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IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Jianhua Liu Jian Li P. Stoica Dept. of Electrical and Computer Engineering University of Florida Gainesville FL USA Department of Electrical and Computer Engineering University of Florida Gainesville FL USA Department of Systems and Control Uppsala University Uppsala SE Sweden

Orthogonal frequency-division multiplexing (OFDM) has been selected as the basis for the new IEEE 802.11a standard for high-speed wireless local area networks (WLANs). We consider doubling the data rate of the IEEE 802.11a system by using a multi-input multi-output (MIMO) system with two transmit and two receive antennas. We propose a preamble design for this MIMO system that is backward compatible with its single-input single-output (SISO) counterpart as specified by the IEEE 802.11a standard. Based on this preamble design, we devise a sequential method for the estimation of the carrier frequency offset (CFO), symbol timing, and channel response. We also provide a simple soft-detector to obtain the soft-information for the Viterbi decoder. Both the sequential parameter estimation method and the soft-detector are ideally suited for real-time implementations. The effectiveness of our methods is demonstrated via numerical examples.

关键词： MIMO OFDM Frequency estimation Frequency division multiplexing Wireless LAN Receiving antennas Timing Viterbi algorithm Decoding Parameter estimation

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A delay systems approach to linear differential repetitive processes: controllability and optimization 4

A delay systems approach to linear differential repetitive p...

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4th IFAC Workshop on Time Delay systems, TDS 2003

作者： Dymkou, S. Rogers, E. Dymkov, M. Galkowski, K. Owens, D.H. School of Information Technology and Mathematical Sciences University of Ballarat VIC33353 Australia Department of Electronics and Computer Science University of Southampton SouthamptonSO17IBJ United Kingdom Institute of Mathematics National Academy of Sciences of Belarus Surganov 11 Minsk220072 Belarus Institute of Control and Computation Engineering Technical University of Zielona Gora Poland Department of Automatic Control and Systems Engineering University of Sheffield SheffieldSI3JD United Kingdom

Differential linear repetitive processes are a class of continuous-discrete 2D linear systems of both systems theoretic and applications interest. The feature which makes them distinct from other classes of such systems is that information propagation in one of the two independent directions only occurs over a finite interval. Applications areas include iterative learning control and iterative solution algorithms for classes of dynamic nonlinear optimal control problems based on the maximum principle. In this paper, we investigate further the structural links between differential linear repetitive processes and a special class of time delay systems. This leads to some significant new controllability and optimal control results for these processes. © 2003 IFAC.

关键词： Time delay

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Pattern recognition of EEG signals during right and left motor imagery

Pattern recognition of EEG signals during right and left mot...

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SICE Annual Conference

作者： K. Inoue K. Sugioka K. Ishii G. Pfurtscheller K. Kumamaru Department of Control Engineering and Science Factory of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Japan Department of Medical Informatics Institute of Biomedical Engineering Graz University of Technology Graz Austria

In this paper, statistical pattern recognition method based on AR model was introduced to discriminate the electroencephalograph (EEG) signals recorded during right and left motor imagery. And learning methods were investigated. Also, correlation between C3 and C4 signals were investigated, and thereby which AR (combine AR or multivariable AR) model must be used in each EEC recording method.

关键词： Pattern recognition Electroencephalography Electrodes Brain modeling Monitoring Artificial neural networks Feedback Biomedical engineering Laplace equations Vectors

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Stability and control of a physical class of 2D continuous-discrete linear systems using an LMI setting

Stability and control of a physical class of 2D continuous-d...

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

H/sub /spl infin// control of discrete linear repetitive pro...

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IEEE Conference on Decision and control

作者： W. Paszke K. Galkowski E. Rogers D.H. Owens Institute of Control and Computation Engineering University of Zielona Góra Zielona Góra Poland Department 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 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 using an H/sub /spl infin// setting. 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： Iterative algorithms control systems Optimal control Stability Linear systems State-space methods control engineering computing computer science systems engineering and theory Application software

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Constrained quadratic programming techniques for control allocation

Constrained quadratic programming techniques for control all...

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IEEE Conference on Decision and control

作者： J.A.M. Petersen M. Bodson Department of Guidance Navigation and Control Raytheon Missile Systems Company Tucson AR USA Department of Electrical and Computer Engineering University of Utah Salt Lake UT USA

The paper considers the objective of optimally specifying redundant actuators under constraints, a problem commonly referred to as control allocation. The problem is posed as a mixed /spl lscr//sub 2/-norm optimization objective and converted to a quadratic programming formulation. The implementation of an interior-point algorithm is presented. Alternative methods including fixed-point and active set methods are used to evaluate the reliability, accuracy and efficiency of the primal-dual interior-point method. While the computational load of the interior-point method is found to be greater for problems of small size, convergence to the optimal solution is also more uniform and predictable. In addition, the properties of the algorithm scale favorably with problem size.

关键词： Quadratic programming control systems Actuators Optimal control Aircraft Aerospace control Size control Navigation Missiles Modems

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Partial modification for system enhancement of the continuous catalyst regeneration system

Partial modification for system enhancement of the continuou...

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IEEE Conference on control Technology and Applications (CCTA)

作者： A.K. Abdel-Gawad H. Ashour E.E. Zakzouk Control Engineering and Automated Systems College of Engineering and Technology Arab Academy for Science Technology and Maritime Transport Syria College of Engineering and Technology Arab Academy for Science and Technology and Maritime Transport Department and Professor of Computer Control Engineering College of Engineering and Technology Arab Academy for Science Technology and Maritime Transport Syria Head of the Department and Professor of Computer Control Engineering Arab Academy for Science and Technology and Maritime Transport

This paper introduces an effective modification for the catalyst regeneration system used to improve the octane number of the complex naphtha reformers in the refiners. Thinking for modification is initiated due to the serious problems that may happen as a result of uncontrolled temperature rise over the permissible limits in the regeneration tower (problems have been actually happened in some companies). Modification methodology depends on an addition of a new temperature element into the most effective area of the regeneration tower, and then a fuzzy control module is built in the existing distributed control system (DCS) to automatically control the system behavior. This approach will enhance system performance and improve factor of safety over the supplier regulation, which mainly depends on the human behavior, and tracing the temperature before the critical area. Through this paper, the catalyst regeneration process is described, the temperature rise problem is classified and several solutions to prevent such problem are proposed. Simulated results are presented to show system response with the proposed modification and to validate such solution for practical implementation.

关键词： Poles and towers Temperature dependence Distributed control Fuzzy control Automatic control Temperature control control systems System performance Safety Humans

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Pattern recognition of EEG signals during right and left motor imagery

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IFAC Proceedings Volumes 2003年第16期36卷 139-144页

作者： Katsuhiro Inoue Gert Pfurtscheller Christa Neuper Kousuke Kumamaru Department of Control Engineering and Science Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Iizuka Fukuoka 820-8502 Japan Department of Medical Informatics Institute of Biomedical Engineering Graz University of Technology Inffeldgasse 16a 8010 Graz Austria

Electroencephalograph (EEG) recordings during right and left motor imagery can be used to move a cursor to a target on a computer screen. Such an EEG-based brain-computer interface (BCI) can provide a new communication channel to replace an impaired motor function. It can be used by e.g., handicap users with amyotrophic lateral sclerosis (ALS). In this study, statistical pattern recognition method based on AR model was introduced to discriminate the EEG signals recorded during right and left motor imagery. And learning methods (processing period for parameter estimation, AR order, etc.) were investigated. Finally, the effectiveness of our method was confirmed through the experimental studies.

关键词： EEG AR-model statistical pattern recognition brain computer interface motor imagery

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Identification of fully parameterized linear and nonlinear state-space systems by projected gradient search

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IFAC Proceedings Volumes 2003年第16期36卷 711-716页

作者： Vincent Verdult Niek Bergboer Michel Verhaegen Delft University of Technology Faculty of Information Technology and Systems Control Systems Engineering P. O. Box 5031 NL-2600 GA Delft The Netherlands Maastricht University Department of Computer Science St Jacobstraat 6 Maastricht The Netherlands

A nonlinear optimization-based identification procedure for fully parameterized multivariable state-space models is presented. The method can be used to identify linear time-invariant, linear parameter-varying, composite local linear, bilinear. Hammerstein and Wiener systems. The nonuniqueness of the full parameterization is dealt with by a projected gradient search to solve the nonlinear optimization problem. Both white and nonwhite measurement noise at the output can be dealt with in a maximum likelihood setting. It is proposed to use subspace identification methods to initialize the nonlinear optimization problem. A computationally efficient and numerically reliable implementation of the procedure is discussed in detail.

关键词： System identification state-space methods nonlinear models nonlinear programming numerical algorithms maximum likelihood bilinear systems

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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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