons Delay Genetic algorithms Training

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Attitude control of the spacecraft with unknown inertia tensor

Attitude control of the spacecraft with unknown inertia tens...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Maksim O. Surov Anton A. Pyrkin Alexey A. Bobtsov Department of Control Systems and Informatics Saint-Petersburg National Research University of Information Technologies Saint Petersburg Russia A. Bobtsov is with the Laboratory “Control of Complex Systems” Institute for Problems of Mechanical Engineering St.Petersburg Russia

We propose the new robust control approach to solve the spacecraft attitude control problem. Obtained control low does not depend of inertia tensor components or its estimate. A proof of the asymptotic stability of the spacecraft orientation has been provided. To illustrate the effectiveness of the controller a numerical example is shown.

关键词： Space vehicles Attitude control Quaternions Adaptive control Tensile stress Vectors Asymptotic stability

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Comparison of sensor configurations for mass flow estimation of turbocharged diesel engines

Lecture Notes in Control and Information Sciences

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Lecture Notes in control and Information Sciences 2012年 418卷 303-326页

作者： Polóni, Tomáš Rohal'-Ilkiv, Boris Alberer, Daniel Del Re, Luigi Johansen, Tor Arne Institute of Automation Measurement and Applied Informatics Faculty of Mechanical Engineering Slovak University of Technology Bratislava Slovakia Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Austria Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim Norway

ISBN: (纸本)9781447122203

The increasing demands on quality of power, emissions and overall performance of combustion engines lay new goals for the hardware and the software development of control systems. High-performance embedded controllers open the possibilities for application of numerical methods to solve the problems of modeling and control of combustion engines. Algorithms for estimation of state and parameters are essential components of many advanced control, monitoring and signal processing engine applications. A widely applicable estimator is given by the Extended Kalman Filter (EKF) which defines a finite memory recursive algorithm suited for real-time implementation, where only the last measurement is used to update the state estimate, based on the past history being approximately summarized by the a priori estimate of the state and the error covariance matrix estimate. The proposed EKF uses an augmented air-path state-space model to estimate unmeasurable mass flow quantities. The EKF algorithm based on the augmented state-space model considerably reduces the modeling errors compared to the open loop estimator simulation and compared to the EKF without the augmentation which is demonstrated on a standard production Diesel engine data. The experimental validation of the observed state quantities is performed against the measured pressures and turbocharger speed data. The estimated mass flow quantities are indirectly validated through the air compressor flow that is directly validated against air mass flow sensor data. Two two-sensor setups are considered in this study. In the first experiment the intake manifold pressure and the turbocharger speed is used. The second experiment uses the intake manifold pressure and the exhaust manifold pressure as the measurement information for the EKF. The second experiment gives more precise mass flow estimate in term of less bias on the estimates, but more variance due to the high frequency exhaust manifold pressure variations caused by the

关键词： Mass transfer

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