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6th European control Conference, ECC 2001

作者： Dymkov, M. Gaishun, I. Galkowski, K. Rogers, E. Owens, D.H. Institute of Mathematics National Academy of Sciences of Belarus Belarus Institute of Control and Computation Engineering Technical University of Zielona Gora Poland Department of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom Department of Automatic Control and Systems Engineering University of Sheffield United Kingdom

ISBN: (纸本)9783952417362

Repetitive processes are a distinct class of 2D systems of both practical and theoretical interest. Their essential characteristic is repeated sweeps, termed passes, through a set of dynamics defined over a finite duration with explicit interaction between the outputs, or pass profiles, produced as the process evolves. Experience has shown that these processes cannot be studied/controlled by direct application of existing theory (in all but a few very restrictive special cases). This fact, and the growing list of applications areas, has prompted an on-going research programme into the development of a 'mature' systems theory for these processes for onward translation into reliable generally applicable controller design algorithms. It has long been considered that Volterra operator techniques should have a key role to play in this general area. In this paper, we first present the necessary properties of a Volterra operator representation for the very important sub-class of so-called discrete linear repetitive processes and then use them to develop a characterization of stability in this setting. © 2001 EUCA.

关键词： Linear systems

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A 2D systems approach to iterative learning control based on nonlinear adaptive control techniques

A 2D systems approach to iterative learning control based on...

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： M. French E. Rogers H. Wibowo D.H. Owens Department of Electronics and Computer Science University of Southampton Southampton UK Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

ISBN: (纸本)0780366859

We consider the iterative learning control problem from a 2D systems/adaptive control viewpoint. In particular, it is shown how some fundamental results from nonlinear adaptive control can be successfully applied in the iterative learning control domain under very weak assumptions. Some areas for further research are also briefly discussed.

关键词： Iterative methods Nonlinear control systems control systems Adaptive control automatic control Iterative algorithms computer science systems engineering and theory Robots Manipulators

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On some aspects of discrete equivalents of differential linear repetitive processes

On some aspects of discrete equivalents of differential line...

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IEEE Conference on Decision and control

作者： J. Gramacki A. Gramacki K. Galkowski E. Rogers D.H. Owens Department of Electronics and Computer Science University of Zielona Góra Poland Department of Electronics and Computer Science University of Southampton UK Department of Automatic Control and Systems Engineering University of Sheffield UK

ISBN: (纸本)0780370619

Differential linear repetitive processes are a distinct sub-class of 2D continuous-discrete linear systems which pose problems that cannot (except in a few very restrictive special cases) be solved by the direct application of standard (1D) systems theory and hence by the direct use of a large number of currently-available tools for computer-aided analysis/design. One such area is the construction of discrete approximations to their dynamics. In this paper, we investigate some problems which arise during the discretization of differential linear repetitive processes and develop solutions to them.

关键词： computer science Linear systems computer aided analysis Orbital robotics Robotics and automation Software engineering automatic control systems engineering and theory Stability

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A Comparison of Optimal Iterative Learning control Schemes

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IFAC Proceedings Volumes 2001年第14期34卷 77-82页

作者： M. Rzewuski E. Rogers D.H. Owens Dept. of Electronics and Computer Science University of Southampton Southampton SO17 IBJ UK Department of Automatic Control and Systems Engineering University of Sheffield Sheffield S1 3JD UK

Recent years has seen much progress in the theory and application of iterative learning control schemes for both linear and (classes of) nonlinear dynamics. In the case of the former, many algorithms based on minimizing a suitable cost function have been reported. Here the interest is in the so-called norm optimal approach where the basic philosophy is to compute the control input on the current trial such that the tracking error is reduced in an optimal way without too much deviation from the control input used on the previous trial. This paper compares the performance of a range of controllers arising from use of the norm optimal approach - both stand alone and against alternatives.

关键词： iterative learning control optimal algorithms

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A volterra operator approach to the stability analysis of a class of 2D linear systems

A volterra operator approach to the stability analysis of a ...

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European control Conference (ECC)

作者： M. Dymkov I. Gaishun K. Galkowski E. Rogers D. H. Owens Institute of Mathematics National Academy of Sciences of Belarus Institute of Control and Computation Engineering Technical University of Zielona Gora Poland Department of Electronics and Computer Science University of Southampton Southampton UK Department of Automatic Control and Systems Engineering University of Sheffield UK

Repetitive processes are a distinct class of 2D systems of both practical and theoretical interest. Their essential characteristic is repeated sweeps, termed passes, through a set of dynamics defined over a finite duration with explicit interaction between the outputs, or pass profiles, produced as the process evolves. Experience has shown that these processes cannot be studied/controlled by direct application of existing theory (in all but a few very restrictive special cases). This fact, and the growing list of applications areas, has prompted an on-going research programme into the development of a `mature' systems theory for these processes for onward translation into reliable generally applicable controller design algorithms. It has long been considered that Volterra operator techniques should have a key role to play in this general area. In this paper, we first present the necessary properties of a Volterra operator representation for the very important sub-class of so-called discrete linear repetitive processes and then use them to develop a characterization of stability in this setting.

关键词： Stability analysis Process control Equations Europe Vectors control theory

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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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On the Structure of Singular Discrete Linear Repetitive Processes

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IFAC Proceedings Volumes 2001年第13期34卷 555-559页

作者： K. Galkowski E. Rogers D.H. Owens Institute of Control and Computation Enginrering Technical University of Zielona Gora Poland Dept. of Electronics and Computer Science University of Southampton Southampton S017 1BJ U.K. Department of Automatic Control and Systems Engineering University of Sheffield Sheffield S1 3JD U.K.

Repetitive processes are a distinct class of 2D systems of both theoretical and applications interest. They are characterized by a series of sweeps through a set of dynamics with explicit interaction between the outputs, or pass profiles, produced on successive passes. Their essential unique features are that (i) information propagation is over a finite duration in one of the two separate directions of information propagation; and (ii) the explicit interaction between successive pass profiles can lead to oscillations in the sequence of pass profiles that increase in amplitude in the pass to pass direction. In the case of processes with linear dynamics (either differential or discrete) a reasonably rich systems theory is available for models which are standard (or nonsingular). In this paper, we provide the first substantial results on discrete linear repetitive processes described by a singular state space model.

关键词： Repetitive dynamics discrete dynamics singularity 2D linear systems

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Reducing Memory Access Time in the Real-Time Implementation of Signal Processing and control Algorithms

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IFAC Proceedings Volumes 2000年第6期33卷 23-26页

作者： U. Kabir M.A. Hossain M.O. Tokhi Department of Computer Science University of Dhaka Dhaka-1000 Bangladesh Department of Automatic Control and Systems Engineering The University of Sheffield UK

This paper presents a method of enhancing the execution time of a processor in implementing signal processing and control algorithms, through a process of minimisation of memory access time of the processor. The method is based on the design and corresponding software coding of an algorithm, and thus can be adopted for a variety of real-timesignal processing and control applications. The finite difference simulation algorithm ofa flexible beam is considered to demonstrate the effectiveness of the proposed method. The algorithm is implemented on a general-purpose computing platform, and a comparative performance evaluation of the processor with the proposed method is presented and discussed.

关键词： Finite difference method high performance computing memory management real-time signal processing and control simulation of flexible beams

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On the poles of a class of 2D linear systems

On the poles of a class of 2D linear systems

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IEEE Conference on Decision and control

作者： E. Rogers J. Wood D.H. Owens Department of Electronics and Computer Science University of Southampton UK Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

ISBN: (纸本)0780366387

Repetitive processes are a distinct class of 2D systems of both practical and theoretical interest. We use work in behavioral theory for nD linear systems to characterize poles for the case of so-called discrete linear repetitive processes. A unique feature is that the resulting poles lead to a physically based interpretation of stability for these processes.

关键词： Linear systems Asymptotic stability Polynomials computer science automatic control systems engineering and theory Time measurement Sufficient conditions Kernel Frequency

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Iterative learning control-recent progress and open research problems

Iterative learning control-recent progress and open research...

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IEE Seminar Learning systems for control (Ref. No. 2000/069)

作者： D.H. Owens E. Rogers Head of the Department of Automatic Control and Systems Engineering University of Sheffield UK Department of Electronics and Computer Science University of Southampton UK

The emergence of intelligent control has seen a focus of attention on the ideas of learning control. This paper introduces the current state of the art in the area of iterative learning control (ILC). Together with a general description of the problems that must be addressed, the paper explores the relationship between the performance of learning algorithms and the structure of the system to be controlled. The importance of system's relative degree (pole-zero excess) and the system's zeros are described and the role of prediction in improving performance is stated.

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