JAMRIS 2008 Vol 2 No 1

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Transcript of JAMRIS 2008 Vol 2 No 1

  • Editor-in-Chief

    Co-Editors:

    Executive Editor:

    Associate Editors:,

    Janusz Kacprzyk

    Dimitar Filev

    Kaoru Hirota

    Witold Pedrycz

    Roman Szewczyk

    Anna adan

    Mariusz Andrzejczak Katarzyna Rzepliska-Rykaa

    (Systems Research Institute, Polish Academy of Sciences, Poland)

    (Research & Advenced Engineering, Ford Motor Company, USA)

    (Interdisciplinary Graduate School of Science and Engineering,

    Tokyo Institute of Technology)

    (ECERF, University of Alberta, Canada)

    (PIAP, Warsaw University of Technology)

    [email protected]

    Editorial Board:Chairman: Janusz KacprzykZenn BienAdam BorkowskiWolfgang BorutzkyOscar CastilloChin Chen ChangJorge Manuel Miranda DiasBogdan GabryJan JabkowskiStanisaw KaczanowskiTadeusz KaczorekMarian P. KamierkowskiJzef KorbiczKrzysztof KozowskiEckart KramerAndrew KusiakMark LastAnthony MaciejewskiKrzysztof MalinowskiAndrzej Masowski

    (Polish Academy of Sciences, Poland)

    (Korea Advanced Institute of Science and Technology, Korea)

    (Polish Academy of Sciences, Poland)

    (Fachhochschule Bonn-Rhein-Sieg, Germany)

    (Tijuana Institute of Technology, Mexico)

    (Feng Chia University, Taiwan)

    (University of Coimbra, Portugal)

    (Bournemouth University, UK)

    (PIAP, Poland)

    (PIAP, Poland)

    (Warsaw University of Technology, Poland)

    (Warsaw University of Technology, Poland)

    (University of Zielona Gra, Poland)

    (Pozna University of Technology, Poland)

    (Fachhochschule Eberswalde, Germany)

    (University of Iowa, USA)

    (BenGurion University of the Negev, Israel)

    (Colorado State University, USA)

    (Warsaw University of Technology, Poland)

    (PIAP, Poland)

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    Al. Jerozolimskie 202, 02-486 Warsaw, POLANDTel. +48-22-8740109,

    Tomasz Kobyliski

    Magorzata Korbecka-Pachuta

    Agnieszka Sproska

    Industrial Research Institute for Automationand Measurements PIAP

    Tadeusz MissalaFazel NaghdyZbigniew NahorskiAntoni NiederliskiWitold PedryczDuc Truong PhamLech Polkowski

    Alain PruskiLeszek RutkowskiKlaus SchillingRyszard Tadeusiewicz

    Stanisaw TarasiewiczPiotr TatjewskiWadysaw TorbiczLeszek TrybusRen WamkeueJanusz ZalewskiMarek ZarembaTeresa Zieliska

    [email protected]

    [email protected]

    [email protected]

    [email protected]

    (PIAP, Poland)

    (University of Wollongong, Australia)

    (Polish Academy of Science, Poland)

    (Silesian University of Technology, Poland)

    (University of Alberta, Canada)

    (Cardiff University, UK)

    (Polish-Japanese Institute of Information Technology,

    Poland)

    (University of Metz, France)

    (Czstochowa University of Technology, Poland)

    (Julius-Maximilians-University Wrzburg, Germany)

    (AGH University of Science and Technology

    in Krakw, Poland)

    (University of Laval, Canada)

    (Warsaw University of Technology, Poland)

    (Polish Academy of Sciences, Poland)

    (Rzeszw University of Technology, Poland)

    (University of Qubec, Canada)

    (Florida Gulf Coast University, USA)

    (University of Qubec, Canada)

    (Warsaw University of Technology, Poland)

    JOURNAL of AUTOMATION, MOBILE ROBOTICS& INTELLIGENT SYSTEMS

    All rights reserved 1

    Publisher:Industrial Research Institute for Automation and Measurements PIAP

    If in doubt about the proper edition of contributions, please contact the Executive Editor. , excluding advertisements and descriptions of products.The Editor does not take the responsibility for contents of advertisements, inserts etc. The Editor reserves the right to make relevant revisions, abbreviations

    and adjustments to the articles.

    Articles are reviewed

  • 2CONTENTS

    ARTICLES

    Hybrid learning of interval type-2 fuzzy systems basedon orthogonal least squares and back propagation formanufacturing applications

    Response integration in ensemble neural networksusing the sugeno integral and fuzzy inference systemfor pattern recognition

    Type-1 and type-2 fuzzy inference systemsas integration methods in modular neural networksfor multimodal biometry and its optimizationwith genetic algorithms

    An ACO path planner using a FIS for path selectionadjusted with a simple tuning algorithm

    Intelligent control for a perturbed autonomouswheeled mobile robot using type-2 fuzzy logic andgenetic algorithms

    Control of a drone: study and analysis of therobustness

    Comparative study of particle swarm optimization andgenetic algorithms for complex mathematicalfunctions

    M. Porta-Garcia, O. Montiel, R. Sepulveda

    R. Martnez, O. Castillo, L. T. Aguilar

    K. M. Zemalache, L. Beji and H. Maaref

    F. Valdez, P. Melin

    G. Mendez, A. Hernandez

    M. Lopez, P. Melin

    D. Hidalgo, O. Castillo, P. Melin

    DEPARTMENTS

    EDITORIAL

    INTERVIEW

    IN THE SPOTLIGHT

    EVENTS

    How a mouse crossed scientist's mindA conversation with Ebrahim Mamdani

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    JOURNAL of AUTOMATION, MOBILE ROBOTICS& INTELLIGENT SYSTEMSVOLUME 2, N 1, 2008

    Special Issue on "Hybrid Intelligent Systems"Oscar Castillo, Patricia MelinGuest Editors:

  • Journal of Automation, Mobile Robotics & Intelligent Systems

    Special Issue on Hybrid Intelligent Systems

    This Special Issue contains a selection of papers from the IFSA 2007 World Congress that were extendedand significantly improved over the conference proceeding's version of the papers. There are seven papers inthis Special Issue, containing a range of topics of the Hybrid Intelligent Systems area. In particular, thereare papers on fuzzy logic, neural networks, genetic algorithms, ant colony optimization, and combinationsof these techniques.

    The first paper, by Miguel Porta ., describes an Ant Colony Optimization (ACO) Path Planner Usinga FIS for Path Selection Adjusted with a Simple Tuning Algorithm, which proposes an evolutionary approachfor designing paths for autonomous mobile robots that also uses fuzzy logic. Simulation and experimentalresults with an autonomous robot shows the feasibility of the proposed hybrid approach combining ACO andfuzzy logic.

    The second paper, by Ricardo Martinez , describes an Intelligent Control for a Perturbed Autono-mous Wheeled Mobile Robot Using Type-2 Fuzzy Logic and Genetic Algorithms, which proposes the use ofinterval type-2 fuzzy logic for designing stable intelligent controllers of a mobile robot. Genetic algorithmsare also used to automatically obtain the optimal parameters of the interval type-2 fuzzy logic controllers.Simulation results show the effectiveness of the proposed hybrid intelligent approach.

    The third paper, by Gerardo Mendez and Angeles Hernandez, describes Hybrid Learning of Interval Type-2 Fuzzy Systems Based on Orthogonal Least Squares and Back Propagation for Manufacturing Applications,which proposes a hybrid method for learning the parameters of an interval type-2 fuzzy system and itsapplication for intelligent manufacturing. The hybrid learning method combines orthogonal least squaresand backpropagation for achieving better performance. Simulation results illustrate the usefulness of thehybrid learning algorithm.

    The fourth paper, by Kadda Zemalache , describes the Control of a Drone: Study and Analysis of theRobustness, which proposes a method for analysis and design of a stable and robust controller for a drone.Simulation and experimental results show the feasibility of the proposed approach for control.

    The fifth paper, by Fevrier Valdez and Patricia Melin, describes a Comparative Study of Particle SwarmOptimization and Genetic Algorithms for Complex Mathematical functions, which proposes a combination oftwo evolutionary methods for achieving optimization of complex mathematical functions. The use of particleswarm optimization and genetic algorithms for complex function optimization is analyzed, and the optimi-zation of neural networks is proposed.

    The sixth paper, by Miguel Lopez and Patricia Melin, describes Response Integration in Ensemble NeuralNetworks using the Sugeno Integral and Fuzzy Inference System for Pattern Recognition, which proposesusing fuzzy logic models to integrate the results of the modules in an ensemble architecture. The use of theSugeno integral and fuzzy inference systems is tested for fingerprint recognition. Simulation results areencouraging and other recognition problems can be solved with the same approach.

    The seventh paper, by Denisse Hidalgo and Oscar Castillo, describes Type-1 and Type-2 Fuzzy InferenceSystems as Integration Methods in Modular Neural Networks for Multimodal Biometry and its Optimizationwith Genetic Algorithms. The paper proposes the use of fuzzy systems for integrating results of modularneural networks, and genetic algorithms for finding the optimal parameters of the fuzzy systems. Simulationresults in the recognition of persons illustrate the potential of the proposed approach.

    Tijuana Institute of Technology

    et al

    et al.

    et al.

    Oscar Castillo and Patricia Melin

    Tijuana, Mexico

    November of 2007

    Editorial

    Oscar Castillo*, Patricia Melin

    3Editorial

    VOLUME 2, N 1 2008