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American control Conference (ACC)

作者： Xue Anke Jiang Nan Sun Youxian Automation Department Hangzhou Institute of Electronics Engineering Hangzhou China Institute of industrial Process Control Zhejiang University of Technology Hangzhou China

The paper is concerned with the design of robust guaranteed cost controller with H/sub /spl infin//-/spl gamma/ disturbance attenuation performance for linear systems with norm bounded parameter uncertainties and dist... 详细信息

关键词： Robust control Attenuation Cost function control systems Robustness Riccati equations Optimal control Upper bound Uncertainty Linear systems

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How to determine the minimum number of rules to achieve given accuracy

How to determine the minimum number of rules to achieve give...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Feng Wan Li-Xin Wang He-Yun Zhu You-Xian Sun Department of Electrical & Electrical Engineering Hong Kong University of Science and Technology Hong Kong China Institute of Industrial Process Control University of Zhejiang Hangzhou Zhejiang China

ISBN: (纸本)078037293X

Fuzzy systems have been proved to be universal approximators, yet a large number of fuzzy rules may be needed for high approximation accuracy. In this paper, we consider how to determine the minimum number of fuzzy rules required in a fuzzy system for approximation to achieve a given accuracy and how to construct this fuzzy system when there are only a limited number of input-output data pairs of the unknown system. The key point is to partition the input space nonuniformly. In particular, a tunnel algorithm is utilized for the single-input case. Numerical examples are given to demonstrate the proposed idea and algorithm.

关键词： Fuzzy systems Partitioning algorithms Approximation error electrical equipment industry Industrial control process control Fuzzy control Shape Permission

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Generating persistently exciting inputs for nonlinear dynamic system identification using fuzzy models

Generating persistently exciting inputs for nonlinear dynami...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Feng Wan Li-Xin Wang He-Yun Zhu You-Xian Sun Department of Electrical& Electrical Engineering Hong Kong University of Science and Technology Hong Kong China Institute of Industrial Process Control University of Zhejiang Hangzhou Zhejiang China

This article addresses parameter convergence problem in identification of nonlinear dynamic systems using fuzzy models. We first establish persistent excitation conditions and then propose several detailed algorithms to generate input signals that guarantee the convergence of the parameter estimates in the fuzzy system models to the true values in identifications of second-order nonlinear moving-average and auto-regressive-moving-average systems. Numerical example is given to illustrate the ideas and results.

关键词： Nonlinear dynamical systems System identification Fuzzy systems Nonlinear control systems Parameter estimation Signal generators Signal processing Convergence Fuzzy sets electrical equipment industry

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Robust PI and PID controllers including Smith predictor structure

Robust PI and PID controllers including Smith predictor stru...

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American control Conference (ACC)

作者： B. Kristiansson B. Lennartson Department of Electrical and Computer Engineering Chalmers Lindholmen Goteborg Sweden Department of Signals and Systems Control and Automation Laboratory Chalmers University of Technology Goteborg Sweden

In this paper PI and PID controllers augmented by a Smith predictor structure are compared to ordinary PI and PID controllers, for plants with medium and great time delays. The comparison is based an a systematic evaluation method, where both robustness and performance aspects in different frequency regions are taken into account. The results show that a Smith predictor increases performance somewhat for a PID controller when the time delay is moderate. For great time delays, however, the improvement is insignificant. An important remark is that it is necessary to include the predictor structure in the design to get acceptable robustness properties. For a PI controller the benefits from a predictor are mostly small or negligible independent of time delay. Most important is, however that a derivative part obviously will bring significantly greater improvement than a Smith predictor to a system with a PI controller. This result is somewhat surprising, since Smith predictors are normally used together with PI and not with PID controllers. Furthermore, it is sometimes argued that it is no use to include derivative action for plants with significant time delay.

关键词： Robust control Three-term control control systems Delay effects Automatic control Frequency Robustness Robust stability automation Pi control

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One-step-ahead adaptive control for a general class of nonlinear dynamic systems based on fuzzy models

One-step-ahead adaptive control for a general class of nonli...

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American control Conference (ACC)

作者： Feng Wan Li-xin Wang Youxian Sun Department of Electrical and Electronic Engineering Hong Kong University of Science and Technology Hong Kong China The Institute of Industrial Process Control Zhejiang University of Technology Hangzhou Zhejiang China

A one-step-ahead adaptive control scheme based on fuzzy models is presented for a class of nonlinear dynamic systems which have no restriction on the structure. The specific features of the fuzzy systems are taken into consideration. The proposed method has the following properties: 1) by properly designing the fuzzy system, the modeling error converges to an error band which can be made arbitrarily small; and 2) with mild assumptions, the tracking error of the closed-loop system is guaranteed within an /spl epsiv/-neighborhood of zero and the stability is ensured. Tests on the data from a real steel-heating furnace are given to show the effectiveness of the scheme.

关键词： Adaptive control Fuzzy control Fuzzy systems Autoregressive processes Nonlinear control systems Nonlinear dynamical systems control systems electrical equipment industry Nonlinear systems Feedback

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On simulation based analysis and synthesis of hierarchical network sturctures 6

On simulation based analysis and synthesis of hierarchical n...

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6th European control Conference, ECC 2001

作者： Tanevska, Dijana J. Dimirovski, Georgi M. Stankovski, Mile J. Jing, Yuanwei Makedonski Telekomunikacii AD Orce Nikolov Str. b.b. SkopjeMK-91000 Macedonia Inst. of Automation and Systems Engg. Faculty of Electrical Engg. SS Cyril and Methodius University SkopjeMK-1000 Macedonia Department of Computer Engg. Faculty of Engineering DOGUS University Kadikoy-IstanbulTR-81010 Turkey Dept. of Automatic Control and Control Eng. School of Information Science and Engineering Northeastern University Shenyang Liaoning110006 China

ISBN: (纸本)9783952417362

Analysis of complex systems such as hierarchically structured network systems that are employed in modelling and analysis various aspects and issues of control and management in telecommunications is investigated. Theory of graphs and binary matrices appear to be most suitable tools for modelling the overall structure of complex systems, in general, and of systemic hierarchies, in particular. A systematic methodology has been developed for computer simulation analysis and detecting general hierarchies in communications networking as well as for synthesis of system hierarchies. This methodology is an improved extension of Warfield's technique. © 2001 EUCA.

关键词： Discrete event simulation

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Image-based visual feedback control of a dual-arm robot

Image-based visual feedback control of a dual-arm robot

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Y.T. Kim S.C. Fan S.H. Han H.S. Go Departmentof Mechanical Design Graduate School of Kyungnam University Masan South Korea Department of Control Engineering Beijing Aeronautics and Astronautics University China Division of Mechanical and Automation Engineering Kyungnam University Masan South Korea Division of Electrical and Electronics Engineering Kyungnam University Masan South Korea

ISBN: (纸本)0780370902

In this paper, the authors present a new approach to visual feedback control using image-based visual servoing with stereo vision. In order to control the position and orientation of a robot with respect to an object, a new technique is proposed using a binocular stereo vision. The stereo vision enables one to calculate an exact image Jacobian not only at around a desired location, but also at the other locations. The suggested technique can guide a robot manipulator to the desired location without giving such priori knowledge as the relative distance to the desired location or the model of an object, even if the initial positioning error is large. This paper describes a model of stereo vision and how to generate feedback commands. The performance of the proposed visual servoing system is illustrated by the simulation and experimental results and compared with the case of conventional method for an assembling robot.

关键词： Feedback control Cameras Visual servoing Stereo vision Robot vision systems Robotics and automation Jacobian matrices Robotic assembly Robot control Calibration

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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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An experimental demonstration of recent results for spatially distributed control systems

An experimental demonstration of recent results for spatiall...

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American control Conference (ACC)

作者： G.E. Stewart P. Baker D.M. Gorinevsky G.A. Dumont Department of Electrical and Computer Engineering University of British Columbia Vancouver BC Canada Vancouver Operations Honeywell Industrial Automation and Control North Vancouver BC Canada One Results Way Honeywell Aerospace Research Laboratories Cupertino CA USA

This work considers recent theoretical results for dynamical systems distributed in one spatial dimension. An application is presented for an industrial papermaking control system that had been experiencing frequent closed-loop instability problems. Two-dimensional frequency domain analysis uncovered a very small robust stability margin in the region corresponding to qualitative observations of the instability. A two-dimensional loop shaping technique was then used to redesign the feedback controller to obtain a closed-loop system with an acceptable stability margin. The system was observed to remain stable over the course of four days of closed-loop operation.

关键词： Distributed control Robust stability electrical equipment industry Industrial control Adaptive control Pulp and paper industry control systems Frequency domain analysis Mathematical model Paper making machines

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Fuzzy logic control of coal blending

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IFAC Proceedings Volumes 2000年第22期33卷 475-479页

作者： Stanisław Cierpisz Adam Heyduk Silesian University of Technology Department of Electrical Engineering and Process Control in Mining

On-line nuclear meters have been in use in the coal industry for many years. They have been utilised for coal quality monitoring, in the control systems for coal blending, or for separating coals in the heavy media separation process. Their operation is based on the scattering or the absorption of incident gamma radiation, and the derived density or ash value is the result of a time-averaged measurement. In this paper, dynamic models of ash monitors have been presented and discussed. The analysis of monitors with constant measurement time shows that it is possible to determine optimal time for which the dynamic error is the smallest. The analysis also shows that the best results are given by the monitors in which the measurement time is variable and adap to changes of the input signal. The fuzzy logic has been applied to control ash monitor operation. An example of a coal blending control system which stabilises coal quality of the blend with the use of the fuzzy ash monitor has been analysed.

关键词： fuzzy systems measurement noise filter banks filtering techniques

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