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International Conference on Emerging Technologies and Factory automation (ETFA)

作者： M. Merdan I. Terzic A. Zoitl B. Favre-Bulle Automation and Control Institute Faculty of Electrical Engineering and Information Technology University of Technology Vienna Vienna Austria

The new reconfigurable manufacturing paradigm requires development of systematic methods, and software tools, for the rapid design and builds up of production systems that change the capacity and functionality in response to the market demand. The effectiveness of reconfiguration depends upon the development of such tools. In this work, the new concept consisting of ontology knowledge based systems in connection with software agents are applied for the solution of the reconfiguration problem. Reconfigurability is achieved by the employment of the most modern technologies such as ontology driven solution

关键词： Intelligent agent Ontologies Production systems Software agents Manufacturing automation control systems Routing Multiagent systems Design automation Automatic control

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Hierarchical multiple models adaptive decoupling controller applied to the wind tunnel system

Hierarchical multiple models adaptive decoupling controller ...

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作者： Wang, Xin Li, Shao-Yuan Wang, Zhong-Jie Center of Electrical and Electronic Technology Institute of Information and Control Technology Shanghai Jiao Tong University Shanghai 200030 China Institute of Automation Shanghai Jiao Tong University Shanghai 200030 China Department of Control Science and Engineering Tongji University 200092 China

ISBN: (纸本)008045108X

For the biggest wind tunnel in Asia, during the aerodynamic research on the scale models, it is difficult to keep the Mach number in the test section and the stagnation pressure constant strictly because the interaction is strong, the operation conditions change abruptly and the transient response's requirements are high. To cope with these problems, a Hierarchical Multiple Models Adaptive Decoupling controller (HMMADC) is presented in this paper. The controller is composed of multiple fixed controller models and two adaptive controller models. Multiple models are used to improve the transient response of the wind tunnel. Hierarchical structure is presented to reduce the number of the fixed models greatly. Adaptive Decoupling controller not only decouples the system dynamically but also places the poles of the closed loop system arbitrarily. The significance of the proposed method is that it is applicable to a MIMO system with a much small number of models. The global convergence is obtained. Finally, several simulation examples in a wind tunnel experiment are given to show both effectiveness and practicality of the proposed method. Copyright © 2005 IFAC.

关键词： Wind tunnels

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On computing determinants of large Sylvester type matrices

On computing determinants of large Sylvester type matrices

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作者： Kujan, Petr Hromčík, Martin Šebek, Michael Department of Control Engineering Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Centre for Applied Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague Karlovo nam. 13 12135 Prague 2 Czech Republic Centre for Applied Cybernetics Institute of Information Theory and Automation Czech Republic Institute of Information Theory and Automation Pod vodarenskou vezi 4 18208 Praha 8 Czech Republic

ISBN: (纸本)008045108X

This work is devoted to computation of large n-D polynomial determinants with a special structure. Applications involve n-D systems theory (e.g. coprimeness test for two n-D polynomials or the theory of algebraic equations. More specifically, these determinants were exploited in (Chiasson et al., 2003b;Chiasson et al., 2003a) to solve the practical problem of multilevel converter by a special computational procedure. To tackle the concerned problem it is essential to solve a system of polynomial equations with many unknowns. An algorithm was chosen based on elimination theory using resultants leading to the fundamental problem of computing determinants of large Sylvester type matrices with n-D polynomial entries. The aim of this work is to propose and test new numerical algorithms that would make it possible to solve the concerned problems more effectively. Copyright © 2005 IFAC.

关键词： Fast Fourier transforms

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A FREQUENCY DOMAIN DESIGN TECHNIQUE FOR ROBUST DECENTRALIZED controlLERS

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IFAC Proceedings Volumes 2005年第1期38卷 69-75页

作者： Alena Kozáková Vojtech Veselý Department of Automatic Control Systems Faculty of Electrical Engineering and Information Technology Slovak University of Technology Bratislava Slovak Republik

The paper proposes a new frequency domain approach to the design of robust decentralized controllers (DC) for continuous-time systems described by a set of transfer function matrices. To guarantee the nominal stability and the prespecified nominal performance, the recently developed DC design technique (Kozáková and Veselý, 2003) has been applied, adapted so as to guarantee the robust M -δ structure based stability conditions modified for the closed-loop system under decentralized controller as well. Unlike the standard robust approaches to the DC, this technique allows the inclusion of the nominal interactions into the nominal model; thus the conservativeness of the robust stability conditions is relaxed.

关键词： decentralized control robust stability unstructured uncertainty

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Robust genetic algorithm approach to modelling and control

Robust genetic algorithm approach to modelling and control

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IEEE International Symposium on Intelligent Signal Processing

作者： S. Kozak R. Memersheimer A. Kozakova Department of Automatic Control Systems Faculty of Electrical Engineering and Information Technology Slovak University of Technology Bratislava Slovakia

The paper deals with robust intelligent control of linear dynamical systems using algebraic polynomial theory in combination with the genetic algorithms (GA). It shows that the conventional robust polynomial synthesis approach can be successfully modified so as to improve performance by applying genetic algorithms for tuning controller parameters. A general algorithm has been developed for optimal polynomial controller tuning that enables to generate optimal and robust control actions for both SISO and MIMO systems. Moreover, the proposed methodology guarantees finding global optimum and enables achieving a higher performance compared with the conventional approaches. The proposed robust intelligent algorithm involving the intelligent searching procedure has been tested on a case study (control of a servo system with a changing momentum of inertia). Obtained results verify the possibility to improve the performance using combination of a polynomial algebraic controller and a genetic algorithm.

关键词： Robust control Genetic algorithms Polynomials control systems Intelligent control control system synthesis Optimal control MIMO System testing Servomechanisms

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Predictive Fuzzy control Application

Predictive Fuzzy Control Application

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Eurocon

作者： J. Paulusova S. Kozak Department of Automatic Control Systems Faculty of Electrical Engineering and Information Technology Slovak University of Technology Bratislava Slovakia

In this paper a robust predictive fuzzy control (PFC) methods for a nonlinear plant is addressed, proposed and tested. The paper consisting of theoretical and practical parts offers a new approach for intelligent fuzzy robust control design and its successful application. The structure of the fuzzy controller, online model identification and optimal performance index are analyzed, described and verified. The proposed PFC is demonstrated on two examples which one is applied to control of the concentration in the chemical reactor by manipulating its flow rate. The obtained simulation results show that the proposed algorithm is applicable for effective control of highly nonlinear processes that operate over a wide range of working space

关键词： Fuzzy control Predictive control Robust control Three-term control Fuzzy logic Performance analysis Chemical reactors electrical equipment industry Industrial control Process control

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Web-based MATHEMATICA platform for systems and control education

Web-based MATHEMATICA platform for systems and control educa...

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20th IEEE International Symposium on Intelligent control, ISIC '05 and the13th Mediterranean Conference on control and automation, MED '05

作者： Kujan, Petr Hromčík, Martin Šebek, Michael Department of Control Engineering Faculty of Electrical Engineering Czech Technical University in Prague Karlovo nam. 13 12135 Prague 2 Czech Republic Centre for Applied Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague Karlovo nam. 13 12135 Prague 2 Czech Republic Centre for Applied Cybernetics Institute of Information Theory and Automation Pod vodarenskou vezi 4 18208 Praha 8 Czech Republic Institute of Information Theory and Automation Pod vodarenskou vezi 4 18208 Praha 8 Czech Republic

ISBN: (纸本)0780389360

Computer algebra software tools in general, and the MATHEMATICA system in particular, are increasingly employed during the controls and systems graduate and undergraduate courses at FEE CTU in Prague. MATHEMATICA benefits from its high-level user interface, graphical abilities, as well as numerical and symbolic computational power and dedicated packages for control systems analysis and design (control Systems Professional and Advanced Numerical Methods). In addition, MATHEMATICA provides a web-based platform for publication of results and presenting user-callable routines (webMATHEMATICA). In the Czech Republic a project financed by the Ministry of Education and called PUMA (Power User Mathematic Array) has been started recently, focused on creation of webaccessible software tools to support education at technical universities. The authors have been involved in these efforts and would like to contribute by creating a web site based on webMATHEMATICA dedicated to numerical and symbolic computations for systems and controls. This paper is the first report on this topic. The work is in rapid progress now and the paper summarizes the authors' plans and first results. ©2005 IEEE.

关键词： Computer aided software engineering

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OPTIMAL SELF TUNING NEURAL NETWORK controlLER DESIGN

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IFAC Proceedings Volumes 2005年第1期38卷 384-389页

作者： Ladislav Körösi Štefan Kozák Department of Automatic Control Systems Faculty of Electrical Engineering and Information Technology SUT Ilkovičova 3 812 19 Bratislava Slovak Republic

The proposed paper deals with modeling and control of continuous-time processes using artificial neural network with orthogonal activation functions, applicable for real-time control. A genetic algorithm has been used to find the optimal neural structure for on-line identification with the best learning algorithm. A moving prediction horizon in the control algorithm found by genetic algorithm has been compared with a constant prediction horizon. The proposed algorithms were verified on practical control problem and have proved a good performance.

关键词： neural-network models neural control optimal control on-line control genetic algorithms

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ON COMPUTING DETERMINANTS OF LARGE SYLVESTER TYPE MATRICES

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IFAC Proceedings Volumes 2005年第1期38卷 880-885页

作者： Petr Kujan Martin HromĈík Michael Ŝebek Department of Control Engineering Faculty of Electrical Engineering Czech Technical University in Prague Centre for Applied Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague Karlovo nam. 13 12135 Prague 2 Czech Republic Centre for Applied Cybernetics Institute of Information Theory and Automation Institute of Information Theory and Automation Pod vodarenskou vezi 4 18208 Praha 8 Czech Republic

This work is devoted to computation of large n-D polynomial determinants with a special structure. Applications involve n-D systems theory (e.g. coprimeness test for two n-D polynomials or the theory of algebraic equations. More specifically, these determinants were exploited in (Chiasson et al. , 2003 b ; Chiasson et al. , 2003 a ) to solve the practical problem of multilevel converter by a special computational procedure. To tackle the concerned problem it is essential to solve a system of polynomial equations with many unknowns. An algorithm was chosen based on elimination theory using resultants leading to the fundamental problem of computing determinants of large Sylvester type matrices with n-D polynomial entries. The aim of this work is to propose and test new numerical algorithms that would make it possible to solve the concerned problems more effectively.

关键词： Polynomial methods Numerical methods Fast Fourier Transform

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HIERARCHICAL MULTIPLE MODELS ADAPTIVE DECOUPLING controlLER APPLIED TO THE WIND TUNNEL SYSTEM

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IFAC Proceedings Volumes 2005年第1期38卷 145-150页

作者： Xin Wang Shao-Yuan Li Zhong-Jie Wang Institute of Information & Control Technology Center of Electrical & Electronic Technology Shanghai Jiao Tong University Shanghai P.R.China 200030 Institute of Automation Shanghai Jiao Tong University Shanghai 200030 Department of Control Science & Engineering Tongji University 200092

关键词： hierarchical multiple models adaptive wind tunnel

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