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ON OPERATING STRATEGIES OF THE FUZZY ARTMAP NEURAL NETWORK: A COMPARATIVE STUDY

International Journal of Computational Intelligence and Applications 2003年第1期3卷 23-43页

作者： MEI MING KUAN CHEE PENG LIM ROBERT F. HARRISON School of Electrical & Electronic Engineering University of Science Malaysia 11800 Penang Malaysia Department of Automatic Control & Systems Engineering The University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom

In this paper, the effectiveness of three different operating strategies applied to the Fuzzy ARTMAP (FAM) neural network in pattern classification tasks is analyzed and compared. Three types of FAM, namely average FAM, voting FAM, and ordered FAM, are formed for experimentation. In average FAM, a pool of the FAM networks is trained using random sequences of input patterns, and the performance metrics from multiple networks are averaged. In voting FAM, predictions from a number of FAM networks are combined using the majority-voting scheme to reach a final output. In ordered FAM, a pre-processing procedure known as the ordering algorithm is employed to identify a fixed sequence of input patterns for training the FAM network. Three medical data sets are employed to evaluate the performances of these three types of FAM. The results are analyzed and compared with those from other learning systems. Bootstrapping has also been used to analyze and quantify the results statistically.

关键词： Fuzzy ARTMAP operating strategies averaging voting ordering algorithm bootstrap

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Notice of Violation of IEEE Publication Principles: Internal model control based on locally linear model tree (LOLIMOT) model with application to a PH neutralization process

Notice of Violation of IEEE Publication Principles: Internal...

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IEEE International Conference on Systems, Man and Cybernetics

作者： M. Jalili-Kharaajoo A. Rahmati F. Rashidi Control & Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran Electrical Engineering Department Iran University of Science and Technology Tehran Iran

Notice of Violation of IEEE Publication Principles "Internal model control based on locally linear model tree (LOLIMOT) model with application to a PH neutral process" by M. Jalili-Kharaajoo, A. Rahmati and F. Rashidi, in proceedings of the 2003 IEEE Internationa Conference on Systems, Man, and Cybernetics, vol 4, pp. 3051-3-55. After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. This paper contains portions of original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission. "Nonlinear Internal Model control for MISO Systems Based on Local Linear Neuro-Fuzzy Models" by A. Fink, O. Nelles and R. Isermann, in 15th IFAC World Congress, Barcelona, Spain, 2002. The internal model control (IMC) scheme has been widely applied in the field of process control. So far, IMC has been mainly applied to linear processes. This paper discusses the extension of the IMC scheme to nonlinear processes based on local linear models where the properties of linear design procedures can be exploited. The IMC scheme results in controllers that are comparable to conventional multi layer perceptron (MLP) networks. In practice, the tuning of conventional MLP based controllers can be very time-consuming whereas the IMC design procedure is very simple and reliable. The design effort of the IMC based on locally linear model tree (LOLIMOT) algorithm are discussed and the control results are compared by application to nonlinear control of an industrial-scale PH neutralization process. Simulation studies of a PH neutralization process confirm the excellent nonlinear modeling properties of the proposed locally linear network and illustrate the potential for set point tracking and disturbance rejection within an IMC framework.

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CAN based distributed control system modeling using UML

CAN based distributed control system modeling using UML

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IEEE International Conference on Industrial Technology (ICIT)

作者： J. Kotzian V. Srovnal Faculty of Electrical Engineering and Computer Science Department of Measurement and Control VSB-Technical University of Ostrava Ostrava Czech Republic

This work presents a model and methodology used for the development of a distributed control system based on industrial network CAN. The main aim of work is to create a model of a distributed control system, especially the part which is related to communication on an industrial bus. The model serves as a basis for analysis of the desired control system and also its realisation.

关键词： Distributed control Unified modeling language Communication system control electrical equipment industry Industrial control control system synthesis control systems Access protocols System testing Programmable control

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Stability and stabilisation of 2D discrete linear systems with multiple delays

Stability and stabilisation of 2D discrete linear systems wi...

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IEEE International Symposium on Circuits and Systems (ISCAS)

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

In this paper, we study the stability and the stabilisation of 2D discrete linear systems with multiple state delays. All of the new results obtained are based on analysis of the Fornasini-Marchesini state space model with delays and the resulting conditions are given in terms of linear matrix inequalities (LMIs). A numerical example is given to illustrate the effectiveness of the overall approach.

关键词： Stability Linear systems Delay systems Linear matrix inequalities Symmetric matrices automatic control Delay lines Boundary conditions control engineering computing Mechanical engineering

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Panel discussion whitherto robust control 4

Panel discussion whitherto robust control

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4th IFAC Symposium on Robust control Design, ROCOND 2003

作者： Tempo, Roberto Basar, Tamer Khargonekar, Pramod P. Kokotovic, Petar V. Scherer, Carsten W. IEIIT-CNR Politecnico di Torino Italy Coordinated Science Laboratory University of Illinois Urbana-Champaign United States College of Engineering University of Florida Gainesville United States Department of Electrical and Computer Engineering University of California Santa Barbara United States Mechanical Engineering Systems and Control Group Delft University of Technology Netherlands

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Randomized algorithms for semi-infinite programming problems

Randomized algorithms for semi-infinite programming problems

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European control Conference (ECC)

作者： Vladislav B. Tadić Sean P. Meyn Roberto Tempo Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign Illinois USA IEIIT-CNR Politecnico di Torino Torino Italy

In this paper, we explore the possibility of applying Monte Carlo methods (i.e., randomization) to semi-infinite programming problems. Equivalent stochastic optimization problems are derived for a general class of semi-infinite programming problems. For the equivalent stochastic optimization problems, algorithms based on stochastic approximation and Monte Carlo sampling methods are proposed. The asymptotic behavior of the proposed algorithms is analyzed and sufficient conditions for their almost sure convergence are obtained.

关键词： Programming Approximation algorithms Optimization Approximation methods Stochastic processes Monte Carlo methods Algorithm design and analysis

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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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Implementation of a neural network based system for estimating the strength of a board using mixed signals

Implementation of a neural network based system for estimati...

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IEEE Pacific Rim Conference on Communications, computers and Signal Processing

作者： H. Saboksayr A. Saravi P.D. Lawrence F. Lam IEEE Control System Society Vancouver Canada Robotics and Control Laboratoryratory Department of Electrical and Computer Engineering University of British Columbia Vancouver Canada 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

An intelligent lumber grading system was developed to provide a new way for estimating the strength of a board by posing the estimation problem as an empirical learning problem. This system processed the X-ray image, extracted geometric features (of 1000 boards that eventually underwent destructive strength testing), and predicted the strength of the lumber by using a neural network. The X-ray image was passed through a threshold filter to separate the knots based on the fact that a denser knot produces a local maximum (as a rounded protrusion in an otherwise almost flat density surface) of the X-ray image. Each knot was modeled by a three-dimensional-cone with seven parameters. Information on all the detected knots such as volume, and knot-area-ratio were fed to a processor to generate 16 geometrical features (such as; the average of knot area ratio, and the number of knots detected in each board), which characterize each board. Then by using back-propagation as the training method, cross correlation as the measure of accuracy, and actual strength of a thousand boards as the empirical data set, a neural network was trained to estimate the strength of each board. The learning system consisted of three layers, with 1, 5, 16 neurons in output, hidden and input layer respectively. Ten-fold cross validation was used to produce an unbiased accuracy of the estimation problem. The learning and testing sets comprised of 900 and 100 boards respectively. By repeating the learning and testing for ten times and averaging the results, a coefficient of determination of 0.4059 was reached in this study for using X-ray images alone. The same methodology was applied to MOE (modulus of elasticity) and a coefficient of determination of 0.56 was reached. The results were improved by fusing the X-ray image and MOE using a learning system consisting of three layers, with 1, 5, 40 neurons in output, hidden and input layer respectively. Ten-Fold cross validation resulted in a coefficient o

关键词： Neural networks X-ray imaging Feature extraction Learning systems Neurons Intelligent systems System testing Filters Character generation Elasticity

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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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Entropy vector median filter

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1st Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2003

作者： Lukac, Rastislav Smolka, Bogdan Plataniotis, Konstantinos 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 Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto 10 King’s College Road Toronto Canada

ISBN: (纸本)3540402179

In this paper, a new adaptive multichannel filter for the detection and removal of impulsive noise, bit errors and outliers in digital color images is provided. The proposed nonlinear filter takes the advantages of the concept of the local entropy contrast and the robust order-statistics theory. The new entropy based vector median is computationally attractive, robust for a wide range of the impulsive noise corruption and significantly improves the signal-detail preservation capability of the standard vector median filter. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Impulse noise

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