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American control Conference (ACC)

作者： C.-M. Fransson B. Lennartson T. Wik P.-O. Gutman Control and Automation Laboratory Department of Signals and Systems Chalmers University of Technology Goteborg Sweden Faculty of Agricultural Engineering Technion-Israel Institute of Technology Haifa Israel

A procedure is presented for optimizing weight functions, when determining /spl Hscr//sub /spl infin// controllers by loop shaping for SISO plants with model uncertainty. The optimization is combined with an evaluation method to give a final tuning of the controller. The basic idea of both the optimization and the parameter tuning is to formulate separate criteria for low, mid and high frequency closed loop properties. By doing so, the trade off between stability margins, high frequency robustness and low frequency performance is elucidated and, hence, the final choice of parameters is facilitated. The resulting controller has the inherent optimality features of /spl Hscr//sub /spl infin// controllers as well as a robustness to explicit plant uncertainties, guaranteed by the use of Horowitz bounds. In the procedure, low frequency performance is optimized subject to these bounds and a restricted high frequency loop gain. The method is applied to two different uncertain plants, and the results are evaluated in terms of robust performance and evaluated against optimized PID controllers. The comparison shows that with identical tuning parameters and for a given control activity the /spl Hscr//sub /spl infin// controllers achieve better low frequency performance at the same time as the maximum sensitivity is superior.

关键词： Tuning Uncertainty Optimization methods Frequency locked loops Robust stability Optimal control Robust control Shape control Performance gain Three-term control

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Hybrid leader-follower and fuzzy-Petri-net traffic rate control and supervision in network systems

Hybrid leader-follower and fuzzy-Petri-net traffic rate cont...

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International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service (TELSIKS)

作者： G.M. Dimirovski Yuanwei Jing Siying Zhang Institute of Automation & Systems Engg. Faculty of Electical Engineering SS Cyril and Methodius University Skopje Macedonia Department of Computer Engineering Faculty of Engineeing Dogus University Istanbul Turkey Institute of Control Theory School of Information Science & Engineering Northeastern University Shenyang Liaoning China

This paper addresses networking and traffic control problems in network systems along with the potential for introducing soft-computing applications at supervisory control level. The incentive Stackelberg strategy control concept was introduced to the networking model that comprises subsidiary systems of users and of network. A linear strategy is proposed for the elastic traffic problem, and results are demonstrated and illustrated via Kelly's (1997) example. The presented method is extended to the non-elastic traffic problem and results are also illustrated via a slightly modified Kelly example. Ways of employing combined analytical and soft-computing approaches and techniques in a hybrid framework have been investigated. A fuzzy-Petri-net supervisor is proposed to implement the strategic decision and control layer. Insofar obtained results are rather encouraging, and this research continues further towards possible implementation as well as some open theoretical issues.

关键词： Communication system traffic control control systems Intelligent networks Game theory Telecommunication control Traffic control Routing control system synthesis Supervisory control Pricing

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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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Fuzzy Adaptive Output Tracking control of a Class of Composite Systems

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IFAC Proceedings Volumes 2001年第3期34卷 81-84页

作者： Bin Liu Yuanwei Jing Siying Zhang G.M. Dimirovski T.D. Kolemishevska Inst. of Control Science School of Information Science & Engg. Northeastern University Po. Box 321 Shenyang Liaoning 110006 P R. of China Department of Computer Engineering Faculty of Engineering DOGUS University Acibadem Kadikoy TR-81000 Istanbul Rep. of Turkey FAX#: + 90-216-327-9631 Inst.of Automation & Systems Engg. Faculty of EE SS Cyril #x0026 Methodius University Karpos 2 b.b. MK-91000 Skopje Rep. of Macedonia

In this paper the output-tracking problem of a class of composite nonlinear systems is studied. Composite system can be represented solely by models on the grounds of its inputs and measurable outputs. It is assumed that (i) the plant system belongs to aclass of composite non linear systems, and that the fuzzy logic control system applied can efficiently use adjustable parameters to approximate its non linear system function. The new theorem guarantees the synthesized indirect fuzzy adaptive control does ensure stable output tracking and possesses the ability to reduce the number of fuzzy rules.

关键词： Adaptive control composite systems fuzzy control MIMO systems nonlinear systems

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Optimal Pricing Strategies Based on Time Delay in Multi-Service Networks

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IFAC Proceedings Volumes 2001年第3期34卷 105-110页

作者： Fude Jin Yuanwei Jing Zhianhua Zhou G.M. Dimirovske K. Sohraby Institute of Control Science School of Information Science & Engineering Northeastern University Shenyang Liaoning 110006 P.R. of CHINA +86-24/2389-3138 Inst. of Automation & Systems Engg. Faculty of EE SSs. Cyril & Methodius University Karpos 2 B.B. P.D.Box 574:MK-1000 Skopje Rep.of Macedonia Fax# +90-216/327-9631 Dept. of Computer Science & Telecommunications University of Missouri-Kansas Kansas City M064110 USA

The problem of the pricing equilibrium in multi-service priority-based networks isstudied by using Stackelberg game theory. Some concepts of the game theory were revisited first. Then, the existing results on two-user, twolevel Nash problem was reviewed briefly. Following this background, a new one-leader, two-level, two-user incentive Stackelberg strategy was derived and proved by employing the time delay involved.

关键词： Communication networks game theory incentives optimal systems priority Stackelberg game

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Regularization and validation of neural network models of nonlinear systems

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e & i Elektrotechnik und Informationstechnik 2000年第1期117卷 24-31页

作者： I. Petrović M. Baotić N. Perić Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering in Automation University of Zagreb Zagreb Croatia

A characteristic feature of the neural network models is the large number of parameters. A model offering many parameters usually gives rise to problems, and the variance contribution to the modeling error might be very high. Therefore, it is crucial to find the model with the optimal number of parameters. In this paper two techniques of selection of the optimal number of model parameters are described and compared: explicit and implicit regularization techniques. Model validation forms the final stage of an identification procedure with the aim of assessing objectively whether the identified model agrees sufficiently well with the observed data. In this paper the reliability of the correlation-based validation tests and the χ2-test is analyzed.

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Adaptive Neuro controller for a Precise Maneouvring of Underwater Vehicle

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IFAC Proceedings Volumes 2000年第21期33卷 173-178页

作者： Zoran Vukić Bruno Borović Boris Tovornik Department of Control and Computer Engineering in Automation University of Zagreb Control Engineering Department Brodarski institute d.o.o. Institute of Automation University of Maribor Faculty of Electrical Engineering and Computer Science

A neuro controller for high precision manoeuvring of underwater vehicles require special attention to a number of factors including thruster and vehicle’s nonlinearities, couplings which exist between various degrees of freedom as well as effects of the sea currents. The neuro control system for underwater vehicle maneouvring described here is based on the conventional controller supported with the so called adaptive neural network.

关键词： neural networks underwater vehicle trajectory guidance

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Pole Placement controller Design Based on Fuzzy Process Model

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IFAC Proceedings Volumes 2000年第28期33卷 219-224页

作者： Robert Cupec Nedjeljko Perić Ivan Petrović Department of Control and Computer Engineering in Automation Faculty of Electrical Engineering and Computing university of Zagreb Unska 3 10000 Zagreb Croatia

An explicit self-tuning controller based on the Takagi-Sugeno fuzzy model of the process is proposed. The fuzzy model is represented as a linear regression model whose parameters are functions of some of the process variables. Such a model can be considered as a linear time-varying model whose parameter values are known at every moment. The pole placement design procedure modified for time-varying systems is applied to obtain the polynomial controller parameters that provide the desired closed-loop poles. The proposed algorithm is very simple, and thus suitable for on-line controller design in adaptive control systems.

关键词： fuzzy control fuzzy modeling adaptive control

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Flat-based controlled fed-batch fermentation of the bacterium Photorhabdus luminescens

Flat-based controlled fed-batch fermentation of the bacteriu...

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IEEE Conference on control Technology and Applications (CCTA)

作者： P. Seydel H. Rock Faculty of Engineering Chair for Automation and Control Engineering Christian-Albrechts University Kiel Germany

In this paper, a model based fed-batch strategy for the cultivation of the bacterium Photorhabdus luminescens is proposed. The development of an appropriate trajectory for bacterial growth and substrate feed rate can be obtained using the theory of flat systems introduced by Fliess et al. (1992). To avoid deviations from a desired trajectory caused by model uncertainties or disturbances, a nonlinear controller is presented allowing closed loop control of the fermentation process.

关键词： Microorganisms Mathematical model Symbiosis Automatic control Nonlinear systems Feeds Biological system modeling Chemicals Insects Nonlinear dynamical systems

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A Knowledge-Base Generating Fuzzy-Neural controller

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IFAC Proceedings Volumes 2000年第28期33卷 207-212页

作者： Ivan Petrović Kristijan Maček Nedjeljko Perić Department of Control and Computer Engineering in Automation Faculty of Electrical Engineering and Computing University of Zagreb Unska 3 10000 Zagreb Croatia

This paper presents a modification to the Kandadai and Tien’s learning algorithm for tuning a fuzzy-neural controller that is able to automatically generate a knowledge base. Tuning is based on reinforcements from a dynamical system, thus giving a pseudosupervised learning scheme using error backpropagation. Originally, a weak reinforcement in the form of a binary failure signal was assumed which proved to be insufficient in terms of steady-state error. Therefore, a continuous reinforcement signal is applied enabling the system to correct the error as well as decreasing the overall control effort in the learning phase.

关键词： expert systems intelligent control fuzzy logic neural networks

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