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Conference on control Applications

作者： Tomonori Sadamoto Takayuki Ishizaki Jun-ichi Imura Bart Besselink Henrik Sandberg Karl Henrik Johansson Department of Mechanical and Environmental Informatics Graduate School of Information Science and Engineering Tokyo Institute of Technology 2-12-1 Meguro Tokyo Japan School of Electrical Engineering Automatic Control Royal Institute of Technology (KTH) SE-100 44 Stockholm Sweden Japan Science and Technology Agency CREST 4-1-8 Honcho Kawaguchi Saitama 332-0012 Japan

ISBN: (纸本)9781479977970

In this paper, we consider designing locally stabilizing controllers, each of which stabilizes each disconnected subsystem, in a distributed manner for large-scale networked linear systems. To this end, we design a low-dimensional hierarchical distributed compensator such that the L_2-performance of the closed-loop system improves as long as that of the locally stabilizing controllers improves. We solve a controller reduction problem where the approximation error of the low-dimensional compensator gets better as long as the performance of the locally stabilizing controllers improves, while preserving the hierarchical distributed structure of the original compensator. Finally, we demonstrate the efficiency of the proposed method through a numerical example of a power network.

关键词： distributed efficiency proposed

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Distributed computation of generalized one-sided concept lattices on sparse data tables

Distributed computation of generalized one-sided concept lat...

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作者： Butka, Peter Pócs, Jozef Pócsová, Jana Department of Cybernetics and Artificial Intelligence Faculty of Electrical Engineering and Informatics Technical University of Košice Letná 9 Košice04200 Slovakia Department of Algebra and Geometry Palacký University Olomouc 17. Listopadu 12 Olomouc77146 Czech Republic Mathematical Institute Slovak Academy of Sciences Grešákova 6 Košice04001 Slovakia BERG Faculty Institute of Control and Informatization of Production Processes Technical University of Košice Boženy Němcovej 3 Košice04384 Slovakia

In this paper we present the study on the usage of distributed version of the algorithm for generalized one-sided concept lattices (GOSCL), which provides a special case for fuzzy version of data analysis approach called formal concept analysis (FCA). The methods of this type create the conceptual model of the input data based on the theory of concept lattices and were successfully applied in several domains. GOSCL is able to create one-sided concept lattices for data tables with different attribute types processed as fuzzy sets. One of the problems with the creation of FCA-based models is their computational complexity. In order to reduce the computation times, we have designed the distributed version of the algorithm for GOSCL. The algorithm is able to work well especially for data where the number of newly generated concepts is reduced, i.e., for sparse input data tables which are often used in domains like text-mining and information retrieval. Therefore, we present the experimental results on sparse data tables in order to show the applicability of the algorithm on the generated data and the selected text-mining datasets.

关键词： Formal concept analysis

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Optimization of robotic arm trajectory using genetic algorithm 19

Optimization of robotic arm trajectory using genetic algorit...

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Števo, Stanislav Sekaj, Ivan Dekan, Martin Institute of Control and Industrial Informatics Faculty of Electrical Engineering and Information Technology Slovak University of Technology Ilkovičova 3 Bratislava812 19 Slovakia

ISBN: (纸本)9783902823625

The paper presents a genetic algorithm - based design approach of the robotic arm trajectory control with the optimization of various criterions. The described methodology is based on the inverse kinematics problem and it additionally considers the minimization of the operating-time, and/or the minimization of energy consumption as well as the minimization of the sum of all rotation changes during the operation cycle. Each criterion evaluation includes the computationally demanding simulation of the arm movement. The proposed approach was verified and all the proposed criterions have been compared on the trajectory optimization of the industrial robot ABB IRB 6400FHD, which has six degrees of freedom. © IFAC.

关键词： Inverse problems

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Fault diagnosis methodology based on nonlinear system modelling and frequency analysis 19

Fault diagnosis methodology based on nonlinear system modell...

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Bayma, Rafael S. Lang, Zi-Qiang Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street SheffieldS13JD United Kingdom Faculty of Electrical Engineering CAMTUC Universidade Federal do Para Brazil

ISBN: (纸本)9783902823625

In this paper, a new fault diagnosis methodology based on nonlinear system modelling and frequency analysis is developed. The method is derived via resolving several fundamental issues associated with conducting system fault diagnosis using the NARMAX (Nonlinear Auto-Regressive Moving Average with eXougenous inputs) modelling and NOFRFs (Nonlinear Output Frequency Response Functions) based frequency analysis, which was recently proposed and extends the well-known linear system modelling and FRF (Frequency Response Function) based frequency analysis to the nonlinear case. Simulation studies verify the effectiveness of the new method and demonstrate the performance of the method when applied to address a mechanical structural system fault diagnosis problem. The new methodology has the potential to resolve a wide range of input output data based engineering system fault diagnosis problems. © IFAC.

关键词： Fault detection

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Robust model predictive controller design 19

Robust model predictive controller design

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Vozák, Daniel Veselý, Vojtech Institute of Control and Industrial Informatics Faculty of Electrical Engineering and Information Technology Slovak University of Technology in Bratislava Ilkovičova 3 Bratislava812 19 Slovakia

ISBN: (纸本)9783902823625

This paper addresses to the problem of designing, modelling and practical realization of robust model predictive control which ensures a parameter dependent quadratic stability and guaranteed cost for linear polytopic systems. The design procedure based on BMI and LMI is reduced to off-line output feedback gain calculation. A numerical example and an application to a real process is given to illustrate the effectiveness of the proposed method. © IFAC.

关键词： Feedback

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Computer-aided geometric sensitivity analysis of plane trusses with a square grid topology

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica electrical engineering and computer science 2014年第2期58卷 55-68页

作者： Dóbé, Péter Domokos, Gábor Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Magyar tudósok krt 2. BudapestH-1117 Hungary Department of Mechanics Materials and Structures Faculty of Architecture Budapest University of Technology and Economics Muegyetem rkp. 3. BudapestH-1111 Hungary

A recent theory assigns a single scalar 0 ≤ r ≤ 1 to pin-jointed plane trusses, characterising their geometric sensitivity with respect to small displacements of individual joints. Here we investigate how r is varying in n x m minimally rigid quadrangulations and find that nontrivial patterns correspond both to maximal and minimal values of r. © 2014, Technical University of Budapest. All rights reserved.

关键词： Sensitivity analysis

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Educational Innovation: Interaction and Relationship Inside A Sub-Module

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Procedia - Social and Behavioral Sciences 2015年 186卷 395-400页

作者： Fernando Oterino-Echavarri Jose Manuel Lopez-Guede Ekaitz Zulueta Manuel Graña Department of Electronics University College of Engineering of Vitoria Basque Country University (UPV/EHU) C/Nieves Cano 12 01006 Vitoria-Gasteiz Spain Department of Systems Engineering and Automatic Control University College of Engineering of Vitoria Basque Country University (UPV/EHU) C/Nieves Cano 12 01006 Vitoria-Gasteiz Spain Computational Intelligence Group Basque Country University (UPV/EHU) Department of Computer Science and Artificial Intelligence Faculty of Informatics Basque Country University (UPV/EHU) Paseo Manuel de Lardizabal 1 20018 Donostia-San Sebastián Spain

In this paper authors will expose a work developed with the aim to submit an educational innovation project proposal to a competitive call for Educational Innovation Projects 2013-2015 of the Education Advisory Service of the Basque Country University (UPV/EHU, Spain). This project is being carried out in the Computer Structure and Computer Architecture sub-module of the Degree in Computer Management and Information Systems engineering of the University College of engineering of Vitoria-Gasteiz, University of the Basque Country (UPV/EHU). The project is based on the active learning, more specifically, on cooperative learning. In this paper we have given deeper insight the dependencies between all the subjects belonging to the analyzed sub-module, which is composed of two subjects named Computer Structure and Computer Architecture. We have included in such analysis a previous subject named Principles of Digital Systems Design, which does not belong to that sub-module, but plays an important role in the acquisition of the knowledge and competencies of the two previously referenced subjects.

关键词： Active Learning Cooperative Learning Computer engineering Computer Structure Computer Architecture

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Optimization of membership functions of Sugeno-Takagi fuzzy logic controllers with two inputs and one output using genetic algorithms

Optimization of membership functions of Sugeno-Takagi fuzzy ...

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International Symposium on Telecommunications (BIHTEL)

作者： Nadir Kapetanović Nedim Osmić Samim Konjicija Department for Automatic Control and Electronics Faculty of Electrical Engineering Sarajevo Sarajevo Bosnia and Herzegovina

It is well known that the process of tuning a fuzzy logic controller is almost always a very complex task, which is time consuming, very laborious and often requires expert knowledge of the controlled system. Mapping of fuzzy logic controller's parameters (rule base and membership functions of input(s) and output(s)) into a performance measure in a closed analytical form is near impossible to get, and thus the use of any classical optimization method is automatically ruled out. Knowing this, genetic algorithms with a fitness function in a form of cumulative response error represent a good choice of the optimization method. This approach enables the use of offline optimization of membership functions' parameters (which are being coded into chromosomes). Sugeno-Takagi fuzzy logic controllers with a proportional and a derivative component, and also with a fixed rule base are used in this approach. Experimental results of both simulations and validations on real systems are given in this paper and they show the good performance of this approach.

关键词： DC motors Optimization Biological cells Encoding Genetic algorithms Fuzzy sets Fuzzy logic

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Adaptive observer for nonlinear fractional-order systems

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International Journal of Adaptive control and Signal Processing 2016年第3期31卷

作者： Ibrahima N'doye Taous-Meriem Laleg-Kirati Mohamed Darouach Holger Voos Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia Research Center for Automatic Control of Nancy (CRAN UMR 7039 CNRS) University of Lorraine IUT de Longwy 186 rue de Lorraine 54400 Cosnes et Romain France Faculty of Science Technology and Communication (FSTC) University of Luxembourg 6 rue Richard Coudenhove-Kalergi L-1359 Luxembourg

In this paper, an adaptive observer is proposed for the joint estimation of states and parameters of a fractional nonlinear system with external perturbations. The convergence of the proposed observer is derived in terms of linear matrix inequalities (LMIs) by using an indirect Lyapunov *** proposed adaptive observer is also robust against Lipschitz additive nonlinear uncertainty. The performance of the observer is illustrated through some examples including the chaotic Lorenz and Lü's systems. Copyright © 2016 John Wiley & Sons, Ltd.

关键词： adaptive observer design fractional-order nonlinear system indirect Lyapunov approach linear matrix inequality (LMI) chaotic Lorenz system chaotic Lü's system

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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