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American control Conference (ACC)

作者： K. Galkowski W. Paszke B. Sulikowski E. Rogers S. Xu J. Lam D.H. Owens Institute of Control and Computation Engineering University of Zielona Góra Poland Institute of Control and Computation Engineering University of Zielona Gόra Poland Department of Electronics and Computer Science University of Southampton UK Department of Mechanical Engineering University of Hong Kong China Department of Automatic Control and Systems Engineering University of Sheffield UK

In this paper we give new results on the analysis and control of differential linear repetitive processes, which are a distinct class of 2D linear systems of both systems theoretic and applications interest. The new results relate to stability and control in the presence of uncertainty in the process state space model. The family of control laws used has a well defined physical basis in terms of the underlying process dynamics.

关键词： control systems Linear systems Stability analysis Algorithm design and analysis automatic control Iterative algorithms Optimal control System testing control engineering computing computer science

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control of discrete linear repetitive processes with application to a material rolling process

Control of discrete linear repetitive processes with applica...

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European control Conference (ECC)

作者： B. Sulikowski K. Galkowski E. Rogers D. H. Owens Institute of Control and Computation Engineering University of Zielona Góra Poland Department of Electronics and Computer Science University of Southampton Southampton SO17 1BJ UK Department of Automatic Control and Systems Engineering University of Sheffield UK

Repetitive processes are a distinct class of 2D systems of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard or 2D systems theory. Here we give new results on the design of physically based feedback control laws. These results relate to design for performance and are illustrated on data for a model which arises in the modelling of a physical process.

关键词： Stability analysis Process control Asymptotic stability Numerical stability Linear systems Feedforward neural networks Frequency modulation

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Continuous-time system identification of a food extruder: experiment design and data analysis

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IFAC Proceedings Volumes 2003年第16期36卷 609-614页

作者： Liuping Wang Peter J Gawthrop Charlie Chessari Tony Podsiadly Discipline of Electrical Energy and Control Systems School of Electrical and Computer Engineering RMIT University Melbourne Victoria 3000 Australia Centre for Systems and Control and Department of Mechanical Engineering University of Glasgow Glasgow G12 8QQ Scotland Food Science Australia North Ryde Sydney Australia

The introduction of product quality self-regulation to food-cooking extrusion is an important aspect of process control within food manufacturing industries. In order to design an automatic control system for product quality, a mathematical model of the food extruder is required. As first-principles models are difficult to obtain in this context, a food extruder is a good candidate for applying system identification tools. This paper presents the application of continuous time system identification to such a food cooking extruder. More specifically, the reported application features an automated identification experiment apparatus designed using relay feedback control mechanisms and instrumented through existing real time supervisory system for the extruder. Experimental data from the food extruder are obtained and analysed using our identification approach.

关键词： Continuous time systems relay feedback control parameter estimation

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Identifying strength of boards using mechanical modeling and a Weibull-based feature

Identifying strength of boards using mechanical modeling and...

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IEEE Conference on control Technology and Applications (CCTA)

作者： A.A. Saravi P.D. Lawrence F. Lam Robotics and Control Laboratory Department of Electrical and Computer Engineering University of British Columbia Vancouver Canada Department of Wood Science University of British Columbia Vancouver Canada

The most accurate way of identifying the strength of lumber requires destructive testing which is clearly not useful for production of lumber. An intelligent mechanics-based lumber grading system was developed to provide a better estimation of the strength of a board nondestructively. This system processed X-ray-extracted geometric features (of 1080 boards that eventually underwent destructive strength testing) by using physical model of lumber based on finite element methods (FEM) to generate associated stress fields. The stress fields were then fed to a feature-extracting-processor which produced seven strength predicting features. The best strength predicting features were determined from the coefficient of determination (r/sup 2/) between the features and actual strengths of the boards. A coefficient of determination of 0.4732 was achieved by using a Weibul-based feature and using a linear transformation of the same feature to predict the estimated strength, respectively.

关键词： Stress X-ray imaging Robot control Testing Production Solid modeling Intelligent systems Humans Neural networks Councils

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Universal System for Buildings Automation

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IFAC Proceedings Volumes 2003年第1期36卷 19-24页

作者： Vit Lukas Jiri Koziorek Department of Measurement and Control Faculty of Electrical Engineering and Computer Science VŠB - Technical University of Ostrava Address: 17. listopadu No. 15 70833 Ostrava-Poruba Czech Republic

This contribution is dealing with the problems of distributed systems for the building control. The universal system for building automation being developed in department of Measurement and control, VSB-TU Ostrava is described here. The system makes use of the communication network Lonworks and serves for control and mutual interconnection of the building technical equipment. In the frrst part of the contribution the technologies used in the building control sphere are decribed. In the second part the system being developed and laboratory model, on which the system is applied, are described.

关键词： automation communication networks control technology microprocessor control control system design

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Direct Learning control Design for a Class of Linear Time-varying Switched Systems

Direct Learning Control Design for a Class of Linear Time-va...

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International Conference on control and Automation (ICCA)

作者： Jian-Xin Xu P. Korondi Rui Yan Zhi-Hong Guan Department of Electrical and Computer Engineering National University of Singapore Singapore Department of Automation and Applied Informatics Budapest University of Technology and Economics Wuhan China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

In this paper, a direct learning control method for a class of switched systems is proposed. The objective of direct learning is to generate the desired control profile for a newly switched system without any feedback, even if the system may have uncertainties. This is achieved by exploring the inherent relationship between any two systems before and after a switch. The new method is applicable to a class of linear time varying, uncertain and switched systems, when the trajectory tracking control problem is concerned. A numerical simulation demonstrates the effectiveness of the proposed method.

关键词： control design Time varying systems Switched systems control systems Switches Feedback Uncertainty Trajectory Numerical simulation

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Noisy heart sequences filtering by optimal median based operators 5

Noisy heart sequences filtering by optimal median based oper...

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5th IFAC Symposium on Modelling and control in Biomedical Systems 2003

作者： Lukac, Rasto Smolka, Bogdan Zavarsky, Pavol Plataniotis, Kostas N. Venetsanopoulos, Anastasios N. Slovak Image Processing Center Jarkova 343 Dobsina049 25 Slovakia Department of Automatic Control Silesian University of Technology Akademicka 16 Str. Gliwice44-101 Poland Nagaoka University of Technology 1603-1 Kamitomioka Nagaoka940-2188 Japan Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto 10 King's College Road Toronto Canada

Bit errors and impulses introduced into cardiographic image sequences prohibit to process and evaluate the heart dynamics correctly. Thus, biomedical imaging such as vascular imaging and quantification of heart dynamics is closely related to digital filtering. We provide three-dimensional impulse detection based adaptive median filters designed to perform the optimal filtering situation, where the robust median filter affects only noisy samples, whereas the desired image features remains unchanged. The proposed method holds excellent preserving characteristics and takes the advantage of the superposition property despite the nonlinearity of the median filtering. Copyright © 2003 IF AC.

关键词： Median filters

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Plant Uncertainty Contribution to QFT Tracking control Design

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IFAC Proceedings Volumes 2003年第11期36卷 517-522页

作者： M. Gil-Martínez M. García-Sanz System Engineering and Automation Group Electrical Engineering Department University of La Rioja. Luis de Ulloa 20 26004 Logroño SPAIN. Tf.:+34 941 299496 Automatic Control and Computer Science Department Public University of Navarra. Campus Arrosadía s/n 31006 Pamplona SPAIN Tf.:+34 948 16938

Tracking feedback control trade-offs increase dangerously with arbitrarily large uncertainties in the process model. This is shown by the bounds in the QFT domain. In this context, the paper develops a theory on the contribution of the plant uncertainty to the tracking QFT bounds through a serious study of tracking bound formulas. From this, a methodology for uncertainty fragmentation is developed. It hopes to loosen the bound toughness, or the control design trade-offs. Better feedback benefits can be achieved while reducing the high-frequency amplification of noises and disturbances at the plant input at the same time. Different QFT controllers in a controller-scheduler structure should drive different uncertainty boundaries.

关键词： Quantitative Feedback Theory Robust control Uncertain Dynamical Systems

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Robust higher-order iterative learning control for a class of nonlinear discrete-time systems

Robust higher-order iterative learning control for a class o...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Yong-Tae Kim Heyoung Lee Heung-Sik Noh Z.Z. Bien Information & Control Eng. Hankyong National University South Korea Department of Control & Instrumentation Eng. Seoul National University of Technology South Korea Department of Computer Engineering Hyupsung University South Korea Department of Electrical Engineering and Computer Science KAIST South Korea

In this paper is proposed a robust higher-order iterative learning control (ILC) algorithm for discrete-time systems. In contrast to conventional discrete-time learning methods, the proposed learning algorithm is constructed based on both time-domain performance and iteration-domain performance. Also, the proposed learning algorithm use more than one past error in the iteration-domain. It is proved that the proposed method has robustness in the presence of external disturbances and, in absence of all disturbances, the convergence of the proposed learning algorithm is guaranteed. A numerical example is given to show the robustness in the presence of state disturbance and convergence property according to parameters change.

关键词： Robust control Nonlinear control systems control systems Convergence Iterative algorithms Robustness Time domain analysis Instruments computer science Learning systems

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New class of impulsive noise reduction filters based on kernel density estimation

New class of impulsive noise reduction filters based on kern...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： B. Smolka K.N. Plataniotis R. Lukac A.N. Venetsanopoulos Department of Automatic Control Silesian University of Technology Poland The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Toronto ONT Canada Slovak Image Processing Center Dobsina Slovakia Faculty of Applied Science and Engineering University of Toronto Toronto ONT Canada

The paper presents a new filtering scheme for the removal of impulsive noise in color images. It is based on estimating the probability density function for color pixels in a filter window by means of the kernel density estimation method. A quantitative comparison of the proposed filter with the vector median filter shows its excellent ability to reduce noise while simultaneously preserving fine image details.

关键词： Noise reduction Filters Kernel Colored noise Color Histograms Filtering Probability density function Shape Multidimensional systems

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