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Hierarchical model predictive control of integrated quality and quantity in drinking water distribution systems

Urban Water Journal 2005年第2期2卷 125-137页

作者： Duzinkiewicz, K. Brdys, M. A. Chang, T. Department of Control Engineering Faculty of Electrical Engineering and Automatic Control Gdánsk University of Technology. G. Narutowicza 11/12 Gdánsk 80-952 Poland Department of Electronic Electrical and Computer Engineering School of Engineering The University of Birmingham Birmingham B15 2TT UK

An integrated approach to control of quantity and quality in water supply and distribution systems is proposed. The integrated control consists in optimising the operational cost, meeting a demand on water of desired quality and maintaining the system constraints. This constrained optimising control problem is complex due to nonlinearities, large dimension, output constraints, mixed-integer structure of the variables involved, at least two time scales in the system dynamics and an uncertainty. A sub-optimal two-level hierarchical control structure is proposed that allows incorporating the desired controller functions and yet making the synthesis of these functions possible. The algorithms for implementing the functionalities are proposed and discussed. Detail design of the lower level controller is presented and investigated. The controller performance is validated by simulation. [ABSTRACT FROM AUTHOR]

关键词： Bounding method Chlorine residuals Constraints Predictive control Transport delay Uncertain dynamic systems Water quality control

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Adaptive H∞ -Contro1 Design for a Class of LPV Systems

Adaptive H∞ -Contro1 Design for a Class of LPV Systems

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IEEE Conference on Decision and control

作者： H.R. Karimi B. Moshiri P.J. Maralani B. Lohmann Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering Faculty of Engineering University of Tehran Tehran Iran Institute of Automatic Control Technical University Munich Munich Germany

In this paper, we focus on the issue of adaptive H ∞ -control design for a class of linear parameter-varying (LPV) systems based on the Hamiltonian-Jacobi-Isaac (HJI) method. By combining the idea of polynomially parameter-dependent quadratic functions and vector projection method to derive an adaptive H ∞ -control, sufficient conditions with high precision are given to guarantee both robust asymptotic stability and disturbance attenuation of the LPV systems with unknown constant parameters. The applicability of the proposed design method is illustrated on a simple example.

关键词： Robust stability Polynomials Linear matrix inequalities Symmetric matrices Attenuation Asymptotic stability Sufficient conditions automatic control Programmable control Adaptive control

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H//sub/spl infin// control of linear parameter-dependent state-delayed systems

H//sub/spl infin// control of linear parameter-dependent sta...

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IEEE Conference on control Technology and Applications (CCTA)

In this paper, we deal with the issue of robust delay-independent asymptotic stability and robust disturbance attenuation problem for linear parameter-dependent systems. Using Hamiltonian-Jacoby-Isaac approach, a parameter-dependent LMI optimization is obtained. It is shown that by utilizing polynomial parameter-dependent quadratic Lyapunov functions, a parameter-dependent LMI optimization problem is derived. Therefore, state feedback control is determined by solving a parameter-independent LMI. Finally, the applicability of the proposed design is illustrated on a simple example

关键词： control systems Lyapunov method Robust stability Process control Polynomials Attenuation Linear systems Sufficient conditions Vectors Intelligent control

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A robot-assisted surgery system for spinal fusion

A robot-assisted surgery system for spinal fusion

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作者： Chung, Goo Bong Lee, Soo Gang Kim, Sungmin Yi, Byung-Ju Kim, Whee-Kuk Oh, Se Min Kim, Young Soo Park, Jong Oh, Seong Hoon School of Electrical Engineering and Computer Science Hanyang University Korea Republic of Departmen of Control and Instrumentation Engineering Korea University Korea Republic of Automation R and D Center LG Indestrial Systems Co. LTD. Korea Republic of College of Medicine Hanyang University Korea Republic of Department of Biomedical Engineering Hanyang University Korea Republic of Division of Electrical and Computer Engineering Hanyang University Korea Republic of

ISBN: (纸本)0780389123

The goal of this work is to develop a robot-assisted surgery system for spinal fusion, which is composed of a robot, a surgical planning system, and an optical tracking system. The system plays roles of assisting surgeon for inserting a pedicle screw in spinal fusion. Compared to pure navigation systems as well as conventional methods for spinal fusion, it is able to achieve better accuracy through compensating for the portending movement of the surgical area. Furthermore, the robot can position and guide needles, drills, and other surgical instruments or conducts drilling/screwing directly. In preoperative surgery, the desired entry point, orientation, and depth of surgical tools for pedicle screw insertion are determined by the surgical planning system based on CT or MR images. Intra-operatively, the position information on the surgical instruments and the targeted surgical areas are obtained by the tracking system and, using that information, a robot conducts the preplanned operation depending on its role while compensating the movement of the surgical area. Two exemplary experiments employing the developed robot-assisted surgery system are conducted. © 2005 IEEE.

关键词： Navigation systems

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Feature selection and combination criteria for improving predictive accuracy in protein structure classification

Feature selection and combination criteria for improving pre...

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BIBE 2005: 5th IEEE Symposium on Bioinformatics and Bioengineering

作者： Lin, Chun Yuan Lin, Ken-Li Huang, Chuen-Der Chang, Hsiu-Ming Yang, Chiao Yun Lin, Chin-Teng Tang, Chuan Yi Hsu, D. Frank Institute of Molecular and Cellular Biology National Tsing Hua University Hsinchu Taiwan Brain Research Center National Tsing Hua University Hsinchu Taiwan Department of Computer Science National Tsing Hua University Hsinchu Taiwan Department of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan Computer Center Chung Hua University Hsinchu Taiwan Department of Electrical Engineering Hsiuping Institute of Technology Tachung Taiwan Department of Computer and Information Science Fordham University New York NY 10023 United States

ISBN: (纸本)0769524761

The classification of protein structures is essential for their function determination in bioinformatics. The success of the protein structure classification depends on two factors: the computational methods used and the features selected. In this paper, we use a combinatorial fusion analysis technique to facilitate feature selection and combination for improving predictive accuracy in protein structure classification. When applying these criteria to our previous work, the resulting classification has an overall prediction accuracy rate of 87% for four classes and 69.6% for 27 folding categories. These rates are significantly higher than our previous work and demonstrate that combinatorial fusion is a valuable method for protein structure classification. © 2005 IEEE.

关键词： Proteins

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Fast technique of impulsive noise removal in multichannel images

Fast technique of impulsive noise removal in multichannel im...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： B. Smolka A. Chydzinski R. Lukac K.N. Plataniotsis A.N. Venetsanopoulos Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Toronto ONT Canada

In this paper a novel approach to the impulsive noise removal in color images is presented. The proposed technique employs the switching scheme based on the impulse detection mechanism using the so called peer group concept. Compared to the vector median filter, the proposed technique consistently yields better results in suppressing both the random-valued and fixed-valued impulsive noise. The main advantage of the proposed noise detection framework is its enormous computational speed, which enables efficient filtering of large images in real-time applications.

关键词： Nonlinear filters Vectors Colored noise Color Noise reduction automatic control computer science Strontium Educational institutions Filtering

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Adaptive soft-switching filter for impulsive noise suppression in color images

Adaptive soft-switching filter for impulsive noise suppressi...

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13th European Signal Processing Conference, EUSIPCO 2005

作者： Smolka, B. Bieda, R. Plataniotis, K.N. Lukac, R. Silesian University of Technology Department of Automatic Control Akademicka 16 Str. 44-100 Gliwice Poland Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto 10 King's College Road Toronto ON M5S 3G4 Canada

ISBN: (纸本)1604238216

In this paper a new class of filters designed for the removal of impulsive noise in color images is presented. The proposed filter class is based on the nonparametric estimation of the density probability function of pixels in a sliding filtering window. The comparison of the new filtering method with the standard techniques used for impulsive noise removal, indicates good noise removal capabilities and excellent structure preserving properties.

关键词： Impulse noise

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FAULT DETECTION FILTER FOR NONLINEAR SYSTEMS USING LINEAR APPROXIMATIONS

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IFAC Proceedings Volumes 2005年第1期38卷 55-60页

作者： C. Navarro Hernandez F. Crusca M. Aldeen S.P. Banks Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD UK Department of Electrical and Computer Systems Engineering Monash University Clayton VIC 3800 Australia Department of Electrical and Electronic Engineering The University of Melbourne Parkville VIC 3010 Australia

In this paper, the design of a fault detection filter for nonlinear systems is presented. The nonlinear system is represented as a sequence of linear time-varying approximations and at each linear approximation the design of an optimal stochastic fault detection filter for linear time-varying systems is applied. The final residual is primarily affected by a target fault and minimally by nuisance faults.

关键词： Fault detection Filter design Linear equations Nonlinear system Time-varying systems

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Boundary conditions and the stability of a class of 2D continuous-discrete linear systems

Boundary conditions and the stability of a class of 2D conti...

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American control Conference (ACC)

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

Differential linear repetitive processes are characterized by a series of sweeps, or passes, through a set of dynamics defined over a finite interval or duration with interaction between successive passes. They are distinct from other classes of 2D continuous-discrete linear systems due to the fact that information propagation in one of the two separate directions only occurs over a finite duration. Moreover, this is an intrinsic feature of the underlying dynamics as opposed to an assumption introduced for analysis purposes. This paper shows that the structure of the initial conditions at the start of each new pass of the process is critical to its stability properties.

关键词： Boundary conditions Linear systems Optimal control Iterative algorithms Asymptotic stability control systems Machining Metals industry Algorithm design and analysis Power system reliability

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Design and implement the stimuli capsule at in-vitro experiment

Design and implement the stimuli capsule at in-vitro experim...

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TENCON 2005 - 2005 IEEE Region 10 Conference

作者： Woo, S.H. Yoon, K.W. Lee, J.H. Moon, Y.K. Won, C.H. Kim, T.W. Choi, H.C. Cho, J.H. School of Electronic Engineering and Computer Science Kyungpook National University Korea Republic of Department of Computer Control and Electrical Engineering Kyungil University Korea Republic of College of Veterinary Medicine Dept. of Physiology Kynugpook National University Advanced Research Center for Recovery of Human Sensibility Kyungpook National University Korea Republic of

ISBN: (纸本)0780393112

Recently, the capsule endoscope has been developed to observe image from the inside intestine. Such a capsule endoscope does not have locomotion or hold by it self. To get proper diagnosis and meditation, it is necessary to control capsule from outside to enable to guide locomotion. The designed and implemented capsule has feasibility to contracts the small intestine by electrical stimulus from stimulus pad. When the small intestine is contracted by electrical stimulus, the capsule can move to opposite direction which can boost moving speed of the capsule or change moving direction. The implemented stimuli capsule always monitors excessive energy transmit and automatically shut down electrical stimuli to make more secure. Also the stimuli capsule goes to stand by mode to save battery, and reset by comparator circuit which is connected to two stimulus pad. To verify the design and implement stimuli capsule, in-vitro experiments are performed with pig's small intestine.

关键词： Medical imaging

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