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International Conference on process control

作者： Jiri Vojtesek Petr Dostal Department of Process Control Faculty of Applied Informatics Tomas Bata University in Zlin

ISBN: (纸本)9781479909261

An isothermal reactor is a typical member of nonlinear processes. The mathematical modeling and computer simulations are tools widely used nowadays for their advantages over the experiment on the real system. The mathematical model of the surveyed isothermal reactor is described by the set of five ordinary differential equations which could be easily programmed and solved by mathematical software, e.g. Matlab. The paper shows a procedure for designing and controlling of this type of the reactor. The design of an adaptive controller uses a polynomial approach together with the linear-quadratic approach and the spectral factorization. It means that this controller satisfies basic control requirements. The adaptivity of the system is satisfied by the recursive identification of the external linear model.

关键词： Mathematical model Simulation Adaptive control Spectral factorization LQ approach Recursive identification

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Simulation verification of digital self-tuning control of systems with time-delay

Simulation verification of digital self-tuning control of sy...

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IASTED International Conference on applied Simulation and Modelling, ASM 2011

作者： Bobál, Vladimír Chalupa, Petr Dostál, Petr Novák, Jakub Tomas Bata University in Zlín Faculty of Applied Informatics Department of Process Control Nam. T. G. Masaryka 5555 760 01 Zlín Czech Republic

ISBN: (纸本)9780889868939

Time-delays (dead times) are found in many processes in industry. Time-delays are mainly caused by the time required to transport mass, energy or information, but they can also be caused by processing time or accumulation. The contribution is focused on a design of algorithms for self-tuning digital control for processes with time-delay. The algorithms are based on the some modifications of the Smith Predictor (SP). One modification of the SP based on the digital PID controller was applied and it was compared with designed controller based on polynomial approach. The program system MATLAB/SIMULINK was used for simulation verification of these algorithms.

关键词： Time delay

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The RDF foundry: Call for an initiative to build enhanced RDF resources for biological data integration 11

The RDF foundry: Call for an initiative to build enhanced RD...

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Proceedings of the International Conference on Web Intelligence, Mining and Semantics

作者： Venkatesan, Aravind Blondé, Ward Antezana, Erick Skillingstad, Mats Marshall, M. Scott De Baets, Bernard Mironov, Vladimir Kuiper, Martin Department of Biology Høgskoleringen 5 7491 Trondheim Norway Ghent University Department of Applied Mathematics Biometrics and Process Control Coupure links 653 9000 Ghent Belgium Informatics Institute University of Amsterdam Netherlands

ISBN: (纸本)9781450301480

Currently, the OBO Foundry plays an important role by setting guidelines to formalise the concepts within the biomedical domain. The ontologies within the OBO Foundry are usually represented in the OBO ontology language. While being human-readable, this language lacks the computational rigour required for the Semantic Web (SW). Consequently, the RDF and OWL languages, both fundamental components of the SW technology stack, are being increasingly adopted by the biomedical community to exchange biological knowledge in a computer intelligible form. Some of the OBO- formatted ontologies have been made available in OWL, thus signalling a move towards the SW. OWL provides support for automated reasoning, which is its raison d'être. Unfortunately, automated reasoning on the massive volumes of data that are typical of the biomedical domain is riddled with performance limitations. Due to consistent support for the SPARQL specification in triple store implementations, as well as the ability to simulate some types of reasoning with pre-computed closures, RDF has evolved into a language of choice for knowledge exchange within the framework of the SW. Here, we discuss the need to establish a foundry charged with the task of harmonizing biomedical RDF resources, acting along the same lines as the OBO Foundry. To substantiate the need for an RDF Foundry, we provide the outcome of a small survey we have conducted to highlight the domain coverage, redundancies, and comprehensiveness of results obtained from a few representative distributed resources available today. © 2011 ACM.

关键词： Data integration

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control OF LIQUID TANKS USING DECENTRALIZED APPROACH WITH LOGICAL SUPERVISOR

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IFAC Proceedings Volumes 2006年第2期39卷 379-384页

作者： Petr Chalupa Vladimír Bobál Tomas Bata University in Zlín Faculty of Applied Informatics Department of Process Control fax: +420 57603 5279

The paper deals with decentralized control with logical supervisor. The decentralized control is an approach of controlling multi input multi output systems with the same number of inputs as the number of outputs. The logical supervisor was proposed as a possible way of improving the stability and the quality of control courses. The theoretical results are applied to a real-time laboratory control system – DTS200 Three Tank System.

关键词： decentralized control logical supervisor self-tuning control on-line identification

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Robust stability checking of a class of linear interval fractional order system using lyapunov inequality

Robust stability checking of a class of linear interval frac...

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作者： Ahn, Hyosung Chen, YangQuan Podlubny, Igor Department of Electrical and Computer Engineering Utah State University Logan UT 84322-4160 United States Department of Applied Informatics and Process Control Technical University of Kosice B. Nemcovej 3 04200 Kosice Slovakia

ISBN: (纸本)9783902661128

This paper provides a new analytical robust stability checking method of fractional-order linear time invariant interval uncertain system. This paper continues the authors' previous work (Chen et al., 2005a) where matrix perturbation theory was used. For the new robust stability checking, Lyapunov inequality is utilized for finding the maximum eigenvalue of a Hermitian matrix. Through numerical examples, the usefulness and the effectiveness of the newly proposed method are verified.

关键词： Invariance

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Alternative approach to optimization in model predictive control using hill climbing algorithm 26

Alternative approach to optimization in model predictive con...

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26th DAAAM International Symposium on Intelligent Manufacturing and Automation, DAAAM 2015

作者： Antos, Jan Kubalcik, Marek Department of Process Control Faculty of Applied Informatics Tomas Bata University in Zlín nám. T. G. Masaryka 5555 Zlín760 01 Czech Republic

ISBN: (纸本)9783902734075

The term predictive control designates a class of control methods suitable for control of various kinds of systems. One of the major advantages of predictive control is its ability to do on-line constraints handling in a systematic way. The predictive control is based on the prediction of a system behavior using a model. Based on this prediction, it is possible to optimize the systems behavior by utilization of a cost function. Each of control variables may be limited thus creating a specific subspace within a cost function. This problem is computationally complex and must be solved in each sampling period by optimization algorithms. Various kinds of algorithms may be applied. This contribution is focused on an alternative approach to optimization by implementation of Hill Climbing algorithm. The motivation for this concept is an effort to find algorithms suitable for reduction of computational expenses. These algorithms might be applied for control of systems with faster dynamics.

关键词： Cost functions

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Adaptive control of nonlinear servo system with disturbance rejection

Adaptive control of nonlinear servo system with disturbance ...

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Mediterranean Conference on control and Automation (MED)

作者： V. Bobál P. Chalupa M. Kubalčík P. Dostál Faculty of Applied Informatics Department of Process Control Tomas Bata University Zlin Czech Republic

The contribution is focused on a design of a control algorithm for a nonlinear servo system with disturbance rejection using adaptive control strategy. It is obvious that for a rejection of the measurable disturbance is a suitable control strategy based on polynomial approach. The regression (output error) models are used in the identification part, the parameter estimates of the process and disturbance models were computed using the least squares method extended by a directional (adaptive) forgetting. The controller synthesis is based on polynomial theory - pole assignment method. The designed controller was applied to a laboratory servo system Amira DR300 in real-time conditions.

关键词： Polynomials Friction Steady-state Mathematical model Laboratories Adaptation models control systems

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Predictive control of the magnetic levitation model

Predictive control of the magnetic levitation model

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International Conference on process control (PC)

作者： Lukáš Rušar Adam Krhovják Vladimír Bobál Department of Process Control Faculty of Applied Informatics Tomas Bata University Zlin Czech Republic

This paper presents a possible way to control the a very fast nonlinear systems. The system of the magnetic levitation was chosen as an exemplar process. This is an example of the process with a sampling period in order of milliseconds. We chose a predictive control method to control this system. The state-space CARIMA mathematical model is used for prediction of the output values. This paper describes the magnetic levitation model, its linearization, prediction of the output values and a calculation of the control signal by using a predictor-corrector method which turned out to be the best solution out of the selected ones. The results compare several optimization methods to achieve the fastest calculation of the control signal. All of the simulation was done in Matlab.

关键词： Mathematical model Magnetic levitation Predictive control Predictive models Cost function MATLAB

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A Note on the Fractional-Order Cellular Neural Networks

A Note on the Fractional-Order Cellular Neural Networks

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International Joint Conference on Neural Networks (IJCNN)

作者： I. Petras Department of Applied Informatics and Process Control Institute of Production Process Control Faculty of B.E.R.G. Technical University Kosice Slovakia

This paper deals on fractional-order cellular neural networks (CNNs). It is based on the well-known concept of the CNNs, where mathematical model of the CNN consists a fractional order derivative. Traditional first order cell is replaced by fractional order (non-integer) one. We present the method to derive such kind of the fractional order cell. An illustrative example has been used to demonstrate and investigate the existence of the fractional order CNN. We present the fractional three-cell CNN where the total order of system is less than three, namely 2.7, and the corresponding state space trajectories are shown as well.

关键词： Cellular neural networks Differential equations Chaos Approximation methods Mathematical model Voltage Nonlinear dynamical systems process control State-space methods Fractional calculus

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Adaptive control of Three - Tank - System: Comparison of Two Methods

Adaptive Control of Three - Tank - System: Comparison of Two...

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2008 Mediterranean Conference on control Automation, vol.1

作者： Marek Kubalcik Vladimir Bobal Department of Process Control Faculty of Applied Informatics Tomas Bata University Zlin Zlin Czech Republic

This paper compares two different methods applied to adaptive control of a real multivariable laboratory system of three interconnected tanks. In first case, a controller based on polynomial methods was used. The second method is based on model predictive control (MPC) approach. Both methods are based on a same model of the controlled process. Both controllers were realized as self - tuning controllers with on - line recursive identification of an ARX model of the controlled process. Results of real-time experiments are also included and quality of control achieved by both methods is compared and discussed.

关键词： Multivariable control Self - tuning control Polynomial methods Pole assignment Predictive control

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