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10th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems: Theory and Applications, LSS 2004

作者： Grochonski, M. Brdys, M.A. Gminski, T. Deinrych, P. Department of Automatic Control Gdansk University of Technology ul G Narutowicza 11/12 Gdansk80 952 Poland School of Engineering Department of Electrical Electronic and Computer Engineering University of Birmingham BirminghamB15 2TT United Kingdom

Difficulties occui when one universal control strategy attempts controlling a plant that is under wide range of operating conditions In order to best adopt the control strategy to existing conditions three operational slates: normal, disturbed and emergency are distinguished and the corresponding control strategies are designed Appearance of different control strategies at hand enforces finding a mechanism to switch between them. It can be done in a hard or a soft manner. In case of wastewater systems the second solution is preferable The paper describes two methods of soft switching between control strategies based on Model Predictive control (MPC) as a control technology Supervisory control Level (SuCL) mounted at the top of hierarchical multilevcl-multiiaycr control structure is responsible for the conducting the switching process. The switching instants, switching time and way of switching are parameters to be selected by the SuCL The soft switching concepts were examined based on wastewater system in Kartuzy, Poland. © 2004 IFAC.

关键词： Model predictive control

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Weighted least squares parameter estimation for model predictive control of integrated wastewater systems at medium time scale 10

Weighted least squares parameter estimation for model predic...

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10th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems: Theory and Applications, LSS 2004

作者： Konarczak, K. Rutkowski, T. Brdys, M.A. Gmiriski, T. Department of Automatic Control Gdansk University of Technology ul .G. Narutowicza 11/12 Gdansk80-952 Poland School of Engineering Department of Electronic Electrical and Computer Engineering University of Birmingham BirminghamB15 2TT United Kingdom

The paper presents formulation and implementation of Weighted Least Squares algorithm with moving measurement window for a grey box model parameters estimation purposes. The grey box of a biological reactor dynamics is used by Model Predictive controller to control integrated wastewater treatment system at medium time scale. The parameter estimation Weighted Least Squares algorithm is validated by simulation based on recently developed and calibrated model of integrated wastewater treatment system in Kartuzy, Poland. © 2004 IFAC.

关键词： Parameter estimation

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Set-bounded joined parameter and state estimation for model predictive control of integrated wastewater treatment plant systems at medium time scale 10

Set-bounded joined parameter and state estimation for model ...

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10th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems: Theory and Applications, LSS 2004

作者： Rutkowski, T. Brdys, M.A. Konarczak, K. Gminski, T. Department of Automatic Control Gdansk University of Technology ul. G. Narutowicza 11/12 Gdansk80 952 Poland School of Engineering Department of Electronic Electrical and Computer Engineering University of Birmingham BirminghamB15 2TT United Kingdom

The paper describes set-bounded parameters and state estimation component for Model Predictive control of integrated wastewater treatment plant at medium time scale purposes. This is one of the components within Intelligent Hierarchical control Structure designed in order to cope with problems of the controlled system such us: multiple time scale, highly non linear dynamics, small number of on-line measurements etc. The set-bounded joined parameter and state estimation algorithm generates robust estimates of these parameters and state for Model Predictive control purposes. Both, the estimation algorithm and the Model Predictive controller utilise a grey-box model of controlled plant dedicated for medium time scale. The set-bounded joined state and grey-box model parameters estimation algorithm is validated by simulation. The data were taken partly from real data records gathered at Kartuzy WWTP in Poland and partly from the Kartuzy plant simulation based on recently developed and calibrated plant model. © 2004 IFAC.

关键词： Robust control

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Model predictive controller for integrated wastewater treatment systl 10

Model predictive controller for integrated wastewater treatm...

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10th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems: Theory and Applications, LSS 2004

作者： Gminski, Tomasz Brdys, Mietek A. Grochowski, Michal Drewa, Marcin School of Engineering Department of Electronic Electrical and Computer Engineering University of Birmingham BirminghamB15 2TT United Kingdom Department of Automatic Control Gdansk University of Technology ul. G.Narutowicza 11/12 Gdansk80 9 52 Poland

Optimising control of wastewater treatment systems (WWTS), allowing for cost savings while fulfilling the effluent discharge limits over long period requires application of advanced control techniques. Model Predictive control (MPC) is a very suitable control technology for a synthesis such a truly multivariable controller that can handle constraints and accommodate model-based knowledge combined with hard measurements. A hierarchical architecture is used to structure the MPC controller into the functional Supervisory, Optimising and Follow up levels. The Optimising control Level is further decomposed into three layers operating in different time scales: slow, medium and fast. The paper considers MPC controller operating in medium time scale. As it is impossible to efficiently control the plant under all possible influent conditions, three dedicated control strategies were designed. The controller performance was validated by simulation based on Kartuzy WWTS data records. Recently developed mechanism for soft switching between different MPC control strategies was used in the simulations. © 2004 IFAC.

关键词： Model predictive control

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Image fusion based visible watermarking using dual-tree complex wavelet transform

Image fusion based visible watermarking using dual-tree comp...

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2nd International Workshop on Digital Watermarking, IWDW 2003

作者： Hu, Yongjian Huang, Jiwu Kwong, Sam Chan, Y.K. School of Information Science and Technology Sun Yat-Sen University Guangzhou510275 China Department of Automatic Control Engineering South China University of Technology Guangzhou510641 China Department of Computer Science City University of Hong Kong Kowloon Hong Kong

ISBN: (纸本)354021061X

Digital watermarking has been researched extensively due to its potential use for data security and copyright protection. Much of the literature has focused on developing invisible watermarking algorithms. However, not much has been done on visible watermarking. A visible watermark is apparently needed for copyright notification. This work proposes a new framework of visible watermarking based on image fusion, a common technique used in combining images acquired from different modalities. To better protect the host features and increase the robustness of the watermark, the dual-tree complex wavelet transform (DT-CWT) is used. A new classification strategy is proposed to classify complex wavelet coefficients into 6 classes with different perceptual significance. The embedding decision can be made based on the classification information. Small watermark coefficients are prohibited from embedding. In the host edges, the insertion of watermark energy is controlled by using the inversely proportional embedding scheme to better preserve the sensitive region, while in other regions, the embedding strength becomes stronger as texture activity increases. This work also addresses the problem of low-pass subband watermark embedding, which is a special issue of visible watermarking. Experimental results show that the proposed algorithm yields significantly superior image quality than the current DCT-based method. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Image watermarking

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LMI based output feedback control of discrete linear repetitive processes

LMI based output feedback control of discrete linear repetit...

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American control Conference (ACC)

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

Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or 2D systems theory. Here we give new results on the relatively open problem of the design of physically based control laws. These results are for the sub-class of so-called discrete linear repetitive processes, which arise in applications areas such as iterative learning control.

关键词： Output feedback Linear feedback control systems Iterative algorithms Optimal control automatic control automatic generation control Stability analysis Vectors Linear systems control systems

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H/sub /spl infin// control of differential linear repetitive processes

H/sub /spl infin// control of differential linear repetitive...

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American control Conference (ACC)

作者： W. Paszke K. Galkowski E. Rogers D.H. Owens Institute of Control and Computation Engineering University of Zielona Góra Zielona Gora Poland School of Electronics and Computer Science University of Southampton Southampton UK Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

Repetitive processes are a distinct class of two-dimensional systems (i.e., information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or two-dimensional (2D) systems theory. Here, we give new results on the relatively open problem of the design of physically based control laws using an H/sub /spl infin// setting. These results are for the sub-class of so-called differential linear repetitive processes, which arise in application areas such as iterative learning control.

关键词： Linear matrix inequalities Symmetric matrices State-space methods Vectors Stability Robust control Boundary conditions Sufficient conditions Differential equations control systems

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Weichted Least Squares Parameter Estimation for Model Predictive control of Integrated Wastewater Systems at Medium Time Scale

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IFAC Proceedings Volumes 2004年第11期37卷 273-279页

作者： Konarczak K Rutkowsld T Brdys M.A Gmiński T Department of Automatic Control Gdansk University of Technology ul.G. Nanttowicza 11 ¡2 80-952 Gdansk Poland School of Engineering Department of Electronic Electrical and Computer Engineering The University of Birmingham Birmingham B15 2TT UK

关键词： Models waste treatment parameter estimation Least Squares Kaiman filtering biotechnology water pollution

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Experimental evaluation of a new repetitive control algorithm on a non-minimum phase spring-mass-damper system

Experimental evaluation of a new repetitive control algorith...

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2004 IFAC Workshop on Adaptation and Learning in control and Signal Processing, ALCOSP 2004 and IFAC Workshop on Periodic control Systems, PSYCO 2004

作者： Freeman, C.T. Hätönen, J.J. Lewin, P.L. Owens, D.H. Rogers, E. School of Electronics and Computer Science University of Southampton University Road SouthamptonSO17 1BJ United Kingdom Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street SheffieldS1 3JD United Kingdom Systems Engineering Laboratory University of Oulu University of Oulu P.O. BOX 4300 FIN-90014 Finland

Recently, a novel optimality based Repetitive control algorithm was proposed in (Hätönen et al., 2003). According to the convergence analysis carried out in that paper, the algorithm will result in asymptotic convergence for an arbitrary discrete-time LTI plant and a T -periodic reference. However, the performance of the algorithm was tested only using simulation studies. In order to rigorously test how the algorithm performs with real systems, in this paper the algorithm is implemented on a non-minimum phase spring-mass-damper system. The results are very satisfactory, because the algorithm results in near perfect tracking with this rather demanding plant type. Copyright © 2004 IFAC.

关键词： Non-Minimum Phase Systems Optimal control Polynomial Systems Theory Repetitive control

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Practical implementation of a model inverse iterative learning controller

Practical implementation of a model inverse iterative learni...

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2004 IFAC Workshop on Adaptation and Learning in control and Signal Processing, ALCOSP 2004 and IFAC Workshop on Periodic control Systems, PSYCO 2004

作者： Ratcliffe, J.D. Harte, T.J. Hätönen, J.J. Lewin, P.L. Rogers, E. Owens, D.H. School of Electronics and Computer Science University of Southampton University Road SouthamptonSO17 1BJ United Kingdom Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street SheffieldS1 3JD United Kingdom Systems Engineering Laboratory University of Oulu University of Oulu P.O. BOX 4300 FIN-90014 Finland

In this paper, a new model inverse optimal iterative learning control algorithm is practically implemented on an industrial gantry robot. The algorithm has only one tuning parameter which can be adjusted to provide a balance between convergence speed and robustness. Results show that the algorithm is capable of learning the required trajectory in very few iterations. However at this convergence rate the lack of robustness is a major issue. Appropriate use of the tuning parameter is shown to greatly increase the algorithm robustness as demonstrated by tests which successfully reach 600 iterations. Copyright c 2004 IFAC. Copyright © 2004 IFAC

关键词： Iterative methods

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