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arXiv 2020年

作者： Rast, Mark P. Bello González, Nazaret Bellot Rubio, Luis Cao, Wenda Cauzzi, Gianna DeLuca, Edward de Pontieu, Bart Fletcher, Lyndsay Gibson, Sarah E. Judge, Philip G. Katsukawa, Yukio Kazachenko, Maria D. Khomenko, Elena Landi, Enrico Martínez Pillet, Valentin Petrie, Gordon J.D. Qiu, Jiong Rachmeler, Laurel A. Rempel, Matthias Schmidt, Wolfgang Scullion, Eamon Sun, Xudong Welsch, Brian T. Andretta, Vincenzo Antolin, Patrick Ayres, Thomas R. Balasubramaniam, K.S. Ballai, Istvan Berger, Thomas E. Bradshaw, Stephen J. Carlsson, Mats Casini, Roberto Centeno, Rebecca Cranmer, Steven DeForest, Craig Deng, Yuanyong Erdélyi, Robertus Fedun, Viktor Fischer, Catherine E. González Manrique, Sergio J. Hahn, Michael Harra, Louise Henriques, Vasco M.J. Hurlburt, Neal E. Jaeggli, Sarah Jafarzadeh, Shahin Jain, Rekha Jefferies, Stuart M. Keys, Peter H. Kowalski, Adam F. Kuckein, Christoph Kuhn, Jeffrey R. Liu, Jiajia Liu, Wei Longcope, Dana James McAteer, R.T. McIntosh, Scott W. McKenzie, David E. Paz Miralles, Mari Morton, Richard J. Muglach, Karin Nelson, Chris J. Panesar, Navdeep K. Parenti, Susanna Parnell, Clare E. Poduval, Bala Reardon, Kevin P. Reep, Jeffrey W. Schad, Thomas A. Schmit, Donald Sharma, Rahul Socas-Navarro, Hector Srivastava, Abhishek K. Sterling, Alphonse C. Suematsu, Yoshinori Tarr, Lucas A. Tiwari, Sanjiv Alexandra, Tritschler Verth, Gary Vourlidas, Angelos Wang, Haimin Wang, Yi-Ming Department of Astrophysical and Planetary Sciences University of Colorado BoulderCO80309 United States Laboratory for Atmospheric and Space Physics University of Colorado BoulderCO80303 United States Kiepenheuer-Institut für Sonnenphysik Freiburg79104 Germany GranadaE-18080 Spain Big Bear Solar Observatory New Jersey Institute of Technology Big Bear CityCA92314 United States National Solar Observatory BoulderCO80303 United States Harvard-Smithsonian Center for Astrophysics CambridgeMA02138 United States Lockheed Martin Solar & Astrophysics Laboratory Palo AltoCA94304 United States Institute of Theoretical Astrophysics Rosseland Centre for Solar Physics University of Oslo OsloN-0315 Norway School of Physics and Astronomy University of Glasgow GlasgowG12 8QQ United Kingdom High Altitude Observatory National Center for Atmospheric Research BoulderCO80307 United States Department of Astronomical Science School of Physical Sciences The Graduate University for Advanced Studies SOKENDAI Tokyo181-8588 Japan National Astronomical Observatory of Japan National Institutes of Natural Science Tokyo181-8588 Japan Instituto de Astrofísica de Canarias La Laguna Tenerife38205 Spain Department of Climate and Space Sciences and Engineering University of Michigan Ann ArborMI48109 United States Department of Physics Montana State University BozemanMT59717 United States NOAA National Centers for Environmental Information BoulderCO80305 United States Department of Mathematics Physics and Electrical Engineering Northumbria University Newcastle upon TyneNE1 8ST United Kingdom Institute for Astronomy University of Hawaii PukalaniHI96768 United States Department of Natural and Applied Sciences University of Wisconsin Green BayWI54311 United States INAF Osservatorio Astronomico di Capodimonte Naples80131 Italy Center for Astrophysics and Space Astronomy University of Colorado BoulderCO80309 United States AFRL Battlespace Environment Division

The Daniel K. Inouye Solar Telescope (DKIST) will revolutionize our ability to measure, understand and model the basic physical processes that control the structure and dynamics of the Sun and its atmosphere. The first-light DKIST images, released publicly on 29 January 2020, only hint at the extraordinary capabilities which will accompany full commissioning of the five facility instruments. With this Critical Science Plan (CSP) we attempt to anticipate some of what those capabilities will enable, providing a snapshot of some of the scientific pursuits that the Daniel K. Inouye Solar Telescope hopes to engage as start-of-operations nears. The work builds on the combined contributions of the DKIST Science Working Group (SWG) and CSP Community members46, who generously shared their experiences, plans, knowledge and dreams. Discussion is primarily focused on those issues to which DKIST will uniquely contribute. Copyright © 2020, The Authors. All rights reserved.

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The Risks and Rewards of Conditioning Noncooperative Designs to Additional Information

The Risks and Rewards of Conditioning Noncooperative Designs...

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Annual Allerton Conference on Communication, control, and Computing

作者： Dario Paccagnan Jason R. Marden Department of Electrical and Computer Engineering University of California Santa Barbara USA Automatic Control Laboratory Swiss Federal Institute of Technology Zurich Switzerland

A fundamental challenge in multiagent systems is to design local control algorithms to ensure a desirable collective behaviour. The information available to the agents, gathered either through communication or sensing, defines the structure of the admissible control laws and naturally restricts the achievable performance. Hence, it is fundamental to identify what piece of information can be used to produce a significant performance enhancement. This paper studies, within a class of resource allocation problems, the case when such information is uncertain or inaccessible and pinpoints a fundamental risk-reward tradeoff faced by the system designer.

关键词： Games Resource management Upper bound Algorithm design and analysis Robot sensing systems Distributed algorithms

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Estimation and measurement of closed-loop delays in the actual WACS of Guizhou Power Grid

Estimation and measurement of closed-loop delays in the actu...

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2016 IEEE Power and Energy Society General Meeting, PESGM 2016

作者： Zhang, Fang Cheng, Lin Li, Xiong Min, Zeng Sun, Yuanzhang Chow, Joe H. State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China School of Electrical Engineering Wuhan University China Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute TroyNY12180 United States

ISBN: (纸本)9781509041688

The characterization of the closed-loop delays in a wide-area control system (WACS) is an important foundation for further research. The method to estimate and measure the closed-loop delay in actual WACSs were proposed in this paper. Then, the closed-loop delays in the actual WACS in Guizhou Power Grid in China were measured and analyzed. Also, the measured delays were used to verify the normal distribution estimation model proposed in previous research. The results indicate that the closed-loop delay in the WACS followed a normal distribution. © 2016 IEEE.

关键词： Normal distribution

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Self adaptation of chimera states

arXiv

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arXiv 2018年

作者： Yao, Nan Huang, Zi-Gang Ren, Hai-Peng Grebogi, Celso Lai, Ying-Cheng Department of Applied Physics Xi’an University of Technology Xi’an710048 China School of Life Science and Technology Xi’an Jiao Tong University Xi’an710049 China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an710048 China Institute for Complex Systems and Mathematical Biology King’s College University of Aberdeen AberdeenAB24 3UE United Kingdom School of Electrical Computer and Energy Engineering Arizona State University TempeAZ85287 United States Department of Physics Arizona State University TempeAZ85287 United States

Chimera states in spatiotemporal dynamical systems have been investigated in physical, chemical, and biological systems, and have been shown to be robust against random perturbations. How do chimera states achieve their robustness? We uncover a self-adaptation behavior by which, upon a spatially localized perturbation, the coherent component of the chimera state spontaneously drifts to an optimal location as far away from the perturbation as possible, exposing only its incoherent component to the perturbation to minimize the disturbance. A systematic numerical analysis of the evolution of the spatiotemporal pattern of the chimera state towards the optimal stable state reveals an exponential relaxation process independent of the spatial location of the perturbation, implying that its effects can be modeled as restoring and damping forces in a mechanical system and enabling the articulation of a phenomenological model. Not only is the model able to reproduce the numerical results, it can also predict the trajectory of drifting. Our finding is striking as it reveals that, inherently, chimera states possess a kind of "intelligence" in achieving robustness through self adaptation. The behavior can be exploited for controlled generation of chimera states with their coherent component placed in any desired spatial region of the system. Copyright © 2018, The Authors. All rights reserved.

关键词： Dynamical systems

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Mobile post-emergency monitoring system for nuclear power plants 12

Mobile post-emergency monitoring system for nuclear power pl...

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12th International Conference on ICT in Education, Research and Industrial Applications, ICTERI 2016

作者： Sachenko, Anatoliy Kochan, Volodymyr Kharchenko, Vyacheslav Roth, Hubert Yatskiv, Vasyl Chernyshov, Mykhaylo Bykovyy, Pavlo Roshchupkin, Oleksiy Koval, Vasyl Fesenko, Herman Department of Information Computer Systems and Control Ternopil National Economic University Ukraine Ukraine Institute of Automatic Control Engineering Department of Electrical Engineering and Computer Science University of Siegen Germany WESTRON Kharkiv Ukraine Yuriy Fedkovych Chernivtsi National University Ukraine O.M. Beketov National University of Urban Economy Kharkiv Ukraine

In this paper, a concept of designing the post-emergency system for monitoring the equipment and territory of nuclear power plant after a severe accident was developed. Power and communications network lines are found out as the most vulnerable ones during the accident monitoring, and self-descriptiveness and survivability and veracity are recognized as system basic parameters. To ensure the self-descriptiveness it's proposed to equip measurement and control modules with backup wireless communication channels and deploy the repeaters network based on drones. To provide the survivability modules possess the backup power battery, and repeaters appear in the appropriate places after the accident. Moreover an optimization of drone's location is proposed according to the minimum energy consumption criterion. To ensure the veracity it's expected to design the noise-immune protocol for message exchange and archiving and self-diagnostics of all system components. Formulas for estimating the reliability level of the post-emergency monitoring system were obtained. © 2016 by the paper authors.

关键词： Drones

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Reconstruction of unknown Petri net structures from asynchronous observations of token change sequences

Reconstruction of unknown Petri net structures from asynchro...

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2016 IEEE International Conference on Automation Science and engineering, CASE 2016

作者： Ruan, Keyu Wu, Weimin Li, Lingxi Department of Electrical and Computer Engineering Purdue School of Engineering and Technology Indiana University IndianapolisIN46202 United States State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Yuquan Campus Hangzhou310027 China

ISBN: (纸本)9781509024094

In this paper, we propose an approach for reconstructing Petri net structures from asynchronous observations of token change sequences. In particular, we develop an algorithm that can deal with observations that have finite-length and is able to reconstruct the underlying Petri net structures with complexity that is polynomial in the number of transitions in the net. Note that the observed token change sequences implicitly provide us with information about the initial marking and the number of places in the Petri net. The proposed algorithm is able to find optimal structure(s) in terms of the minimum number of transitions and the minimum number of connections (i.e., the number of nonzero entries in the incident matrix) needed to match the given observations. Furthermore, we develop an updating algorithm to quickly check whether the identified Petri net structure matches future observations. © 2016 IEEE.

关键词： Petri nets

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Optimal distributed control for platooning via sparse coprime factorizations

Optimal distributed control for platooning via sparse coprim...

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2016 American control Conference, ACC 2016

作者： SabǍu, Şerban OarǍ, Cristian Warnick, Sean Jadbabaie, Ali Electrical and Computer Engineering Dept. Stevens Institute of Technology HobokenNJ United States Automatic Control Dept. University Politehnica Bucharest Romania Information and Decision Algorithms Laboratories Faculty of the Computer Science Department Brigham Young University United States Electrical and Systems Engineering Dept. University of Pennsylvania United States

ISBN: (纸本)9781467386821

We introduce a novel distributed control architecture for disturbances attenuation in heterogeneous platoons of linear and time-invariant autonomous agents that inherits the performance achievable by the leader-follower control policies. We provide a Youla-like parameterization for the class of all distributed controllers such that the sparsity constraints are imposed on the controllers' left coprime factors, outlining a new concept of structural constraints in distributed control. The proposed scheme lends itself to optimal controller design via norm based costs, it guarantees string stability and completely eliminates the accordion effect from the behavior of the platoon. The distributed controller is proven to attain global optimality for heterogeneous platoons and H2 costs and can easily reconfigure such as to remain optimal during formation merging/exiting maneuvers. The scheme is amenable to a GPS time base synchronization mechanism, allowing for the exact compensation of the time delays induced by the wireless communications. © 2016 American automatic control Council (AACC).

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Set-up of active magnetic bearings for control of flexible shaft

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AIP Conference Proceedings 2018年第1期2029卷

作者： Adam Piłat Bartosz Sikora Jan Klocek Jan Cieślik 1AGH University of Science and Technology Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Automatic Control and Robotics Mickiewicza 30 30-059 Krakow Poland 2Optister Jalowcowa 50 31-329 Krakow Poland 3AGH University of Science and Technology Faculty of Mechanical Engineering and Robotics Department of Manufacturing Systems Mickiewicza 30 30-059 Krakow Poland

This paper presents the new laboratory test rig of the vertical axis flexible shaft supported by two active magnetic bearings. Behind the motivation of establishing this setup is the control of vibration modes of the flexible rotor - shaft assembly, while the rotational speed varies and the unbalanced mass on the whirling disc is introduced to the system. The proposed model is aimed to simulate real operation conditions of the rotating machinery with an applied external load, with a variable structure caused by a change of material properties of the rotor - shaft assembly, or due to a fault of some elements coupled with the rotor.

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Distributed kalman filter in a network of linear dynamical systems

arXiv

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arXiv 2017年

作者： Marelli, Damián Zamani, Mohsen Fu, Minyue Department of Control Science and Engineering State Key Laboratory of Industrial Control Technology Zhejiang University 388 Yuhangtang Road Hangzhou Zhejiang Province310058 French-Argentinean International Center for Information and Systems Sciences National Scientific and Technical Research Council Ocampo Esmeralda Rosario2000 Argentina School of Electrical Engineering and Computer Science University of Newcastle University Drive CallaghanNSW2308 Australia

This paper is concerned with the problem of distributed Kalman filtering in a network of interconnected subsystems with distributed control protocols. We consider networks, which can be either homogeneous or heterogeneous, of linear time-invariant subsystems, given in the state-space form. We propose a distributed Kalman filtering scheme for this setup. The proposed method provides, at each node, an estimation of the state parameter, only based on locally available measurements and those from the neighbor nodes. The special feature of this method is that it exploits the particular structure of the considered network to obtain an estimate using only one prediction/update step at each time step. We show that the estimate produced by the proposed method asymptotically approaches that of the centralized Kalman filter, i.e., the optimal one with global knowledge of all network parameters, and we are able to bound the convergence rate. Moreover, if the initial states of all subsystems are mutually uncorrelated, the estimates of these two schemes are identical at each time step. Copyright © 2017, The Authors. All rights reserved.

关键词： Kalman filters

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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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