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Mediterranean Conference on control and Automation (MED)

作者： Przemysław Herman Wojciech Kowalczyk Chair of Control and systems Engineering Poznan Univeristy of Technology Poznan Poland

ISBN: (纸本)9781479959020

In this paper, a global state feedback tracking controller for surface vehicles is presented. Here, the hovercraft robot model is considered. The controller is designed after transformation the vehicle equations of motion. The main feature of this controller is that it can be used both for fully actuated and underactuated systems. This feature arises from the fact that the dynamics of the vehicle is taken into consideration. The stability of the designed controller is demonstrated based on a Lyapunov method. The controller can be used, in general, for various moving systems as unmanned underwater vehicle, hovercrafts or airships. In this note however, simulation results on a 3-DOF underactuated hovercraft demonstrate the effectiveness of the given approach.

关键词： Vehicles Mathematical model Equations Matrix decomposition Symmetric matrices Vectors Trajectory

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Application of active disturbance rejection controller to water supply system

Application of active disturbance rejection controller to wa...

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Chinese control Conference (CCC)

作者： Rafał Madoński Marcin Nowicki Przemysław Herman Chair of Control and Systems Engineering Poznan University of Technology Poznan Poland

The work analyses the use of an active disturbance rejection control (ADRC) structure in a constant water pressure management system. The adaptability and robustness of the proposed control scheme significantly enhances the performance of a conventional PID-based output feedback control loop. The paper investigates the ADRC approach with a set of experiments conducted on a laboratory-scale model of a water supply system. The proposed approach is also compared with the results obtained for the sole conventional industrial PID controller.

关键词： Observers Water resources Pipelines Laboratories control systems Robustness Tuning

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Triangular Fuzzy Number Representation of Relations in Fuzzy Cognitive Maps

Triangular Fuzzy Number Representation of Relations in Fuzzy...

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IEEE International Conference on Fuzzy systems

作者： Engin Yesil M. Furkan Dodurka Leon Urbas Control and Automation Engineering Department Istanbul Technical University Istanbul Turkey Chair of Process Control Systems Engineering Technology University of Dresden Germany

In this paper, the conventional Fuzzy Cognitive Maps (FCMs), which has already achieved success in many fields, are extended by using triangular fuzzy numbers (TFNs). The advantage of FCMs is that they are relatively easy to construct and parameterize and are capable of handling the full range of system feedback structure, including density-dependent effects. However, it is a well-known fact that there are some limitations inherent in FCM, such as lack of adequate capability to handle uncertain information and lack of enough ability to aggregate the information from different sources. Triangular fuzzy numbers which are represented by a triplet has the capacity to represent the uncertain relations between the concepts. In this context, the weight matrix representing the causal relations are enhanced to a fuzzy weight matrix that has TFNs as element. As a result of this improvement, the dynamic reasoning algorithm of the conventional FCM is improved for the use of the proposed novel FCM. The proposed FCM is presented via four simulations and the results are discussed. The results of the simulation study shows how easily the uncertain information can be represented and interpreted by the proposed FCM design methodology.

关键词： Uncertainty Vectors Cognition Fuzzy sets Pragmatics Fuzzy cognitive maps Modeling

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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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Application of active disturbance rejection controller to water supply system

Application of active disturbance rejection controller to wa...

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第三十三届中国控制会议

作者： MADONSKI Rafa NOWICKI Marcin HERMAN Przemysaw Poznan University of Technology Chair of Control and Systems Engineeringul.Piotrowo 3a61-138PoznańPoland

The work analyses the use of an active disturbance rejection control(ADRC) structure in a constant water pressure management *** adaptability and robustness of the proposed control scheme significantly enhances the performance of a conventional PID-based output feedback control *** paper investigates the ADRC approach with a set of experiments conducted on a laboratory-scale model of a water supply *** proposed approach is also compared with the results obtained for the sole conventional industrial PID controller.

关键词： ADRC,PID,disturbance-rejection,process automation,PLC,water supply system,pressure control,waterwork

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Holistic Ontology-Based Assistance System for Efficient Process Model Parameter Identification

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Journal of Computational Engineering 2015年第1期2015卷

作者： Burkhard Hensel Thomas Wagner André Gellrich Klaus Kabitzsch Bernd Kauschinger Chair for Technical Information Systems Dresden University of Technology 01062 Dresden Germanytu-dresden.de Institute of Machine Tools and Control Engineering Dresden University of Technology 01062 Dresden Germanytu-dresden.de

Accurate models of technical systems are the basis for many tasks like system analysis, predictions, or controller design. Usually, the values of several important parameters cannot be determined by theoretical analysis only; instead, process identification is necessary. For several applications, the efficiency of the identification procedure is very important, for example, for the creation of thermal models of machine tools, because of the large time constants and the expensive machine time. The goal of the authors is the support of this task as far as possible by software. This paper contributes to that goal twofold: on the one hand, it provides a collection of influences which have to be considered for supporting the identification procedure. On the other hand, concepts for computer-based support are presented—ontologies and automatic design methods based on evolutionary algorithms.

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Quadratic H2 gain performance analysis of LPV systems with realization of parametric transfer function

Quadratic H2 gain performance analysis of LPV systems with r...

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第三十三届中国控制会议

作者： Zhongwei He Wei Xie College of Automation Science and Technology South China University of Technology Key Laboratory of Autonomous Systems and Network Control(South China University of Technology) Ministry of Education

ISBN: (纸本)9781479947249

Here,the performance analysis and design of state-feedback gain scheduling controller are addressed by using LPV realization of parametric transfer ***,based on the stable LPV realization of parametric transfer function,if the system has H2 gain performance for all fixed constant parameters,then it has quadratic H2 gain performance with the same bound for all its ***,according to linear matrix inequality optimal techniques,a simple procedure for achieving the performance index is ***,the state-feedback gain scheduling controller is designed to guarantee the stability and quadratic H2 gain performance for the closed-loop LPV ***,the effectiveness of the proposed method is verified via a numerical example.

关键词： Linear parameter-varying(LPV) systems parametric transfer function gain scheduling performance control

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A co-simulation platform for medium/low voltage monitoring and control applications

A co-simulation platform for medium/low voltage monitoring a...

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Innovative Smart Grid Technologies (ISGT)

作者： Mikel Armendariz Moustafa Chenine Lars Nordström Ahmad Al-Hammouri Department of Industrial Information and Control Systems KTH - Royal Institute of Technology Stockholm Sweden Department of Network Engineering and Security Jordan University of Science and Technology Irbid Jordan

The increasing demand for electricity and the penetration of renewable energy resources into the electrical grid are triggering the electric power system to undergo changes and complex modifications at high, medium and low voltage levels. There are large and complex projects like Smart Grid Gotland that are developing solutions to deal with these challenges. However, there are several scenarios that could be more practical to be first studied at the simulation level. Therefore, the purpose of this study is to propose and develop a co-simulation platform that allows performing real-time monitoring and control tests and simulations for MV/LV grids. This platform combines both electrical and information and communication technology (ICT) infrastructure simulations. It consists of a real-time power system simulator (Opal-RT) connected to a communication network emulator (OPNET) through an automatic meter reading interface that is based on commercial off-the-shelf (COTS) and low cost devices like Raspberry Pi and Arduino boards. The platform allows the analysis of realistic MV/LV grids and communication networks and will facilitate the simulation and comparison of low voltage control strategies for real-time test scenarios that could be more complicated to test in the reality due to cost and complexity aspects (i.e. high power losses on the low voltage grid).

关键词： Monitoring Power systems Real-time systems Communication networks IEC standards Electricity Protocols

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Erratum to “Quick attribute reduct algorithm for neighborhood rough set model” [Inform. Sci. 271 (2014) 65–81]

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Information Sciences 2015年 309卷 180-180页

作者： Liu Yong Huang Wenliang Jiang Yunliang Zeng Zhiyong Institute of Cyber Systems and Control Zhejiang University 310027 Hangzhou China State Key Laboratory of Industrial Control and Technology Zhejiang University 310027 Hangzhou China China United Network Communication Corporation 100032 Beijing China Huzhou Teachers College 313000 Huzhou China Stanford University Stanford CA 94305 USA

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