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International Conference on Information Technology Interfaces

作者： Ivica Martinjak Mario-Osvin Pavcevic Market Risk Control Department Societe Generale - Splitska banka d. d. Zagreb Croatia Faculty of Electrical Engineering and Computing University of Zagreb Zagreb HR Croatia

This paper presents a way of using the natural evolution process as a model for combinatorial design constructions. In spite of the fact that metaheuristic proved its efficiency on a variety of problems, there are only a few known cases of implementing it on combinatorial designs. The genetic algorithm developed here was able to construct BIBDs by searching through the natural solution space without any additional constraints. Among all the obtained positive results, new simple designs with parameters 2-(14, 4, 6) and 2-(18, 4, 6) should be pointed out.

关键词： Genetic algorithms Biological cells Mathematics Genetic mutations Design optimization Optimization methods Information technology Heuristic algorithms Algorithm design and analysis

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Radial control design for a class of nonlinear systems

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control and Intelligent Systems 2009年第3期37卷 144-151页

作者： Sangelaji, Z. Banks, S.P. Department of Computing and the Digital Environment Coventry University Coventry CV1 5FB United Kingdom Department of Automatic Control and Systems Engineering University of Sheffield Sheffield S10 2TN United Kingdom

In this paper, the stabilization of a class of nonlinear systems using the associated angular method is studied. In this approach, the system is converted into two subsystems, the so-called radial and spherical subsystems in which the radial subsystem is first order and the dimension of spherical subsystem is the same as the original system. In many cases, a stabilizing control law can be directly obtained using the one-dimensional radial system dynamics. This control stabilizes the original system without any extra condition.

关键词： Stabilization

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On the complexity of explicit MPC laws

On the complexity of explicit MPC laws

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European control Conference (ECC)

作者： Francesco Borrelli Mato Baotić Jaroslav Pekar Greg Stewart Department of Mechanical Engineering University of California Berkeley USA Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Honeywell Prague Laboratory Prague Czech Republic Honeywell Automation and Control Solutions North Vancouver Canada

Finite-time optimal control problems with quadratic performance index for linear systems with linear constraints can be transformed into Quadratic Programs (QPs). Model Predictive control requires the online solution of such QPs. This can be obtained by using a QP solver or evaluating the associated explicit solution. Objective of this note is to shed some light on the complexity of the two approaches.

关键词： Vectors Equations Indexes Optimal control Complexity theory Europe Predictive control

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Using hierarchical coloured petri net to support substation restoration

Using hierarchical coloured petri net to support substation ...

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Power Tech Conference

作者： Luciano A. C. Lisboa Antonio M. N. Lima Leandro D. Silva Department of Control Systems Hydroelectric Company of San Francisco Recife Pernambuco Brazil Department of Electrical Engineering Federal University of Campina Grande Campina Grande Paraiba Brazil Computing Institute Federal University of Alagoas Maceio Alagoas Brazil

In this work, a solution to restore a substation is proposed, using hierarchical coloured Petri net, in a safe, reliable, fast and efficient way. This solution intends to solve the limitations of the solutions already presented in the academic world to solve this problem. A real substation case is considered. Using formal methods, a formulation and solution to this problem through structured, scalable and compact mathematical representations are possible. Algorithms and proprieties of the used formalism let analysis formally.

关键词： Substations Power system restoration Power generation economics control systems Transmitters Power system reliability Algorithm design and analysis Formal languages Petri nets Power system modeling

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Simple adaptive dynamical control of vehicles driven by omnidirectional wheels

Simple adaptive dynamical control of vehicles driven by omni...

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IEEE 7th International Conference on Computational Cybernetics, ICCC 2009

作者： Tar, J.K. Rudas, I.J. Nagy, I. Kozlowski, K.R. Tenreiro Machado, J.A. Telematics and Communications Informatics Knowledge Centre Budapest Tech. H-1034 Budapest Hungary John Von Neumann Faculty of Informatics Budapest Tech. H-1034 Budapest Hungary Bánki Dońat Faculty of Mechanical and Safety Engineering Budapest Tech. Bécsiút 96/B H-1034 Budapest Hungary Control and Systems Engineering Computing Science and Management Poznań University of Technology Piotrowo 3a 60-965 Poznań Poland Department of Electrotechnical Engineering Institute of Engineering of Porto Rua Dr. Antonio Bernardino de Almeida 4200-072 Porto Portugal

ISBN: (纸本)9781424453115

Precise control of Automatic Guided Vehicles (AGVs) navigating between the aisles of manufacturing systems by the use of local markers is an important task. On the basis of the geometric model of the workspace and the vehicles and that of the sensor uncertainties precise trajectories were recently generated along which the vehicle safely can move. In order to achieve precise trajectory tracking the effects of the system's dynamical uncertainties (modeling errors and possible external perturbations) have to be compensated. In the present paper a simple, Fixed point transformations based adaptive control is proposed for this purpose. The proposed method is tested via simulation for a vehicle of triangular shape, driven by three omnidirectional wheels. The method is also able to monitor and evade the conditions that may lead to turning over the vehicle. ©2009IEEE.

关键词： Uncertainty analysis

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Gene expression data classification based on non-negative matrix factorization

Gene expression data classification based on non-negative ma...

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International Joint Conference on Neural Networks (IJCNN)

作者： Chun-Hou Zheng Ping Zhang Lei Zhang Xin-Xin Liu Ju Han College of Information and Communication Technology Qufu Normal University Rizhao Shandong China Intelligent Computing Laboratory Institute of Intelligent Machines Chinese Academy and Sciences Hefei Anhui China Institute of automation Qufu Normal University Rizhao Shandong China Biometric Research Center Department of Computing Hong Kong Polytechnic University Hong Kong China Department of Control Engineering Academy of Armored Forces Engineering Beijing China

With the advent of DNA microarrays, it is now possible to use the microarrays data for tumor classification. Yet previous works have not use the nonnegative information of gene expression data. In this paper, we propose a new method for tumor classification using gene expression data. In this method, we first select genes using nonnegative matrix factorization (NMF) and sparse NMF (SNMF). Then we extract features of the selected gene data by virtue of NMF and SNMF. At last, support vector machines (SVM) was applied to classify the tumor samples based on the extracted features. To better fit for classification aim, a modified SNMF algorithm is also proposed. The experimental results on three microarray datasets show that the method is efficient and feasible.

关键词： Gene expression Principal component analysis Independent component analysis Neoplasms Data mining Feature extraction Data analysis Humans Bioinformatics DNA

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Robust H∞ filtering of nonlinear networked systems with multiple stochastic communication delays

Robust H∞ filtering of nonlinear networked systems with mul...

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Asian control Conference

作者： Hongli Dong Zidong Wang Huijun Gao College of Electrical and Information Engineering Daqing Petroleum Institute Daqing China Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China Department of Information Systems and Computing Brunei University Uxbridge Middlesex UK

This paper is concerned with the robust H infin filtering problem for a class of uncertain nonlinear networked systems with both multiple stochastic time-varying communication delays and multiple packet dropouts. The discrete-time system under consideration is also subject to parameter uncertainties, state-dependent stochastic disturbances and sector-bounded nonlinearities. Sufficient conditions are derived for a linear full-order filter such that the estimation error converges to zero exponentially in the mean square while the disturbance rejection attenuation is constrained to a give level by means of the H infin performance index. The explicit expression is then given for the desired filter parameters. A numerical example is exploited to show the usefulness of the results derived.

关键词： Robustness Stochastic systems Filtering Time varying systems Uncertain systems Sufficient conditions Nonlinear filters Estimation error Attenuation Performance analysis

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NEURO-FUZZY BASED FAULT DIAGNOSIS OF A STEAM GENERATOR

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IFAC Proceedings Volumes 2009年第8期42卷 1180-1185页

作者： Roozbeh Razavi-Far Hadi Davilu Vasile Palade Caro Lucas Department of Nuclear Engineering Amirkabir University of Technology P.O. Box 15875-4413 Tehran Iran (Tel:+98-***) Computing Laboratory Oxford University Wolfson Building Parks Road Oxford OX1 3QD UK Center of Excellence on Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran P.O. Box 14395-1515 Tehran Iran

This paper focuses on the development and application of a Neuro-Fuzzy (NF) networks-based scheme for Fault Detection and Isolation (FDI) in a U-tube Steam Generator (UTSG). First, a NF network is trained with data collected from a full scale UTSG simulator, and residuals are generated for fault detection. To identify the UTSG, a Locally Linear Neuro-Fuzzy (LLNF) model is used. This model is trained using the Locally Linear Model Tree (LOLIMOT) algorithm which is an incremental tree structure algorithm. Then, an evolutionary algorithm is used to train a Mamdani type NF network to classify the residuals. The residuals are analyzed by using this NF classifier for fault isolation purposes.

关键词： Fault Diagnosis Neuro-Fuzzy Networks Locally Linear Neuro Fuzzy Model Locally Linear Model Tree Steam Generator

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State observation for quasi-linear uncertain systems by nested high-order sliding mode observer

State observation for quasi-linear uncertain systems by nest...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Jorge Davila Leonid Fridman Alessandro Pisano Elio Usai General Direction of Academic Computing Services National Autonomous University of Mexico (UNAM) Mexico Department of Control Division of Electrical Engineering Engineering Faculty National Autonomous University of Mexico (UNAM) Mexico Dipartimento di Ingegneria Elettrica ed Elettronica (DIEE) Universita degli Studi di Cagliari Cagliari Italy

The problem of observation of some classes of quasilinear uncertain systems is studied in the framework of unknown input observer theory. High-order sliding-mode observers are designed for the considered classes of systems. Necessary conditions for the convergence of the proposed observers are given in terms of restrictions on the system matrices. A new observation scheme, based on the error injection by high-order sliding-mode control, is proposed. Simulations confirm the theoretical results.

关键词： Uncertain systems Sliding mode control Robustness Observers control systems Convergence Filtration Sampling methods Estimation error Observability

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Simple adaptive dynamical control of vehicles driven by omnidirectional wheels

Simple adaptive dynamical control of vehicles driven by omni...

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International Conference on Computational Cybernetics (ICCC)

作者： J.K. Tar I.J. Rudas I. Nagy K.R. Kozłowski J.A. Tenreiro Machado Telematics and Communications Informatics Knowledge Centre Hungary John von Neumann Faculty of Informatics Hungary Bánki Donát Faculty of Mechanical & Safety Engineering Budapest University슠of슠Technology슠and슠Economics Budapest Hungary Control and Systems Engineering Computing Science & Management Poznań University of Technology Poznan Poland Department of Electrotechnical Engineering Institute Engineering of Porto Porto Portugal

Precise control of Automatic Guided Vehicles (AGVs) navigating between the aisles of manufacturing systems by the use of local markers is an important task. On the basis of the geometric model of the workspace and the vehicles and that of the sensor uncertainties precise trajectories were recently generated along which the vehicle safely can move. In order to achieve precise trajectory tracking the effects of the system's dynamical uncertainties (modeling errors and possible external perturbations) have to be compensated. In the present paper a simple, fixed point transformations based adaptive control is proposed for this purpose. The proposed method is tested via simulation for a vehicle of triangular shape, driven by three omnidirectional wheels. The method is also able to monitor and evade the conditions that may lead to turning over the vehicle.

关键词： Programmable control Adaptive control Vehicle driving Wheels Automatic control Vehicles Vehicle safety Uncertainty control systems Navigation

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