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IMC-PID controller Design for Power control Loop Based on Closed-loop Identification in the Frequency Domain

IFAC-PapersOnLine 2016年第4期49卷 79-84页

作者： Li, Xiao-Feng Chen, Gang Wang, Ya-Gang Instrument and Power Plant Control Department Electric Power Research Institute Guangdong Power Group Co. Guangzhou510080 China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Jungong Road Shanghai200093 China

This paper proposes a closed-loop identification method for the design of a robust PID controller of the turbine control loop in the boiler-turbine coordinated control system. The process model is firstly identified. In the identification procedure, set-point change tests are adopted to calculate the model based on process inputs and outputs in control loops. The process frequency-response matrix is estimated, and then a transform function matrix is obtained by least square method. The robust PID controller of the turbine control loop is designed by using the internal model control (IMC) method based on the obtained model. It is shown that the IMC-PID controller maintains the robust performance and minimizes the effects of the external disturbance in power system or the internal disturbances in the power plant. © 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： controllers Boiler control Closed loop control systems Design Electric control equipment Frequency response Least squares approximations Model predictive control Power control Proportional control systems Three term control systems Turbines Boiler turbine coordinated control systems Closed loop identification External disturbances H infinity controls Identification procedure IMC PID Internal model control Least square methods

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Colored petri net based diagnosis of process systems 30

Colored petri net based diagnosis of process systems

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30th European Simulation and Modelling Conference, ESM 2016

作者： Pózna, Anna I. Gerzson, Miklós Leitold, Adrien Hangos, Katalin M. Department of Electrical Engineering and Information Systems Hungary Deparment of Mathematics University of Pannonia P.O.B. 158 VeszprémH-8201 Hungary Process Control Research Group Computer and Automation Research Institute P.O.B. 63 BudapestH-1518 Hungary

ISBN: (纸本)9789077381953

An improved diagnosis method of technological systems is proposed in this paper that is based on their qualitative colored Petri-net model (Leitold et al. 2014). The proposed diagnosis method can be used when more than one fault occur in the system and if the fault evolves during the operation of the system. In order to make the diagnosis of complex process systems computationally feasible, a structural decomposition method is introduced to reduce the size of their occurrence graphs and to make the diagnosis easier. The proposed methods are illustrated on examples.

关键词： Fault detection

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Heuristic regression method for descriptive data analysis 16

Heuristic regression method for descriptive data analysis

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16th International Conference on Environment and Electrical engineering, EEEIC 2016

作者： Gomes, Flavio A. Gomes, Viviane M. Assis, Alfredo De O. Reis, Marcio R. Da C. Da Cruz, Gelson Calixto, Wesley P. Electrical Mechanical and Computer Engineering School University of Goias Brazil Experimental and Technological Research and Study Group Federal Institute of Goias Brazil Program in Electronic Systems and Automation University of Brasilia Brazil

ISBN: (纸本)9781509023196

The purpose of this paper is to use the hybridized optimization method in order to find mathematical structures for analysis of experimental data. The heuristic optimization method will be hybridized with deterministic optimization method in order to that structures found require not knowledge about data generated experimentally. Three case studies are proposed and discussed to validate the results. The proposed method has viable solution for the analysis of experimental data and extrapolation, with mathematical expression reduced. © 2016 IEEE.

关键词： Heuristic methods

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Where Does AlphaGo Go: From Church-Turing Thesis to AlphaGo Thesis and Beyond

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IEEE/CAA Journal of Automatica Sinica 2016年第2期3卷 113-120页

作者： Fei-Yue Wang Jun Jason Zhang Xinhu Zheng Xiao Wang Yong Yuan Xiaoxiao Dai Jie Zhang Liuqing Yang IEEE the State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences (SKL-MCCS CASIA) Research Center of Computational Experiments and Parallel Systems The National University of Defense Technology the Department of Electrical and Computer Engineering Ritchie School of Engineering and Computer Science University of Denver the Department of Computer Science and Engineering University of Minnesota the Qingdao Academy of Intelligent Industries (QAII) Qingdao Shandong China and SKL-MCCS CASIA the Department of Electrical and Computer Engineering Colorado State University

An investigation on the impact and significance of the AlphaGo vs. Lee Sedol Go match is conducted, and concludes with a conjecture of the AlphaGo Thesis and its extension in accordance with the Church-Turing Thesis in the history of computing. It is postulated that the architecture and method utilized by the AlphaGo program provide an engineering solution for tackling issues in complexity and intelligence. Specifically, the AlphaGo Thesis implies that any effective procedure for hard decision problems such as NP-hard can be implemented with AlphaGo-like approach. Deep rule-based networks are proposed in attempt to establish an understandable structure for deep neural networks in deep learning. The success of AlphaGo and corresponding thesis ensure the technical soundness of the parallel intelligence approach for intelligent control and management of complex systems and knowledge automation. © 2014 Chinese Association of automation.

关键词： Religious buildings

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Robust and Fault-Tolerant control of In-Wheel Vehicles with Cornering Resistance Minimization

Robust and Fault-Tolerant Control of In-Wheel Vehicles with ...

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European control Conference

作者： András Mihály Péter Gáspár Institute for Computer Science and Control Hungarian Academy of Sciences and MTA- BME Control Engineering Research Group Hungary Institute for Computer Science and Control Hungarian Academy of Sciences and MTA-BME Control Engineering Research Group Hungary

ISBN: (纸本)9781509025923

The paper proposes a robust fault-tolerant trajectory and velocity tracking control for a four-wheel independently-actuated (4WIA) vehicle operated by in-wheel electric motors and a steer-by-wire steering system. The vehicle is basically operated with in-wheel motors using torque vectoring during cornering, thus steering is only applied when the vehicle is skidding, an electric motor has failed or the cornering maneuver is more efficiently realizable with applying a given amount of steering angle. A reconfigurable method is applied, which is capable of reallocating the actuator inputs in order to minimize cornering resistance and the consequent power loss of the in-wheel motors. In case of skidding or in-wheel motor failure, the energy optimal control allocation is substituted for by a fault-tolerant actuator intervention. The high-level reconfiguration control of the 4WIA is based on the LPV (Linear Parameter Varying) method, while the cornering resistance minimization and wheel torque allocation are based on constrained optimization techniques. The operation of the energy optimal and fault-tolerant control is demonstrated in the CarSim simulation environment.

关键词： Robust Fault-Tolerant control In-Wheel Vehicles

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Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program

arXiv

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arXiv 2019年

作者： Snyder, Michael P. Lin, Shin Posgai, Amanda Atkinson, Mark Regev, Aviv Rood, Jennifer Rozenblatt-Rosen, Orit Gaffney, Leslie Hupalowska, Anna Satija, Rahul Gehlenborg, Nils Shendure, Jay Laskin, Julia Harbury, Pehr Nystrom, Nicholas A. Bar-Joseph, Ziv Zhang, Kun Börner, Katy Lin, Yiing Conroy, Richard Procaccini, Dena Roy, Ananda L. Pillai, Ajay Brown, Marishka Galis, Zorina S. Cai, Long Shendure, Jay Trapnell, Cole Lin, Shin Jackson, Dana Snyder, Michael P. Nolan, Garry Greenleaf, William James Lin, Yiing Plevritis, Sylvia Ahadi, Sara Lee, Hayan Nevins, Stephanie Esplin, Ed Horning, Aaron Bahmani, Amir Zhang, Kun Sun, Xin Jain, Sanjay Hagood, James Kharchenko, Peter Atkinson, Mark Bodenmiller, Bernd Brusko, Todd Clare-Salzler, Michael Nick, Harry Otto, Kevin Posgai, Amanda Wasserfall, Clive Maffioletti, Sergio Caprioli, Richard M. Spraggins, Jeffrey M. Gutierrez, Danielle Patterson, Nathan Heath Neumann, Elizabeth K. Harris, Raymond deCaestecker, Mark de Plas, Raf Van Lau, Ken Cai, Long Yuan, Guo-Cheng Zhu, Qian Dries, Ruben Yin, Peng Saka, Sinem K. Kishi, Jocelyn Y. Wang, Yu Goldaracena, Isabel Laskin, Julia Ye, DongHye Burnum-Johnson, Kristin E. Piehowski, Paul D. Ansong, Charles Zhu, Ying Harbury, Pehr Desai, Tushar Mulye, Jay Chou, Peter Nagendran, Monica Bar-Joseph, Ziv Teichmann, Sarah A. Paten, Benedict Murphy, Robert F. Ma, Jian Kiselev, Vladimir Yu Kingsford, Carl Ricarte, Allyson Ruffalo, Matthew Gehlenborg, Nils Kharchenko, Peter Vella, Margaret McCallum, Chuck Börner, Katy Cross, Leonard E. Friedman, Samuel H. Heiland, Randy Herr, Bruce Macklin, Paul Quardokus, Ellen M. Record, Lisel Sluka, James P. Weber, Griffin M. Nystrom, Nicholas A. Silverstein, Jonathan C. Blood, Philip D. Ropelewski, Alexander J. Shirey, William E. Mabee, Paula Lenhardt, W. Christopher Robasky, Kimberly Michailidis, Stavros Satija, Rahul Marioni, John Regev, Aviv Butler, Andrew Stuart, Tim Fisher, Eyal Ghazanfar, Shila Rood, Jennifer Gaffney, Leslie Ersalan, Gokcen Biancalani, Tommaso Conroy, Richard Procaccini, Dena Roy, Anan School of Medicine Stanford University 300 Pasteur Drive United States Department of Genetics Stanford School of Medicine StanfordCA94305 United States Department of Medicine University of Washington SeattleWA98195 United States Department of Pathology University of Florida Diabetes Institute GainesvilleFL32610 United States Klarman Cell Observatory Broad Institute of MIT and Harvard CambridgeMA02142 United States Howard Hughes Medical Institute Koch Institute of Integrative Cancer Research Department of Biology Massachusetts Institute of Technology CambridgeMA02140 United States New York Genome Center New York CityNY10013 United States New York University New YorkNY10012 United States Department of Biomedical Informatics Harvard Medical School BostonMA02115 United States Department of Genome Sciences University of Washington SeattleWA98105 United States Department of Chemistry Purdue University West LafayetteIN47907 United States Department of Biochemistry Stanford University School of Medicine StanfordCA94305 United States Pittsburgh Supercomputing Center Carnegie Mellon University PittsburghPA15213 United States Department of Computational Biology School of Computer Science Carnegie Mellon University PittsburghPA15213 United States Department of Bioengineering University of California San Diego La JollaCA92093 United States Department of Intelligent Systems Engineering School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States Department of Surgery Washington University School of Medicine St LouisMO63110 United States Division of Program Coordination Planning and Strategic Initiatives National Institutes of Health BethesdaMD20892 United States National Human Genome Research Institute National Institutes of Health BethesdaMD20892 United States National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Caltech-UW TMC Departmen

Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years, the NIH Common Fund Human Biomolecular Atlas Program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping. HuBMAP will integrate its efforts with other funding agencies, programs, consortia, and the biomedical research community at large towards the shared vision of a comprehensive, accessible 3D molecular and cellular atlas of the human body, in health and various disease settings. Copyright © 2019, The Authors. All rights reserved.

关键词： Mapping

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Publisher Correction: Transcriptomic alterations during ageing reflect the shift from cancer to degenerative diseases in the elderly

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Nature communications 2019年第1期10卷 2459页

作者： Peer Aramillo Irizar Sascha Schäuble Daniela Esser Marco Groth Christiane Frahm Steffen Priebe Mario Baumgart Nils Hartmann Shiva Marthandan Uwe Menzel Jule Müller Silvio Schmidt Volker Ast Amke Caliebe Rainer König Michael Krawczak Michael Ristow Stefan Schuster Alessandro Cellerino Stephan Diekmann Christoph Englert Peter Hemmerich Jürgen Sühnel Reinhard Guthke Otto W Witte Matthias Platzer Eytan Ruppin Christoph Kaleta Research Group Medical Systems Biology Institute of Experimental Medicine Christian-Albrechts-University Kiel D-24105 Kiel Germany. Jena University Language and Information Engineering Lab Friedrich-Schiller-University Jena D-07743 Jena Germany. GerontoSys JenAge Consortium D-07745 Jena Germany. Genome Analysis Lab Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Hans Berger Department of Neurology Jena University Hospital D-07747 Jena Germany. Systems Biology and Bioinformatics Group Leibniz Institute for Natural Product Research and Infection Biology-Hans-Knöll-Institute D-07745 Jena Germany. Biology of Ageing Lab Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Molecular Genetics Lab Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Imageing Facility Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Integrated Research and Treatment Center Center for Sepsis Control and Care (CSCC) Jena University Hospital D-07747 Jena Germany. Network Modeling Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute D-07745 Jena Germany. Institute for Medical Informatics and Statistics Christian-Albrechts-University Kiel D-24105 Kiel Germany. Energy Metabolism Laboratory Swiss Federal Institute of Technology (ETH) Zurich Schwerzenbach/Zürich CH-8603 Switzerland. Department of Bioinformatics Friedrich-Schiller-University Jena D-07743 Jena Germany. Laboratory of Neurobiology Scuola Normale Superiore University of Pisa I-56100 Pisa Italy. Molecular Biology Lab Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Faculty of Biology and Pharmacy Friedrich-Schiller-University Jena D-07743 Jena Germany. Biocomputing Lab Leibniz Institute on Aging-Fritz-Lipmann-Institute D-07745 Jena Germany. Department of Computer Science and Center for Bioinformatics and Computational Biology University of Maryland College Park M

The original version of this Article contained an error in the spelling of the author Jule Müller, which was incorrectly given as Julia Müller. Additionally, in Fig. 4a, the blue-red colour scale for fold change in ageing/disease regulation included a blue stripe in place of a red stripe at the right-hand end of the scale. These errors have been corrected in both the PDF and HTML versions of the Article.

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Soil resistivity study and simulation with finite elements method 16

Soil resistivity study and simulation with finite elements m...

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16th International Conference on Environment and Electrical engineering, EEEIC 2016

作者： Pereira, Thiago Martins De Lima, Rodrigo Alves Gomes, Viviane Margarida Gutembergue, Sostenes Alves, Aylton Jose Calixto, Wesley Pacheco Electrical Mechanical and Computer Engineering School EMC Federal University of Goias UFG Brazil Experimental and Technological Research and Study Group NExT Federal Institute of Goias IFG Brazil Program in Electronic Systems and Automation PGEA University of Brasilia UnB Brazil

ISBN: (纸本)9781509023196

This work purpose is to study the influence of concrete buried structures in grounding systems. Comparison of soil characteristics between dry and rainy seasons and soil electrical behavior was carried out. Simulations in finite element method was performed for tree layer stratified soil and the electrostatic equipotential surfaces were mapped into the region of interest. © 2016 IEEE.

关键词： Finite element method

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Jordan algebra and control theory

Jordan algebra and control theory

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European control Conference

作者： Z. Szabó J. Bokor Institute for Computer Science and Control Hungarian Academy of Sciences Hungary Institute for Computer Science and Control Hungarian Academy of Sciences Hungary MTA-BME Control Engineering Research Group

ISBN: (纸本)9781509025923

In order to understand the governing principles of a specific topic, e.g., control design, and to be able to design efficient algorithms a sound mathematical framework is needed. Due to the complexity of the problems, however, there are different mathematical tools that fit to our needs and which highlights specifics aspects of a given field. In the recent research of the authors concerning global geometrical aspects of robust control theory it turns out that the proper mathematical language for the considerations seems to be a Jordan algebraic one, more precisely the framework of the Jordan pairs that is closely related to geometric, generalised projective geometric ideas. Moreover, this mathematical framework is closely related to the theory of unbounded and bounded symmetrical domains, where we can rediscover the concept of quadratic invariance, an efficient tool for the design of decentralized control systems. Since these mathematical tools seem to be completely unused in the previous control theoretical researches, in this paper we try to give a glimpse on the field. Our aim is to point out the main connections of this mathematical framework and control theory and to illustrate the potential of the framework for control problems.

关键词： Jordan algebra control theory potential

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LPV-based integrated vehicle control design considering the nonlinear characteristics of the tire

LPV-based integrated vehicle control design considering the ...

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American control Conference

作者： Balazs Nemeth Peter Gaspar Jozsef Bokor Systems and Control Laboratory Institute for Computer Science and Control Hungarian Academy of Sciences Hungary Institute for Computer Science and Control Hungarian Academy of Sciences and MTABME Control Engineering Research Group Hungary

ISBN: (纸本)9781467386838

The paper develops the design of an integrated vehicle control which provides the coordination of both the steering and the brake control and the priority in their activations for lateral vehicle dynamics. The control design is based on the LPV (Linear Parameter Varying) method, in which the results of the analysis, which based on the invariant set and carried out by the SOS (Sum-of-Squares) method, are exploited. In both the modeling and the control design the polynomial form of the nonlinear characteristics of the tire is considered. The proposed method guarantees performances by using two coordinated control systems in critical maneuvers, which is illustrated through a simulation example.

关键词： Tires Vehicles control design Vehicle dynamics Mathematical model Centralized control design control Vehicle dynamics INTEGRATED SHIP control tyres vehicle Mathematical Model Vehicle control braking control non-linear characteristic

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