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13th International Conference on Language Resources and Evaluation Conference, LREC 2022

作者： Batsuren, Khuyagbaatar Goldman, Omer Khalifa, Salam Habash, Nizar Kieraś, Witold Bella, Gábor Leonard, Brian Nicolai, Garrett Gorman, Kyle Ghanggo Ate, Yustinus Ryskina, Maria Mielke, Sabrina Budianskaya, Elena El-Khaissi, Charbel Pimentel, Tiago Gasser, Michael Lane, William Raj, Mohit Coler, Matt Samame, Jaime Rafael Montoya Camaiteri, Delio Siticonatzi Rojas, Esaú Zumaeta Francis, Didier L. Oncevay, Arturo Bautista, Juan L. Villegas, Gema Celeste Silva Hennigen, Lucas Torroba Ek, Adam Guriel, David Dirix, Peter Bernardy, Jean-Philippe Scherbakov, Andrey Bayyr-Ool, Aziyana Anastasopoulos, Antonios Zariquiey, Roberto Sheifer, Karina Ganieva, Sofya Cruz, Hilaria Karahóǧa, Ritván Markantonatou, Stella Pavlidis, George Plugaryov, Matvey Klyachko, Elena Salehi, Ali Angulo, Candy Baxi, Jatayu Krizhanovsky, Andrew Krizhanovsky, Natalia Salesky, Elizabeth Vania, Clara Ivanova, Sardana White, Jennifer Maudslay, Rowan Hall Valvoda, Josef Zmigrod, Ran Czarnowska, Paula Nikkarinen, Irene Salchak, Aelita Bhatt, Brijesh Straughn, Christopher Liu, Zoey Washington, Jonathan North Pinter, Yuval Ataman, Duygu Woliński, Marcin Suhardijanto, Totok Yablonskaya, Anna Stoehr, Niklas Dolatian, Hossep Nuriah, Zahroh Ratan, Shyam Tyers, Francis M. Ponti, Edoardo M. Aiton, Grant Arora, Aryaman Hatcher, Richard J. Kumar, Ritesh Young, Jeremiah Rodionova, Daria Yemelina, Anastasia Andrushko, Taras Marchenko, Igor Mashkovtseva, Polina Serova, Alexandra Prud'Hommeaux, Emily Nepomniashchaya, Maria Giunchiglia, Fausto Chodroff, Eleanor Hulden, Mans Silfverberg, Miikka McCarthy, Arya D. Yarowsky, David Cotterell, Ryan Tsarfaty, Reut Vylomova, Ekaterina National University of Mongolia Mongolia Bar-Ilan University Israel Johns Hopkins University United States University of Trento Italy University of York United Kingdom Carnegie Mellon University United States Brian Leonard Consulting Indiana University United States University of British Columbia Canada Dharmsinh Desai University India New York University Abu Dhabi United Arab Emirates University of Cambridge United Kingdom University of Gothenburg Sweden University of Oregon United States Australian National University Australia ILSP Athena RC University of Groningen Netherlands KU Leuven Belgium University of Louisville United States University of Edinburgh United Kingdom Pontificia Universidad Católica del Perú Peru Universidad Católica Sedes Sapientiae Filial Atalaya Peru Institute of Philology of the Siberian Branch of the Russian Academy of Sciences Russia Moscow State University Russia Boston College United States Higher School of Economics Institute of Linguistics Russian Academy of Sciences Russia STKIP Weetebula Institute for System Programming Russian Academy of Sciences Russia University at Buffalo United States Karelian Research Centre of the Russian Academy of Sciences Russia Swarthmore College United States New York University United States Northeastern Illinois University United States University of Helsinki Finland Tuvan State University Russia Georgetown University United States Charles Darwin University Australia Institute of Computer Science Polish Academy of Sciences Poland Universitas Indonesia Indonesia Stony Brook University United States Dr. Bhimrao Ambedkar University India Mila/McGill University Montreal Canada University of Colorado Boulder United States Graduate Center City University of New York United States George Mason University United States Ben-Gurion University of the Negev Israel ETH Zürich Switzerland University of Melbourne Australia

ISBN: (纸本)9791095546726

The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological inflection tables for hundreds of diverse world languages. The project comprises two major thrusts: a language-independent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema. This paper presents the expansions and improvements made on several fronts over the last couple of years (since McCarthy et al. (2020)). Collaborative efforts by numerous linguists have added 67 new languages, including 30 endangered languages. We have implemented several improvements to the extraction pipeline to tackle some issues, e.g. missing gender and macron information. We have also amended the schema to use a hierarchical structure that is needed for morphological phenomena like multiple-argument agreement and case stacking, while adding some missing morphological features to make the schema more inclusive. In light of the last UniMorph release, we also augmented the database with morpheme segmentation for 16 languages. Lastly, this new release makes a push towards inclusion of derivational morphology in UniMorph by enriching the data and annotation schema with instances representing derivational processes from MorphyNet. © European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0.

关键词： Morphology

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Automated Analog programming In Hybrid systems: A Method of Making the Analog Computer Accessible to All Engineers

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Naval Engineers Journal 1966年第5期78卷 895-899页

作者： HANNA, ENSIGN JOHN H. MILLAN, ENSIGN HAROLD E. The Authors are 1966 graduates of the United States Coast Guard Academy. For the past year they have been engaged in the Academy Scholars Program which allows selected First Class Cadets at the Academy to devote the greater percentage of their academic hours to advanced study. Their investigation was entitled “Project AMTRAP” Automated Methods for Translating and Patching in Hybrid Systems. It concerned itself with the development of automatic methods for programming analog computers and the design and construction of a simple hybrid system for test purposes. Their work in the project forms the basis for this paper. They are currently assigned as student engineers on Coast Guard Cutters Ensign Hanna on the CASTLE ROCK in Boston Massachusetts and Ensign Millan on the MENDOTA based in Wilmington North Carolina. Both are members of the Institute of Electrical and Electronics Engineers.

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Simulation of transonic low-Reynolds jets using quasi-gas dynamics equations

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Journal of Physics: Conference Series 2019年第1期1382卷

作者： M V Kraposhin A S Epikhin T G Elizarova K A Vatutin Ivannikov Institute for System Programming of the RAS Russia Moscow Solzhenitsyna str. 25 The Department of Aeromechanics and Flight Engineering Moscow Institute of Physics and Technology Russia Moscow Region Jukovskiy Gagarin str. 16 Keldysh Institute of Applied Mathematics of the RAS Russia Moscow Miusskaya Sqr. 4 Bauman Moscow State Technical University Russia Moscow 2nd Baumanskay str. 5 building 1 Faculty of Mechanics and Mathematics Lomonosov Moscow State University Russia Moscow GSP-1 Leninskiye gory 1

In this paper application of the OpenFOAM solver QGDFoam for numerical simulation of transonic viscous flows is considered. The developed solver, which implements regularized or quasi- gas dynamics (QGD) algorithms, is validated using the transonic low-Re jet flow case (Ma=0.9, Re=3600). The conducted numerical simulations allow the assessing applicability of the solver for modelling hydrodynamic instabilities and their interaction with transonic flow. Results of the numerical simulations are compared with experimental observations and Navier-Stokes-based code simulation. Results of the present study formulate a guideline for choosing (values of) QGD-algorithm tuning parameters.

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Quality of life during the pandemic: a cross sectional study about attitude, individual perspective and behavior change affecting general population in daily life

Quality of life during the pandemic: a cross sectional study...

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6th Smart Cities Symposium (SCS 2022)

作者： F. Khatoon M. Kumar A. A. Khalid A. D. Alshammari F. Khan R. D. Alshammari Z. Balouch D. Verma P. Mishra M. Abotaleb T. Makarovskikh E. M. El-kenawy P. K. Dutta J. A. Marques Biochemistry Department College of Medicine University of Hail Hail Saudi Arabia Department of Zoology Narain College Narain College Shikohabad India Queen Elizabeth the Queen Mother Hospital East Kent NHS Foundation Trust Margate Dept. of Public Health/Community Medicine in College of Medicine Princess Nourah Bint Abdul Rahman University Sulaiman Al-Rajhi University Department of Community Medicine Hail university United Medical College Jinnah University SS Jain Subodh Autonomous College Department of Zoology Jaipur (Raj) Jaipur India J.N.K.V.V. College of Agriculture Powarkheda India Department of System Programming South Ural State University Chelyabinsk Russia Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Mansoura Egypt School of Engineering and Technology Amity University Kolkata Kolkata India Laboratory of Applied Neurosciences - LAN/USJ University of Saint Joseph West Hartford China

Quality of life in general population before and during pandemic is topic need to be address by researcher in terms of mobility, self-care, usual activities, pain/discomfort and anxiety/depression. The study was carried out among Saudi population. Data were collected from general population using questionnaire during the period from 22 August 2021 to 10th January 2022. As a result, total 214 participants have included in this study. Among them prevalent age group include 40 years (n= 63, 29.4%) shadowed by the age group 25-35 (n= 61, 28.5%) while above 60 years group were least frequent (n= 1, 0.5%). On questioning the applicants whether they were satisfied with their health and how would they rate their quality of life, their answers were as follows: yes, or satisfied (n= 86, 40.2%), very Satisfied (n= 102, 47.7%) Dissatisfied (n= 11, 5.1%) and neither satisfied nor dissatisfied (n= 15, 7%). Due to pandemic, they were rate quality of life very good (n= 94, 43.9%), good (n= 63, 29.4 %) poor (n= 5, 2.3 %) and neither good and nor poor (n= 52, 24.3 %). During pandemic 96 participants feel no change in their weight but 110 participants respond that there is increase in coffee intake during the pandemic. Similarly increased in smoking habits and decrease rate in social activities (n=119,41.4%). The psychosomatic well-being of people has been interrupted by disturbing their social activities during pandemic.

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Correction to: A new cognitive clock matching phenotypic and epigenetic ages

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Translational psychiatry 2022年第1期12卷 452页

作者： M I Krivonosov E V Kondakova N A Bulanov S A Polevaya C Franceschi M V Ivanchenko M V Vedunova Institute of Biology and Biomedicine Department of Neurotechnology N. I. Lobachevsky State University Nizhny Novgorod Russia. krivonosov@itmm.unn.ru. Institute of Information Technology Mathematics and Mechanics Department of Applied Mathematics N. I. Lobachevsky State University Nizhny Novgorod Russia. krivonosov@itmm.unn.ru. Research Center for Trusted Artificial Intelligence The Ivannikov Institute for System Programming of the Russian Academy of Sciences Moscow 109004 Russia. krivonosov@itmm.unn.ru. Research Center for Trusted Artificial Intelligence The Ivannikov Institute for System Programming of the Russian Academy of Sciences Moscow 109004 Russia. Institute of Biology and Biomedicine Department of Basic and Medical Genetics N. I. Lobachevsky State University Nizhny Novgorod Russia. Faculty of Computer Science School of Data Analysis and Artificial Intelligence HSE University Moscow Russia. Faculty of Social Sciences Department of Psychophysiology N. I. Lobachevsky State University Nizhny Novgorod Russia. Institute of Information Technology Mathematics and Mechanics Department of Applied Mathematics N. I. Lobachevsky State University Nizhny Novgorod Russia. Department of Experimental Diagnostic and Specialty Medicine (DIMES) University of Bologna Bologna Italy.

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Scientific Data Lake for High Luminosity LHC project and other data-intensive particle and astro-particle physics experiments

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Journal of Physics: Conference Series 2020年第1期1690卷

作者： A Alekseev A Kiryanov A Klimentov T Korchuganova V Mitsyn D Oleynik A Smirnov S Smirnov A Zarochentsev Compiler Technology Department Ivannikov Institute for System Programming of the RAS Moscow 109004 Russia Cloud technologies and Big Data analytics laboratory Plekhanov Russian University of Economics Moscow 117997 Russia ATLAS group Universidad Andres Bello Santiago 7550196 Chile Department of computing resources and technologies NRC 'Kurchatov Institute' - PNPI 188300 Gatchina Russia Physics Department Brookhaven National Laboratory Upton NY 11973 USA Laboratory of Information Technologies Joint Institute for Nuclear Research Dubna 141980 Russia Institute of Nuclear Physics and Engineering National Research Nuclear University MEPhI Moscow 115409 Russia Laboratory of Ultra-High Energy Physics Saint Petersburg State University Saint Petersburg 198504 Russia

The next phase of LHC Operations – High Luminosity LHC (HL-LHC), which is aimed at ten-fold increase in the luminosity of proton-proton collisions at the energy of 14 TeV, is expected to start operation in 2027-2028 and will deliver an unprecedented scientific data volume of multi-exabyte scale. This amount of data has to be stored and the corresponding storage system should ensure fast and reliable data delivery for processing by scientific groups distributed all over the world. The present LHC computing and data processing model will not be able to provide the required infrastructure growth even taking into account the expected hardware technology evolution. To address this challenge the new state-of-the-art computing infrastructure technologies are now being developed and are presented here. The possibilities of application of the HL-LHC distributed data handling technique for other particle and astro-particle physics experiments dealing with large-scale data volumes like DUNE, LSST, Belle-II, JUNO, SKAO etc. are also discussed.

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UniMorph 4.0: Universal Morphology

arXiv

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arXiv 2022年

作者： Batsuren, Khuyagbaatar Goldman, Omer Khalifa, Salam Habash, Nizar Kieras, Witold Bella, Gábor Leonard, Brian Nicolai, Garrett Gorman, Kyle Ate, Yustinus Ghanggo Ryskina, Maria Mielke, Sabrina Budianskaya, Elena El-Khaissi, Charbel Pimentel, Tiago Gasser, Michael Lane, William Raj, Mohit Coler, Matt Samame, Jaime Rafael Montoya Camaiteri, Delio Siticonatzi Sagot, Benoît Rojas, Esaú Zumaeta Francis, Didier López Oncevay, Arturo Bautista, Juan López Villegas, Gema Celeste Silva Hennigen, Lucas Torroba Ek, Adam Guriel, David Dirix, Peter Bernardy, Jean-Philippe Scherbakov, Andrey Bayyr-Ool, Aziyana Anastasopoulos, Antonios Zariquiey, Roberto Sheifer, Karina Ganieva, Sofya Cruz, Hilaria Karahóǧa, Ritván Markantonatou, Stella Pavlidis, George Plugaryov, Matvey Klyachko, Elena Salehi, Ali Angulo, Candy Baxi, Jatayu Krizhanovsky, Andrew Krizhanovsky, Natalia Salesky, Elizabeth Vania, Clara Ivanova, Sardana White, Jennifer Maudslay, Rowan Hall Valvoda, Josef Zmigrod, Ran Czarnowska, Paula Nikkarinen, Irene Salchak, Aelita Bhatt, Brijesh Straughn, Christopher Liu, Zoey Washington, Jonathan North Pinter, Yuval Ataman, Duygu Wolinski, Marcin Suhardijanto, Totok Yablonskaya, Anna Stoehr, Niklas Dolatian, Hossep Nuriah, Zahroh Ratan, Shyam Tyers, Francis M. Ponti, Edoardo M. Aiton, Grant Arora, Aryaman Hatcher, Richard J. Kumar, Ritesh Young, Jeremiah Rodionova, Daria Yemelina, Anastasia Andrushko, Taras Marchenko, Igor Mashkovtseva, Polina Serova, Alexandra Prud'hommeaux, Emily Nepomniashchaya, Maria Giunchiglia, Fausto Chodroff, Eleanor Hulden, Mans Silfverberg, Miikka McCarthy, Arya D. Yarowsky, David Cotterell, Ryan Tsarfaty, Reut Vylomova, Ekaterina National University of Mongolia Mongolia Bar-Ilan University Israel Johns Hopkins University United States University of Trento Italy University of York United Kingdom Carnegie Mellon University United States Brian Leonard Consulting United States Indiana University United States University of British Columbia Canada Dharmsinh Desai University India New York University Abu Dhabi United Arab Emirates Inria France University of Cambridge United Kingdom University of Gothenburg Sweden University of Oregon United States Australian National University Australia ILSP Athena RC Greece University of Groningen Netherlands KU Leuven Belgium University of Louisville United States University of Edinburgh United Kingdom Pontificia Universidad Católica del Perú Peru Universidad Católica Sedes Sapientiae Filial Atalaya Institute of Philology The Siberian Branch The Russian Academy of Sciences Russia Moscow State University Russia Boston College United States Higher School of Economics Russia Institute of Linguistics Russian Academy of Sciences Russia STKIP Weetebula Indonesia Institute for System Programming Russian Academy of Sciences Russia University at Buffalo United States Karelian Research Centre The Russian Academy of Sciences Russia Swarthmore College United States New York University United States Northeastern Illinois University United States University of Helsinki Finland Tuvan State University Russia Georgetown University United States Charles Darwin University Australia Institute of Computer Science Polish Academy of Sciences Poland Universitas Indonesia Indonesia Stony Brook University United States Dr. Bhimrao Ambedkar University India Mila/McGill University Montreal Canada University of Colorado Boulder United States Graduate Center City University of New York United States George Mason University United States Ben-Gurion University of the Negev Israel ETH Zürich Switzerland University of Melbourne Australia

The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological inflection tables for hundreds of diverse world languages. The project comprises two major thrusts: a language-independent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema. This paper presents the expansions and improvements made on several fronts over the last couple of years (since McCarthy et al. (2020)). Collaborative efforts by numerous linguists have added 67 new languages, including 30 endangered languages. We have implemented several improvements to the extraction pipeline to tackle some issues, e.g. missing gender and macron information. We have also amended the schema to use a hierarchical structure that is needed for morphological phenomena like multiple-argument agreement and case stacking, while adding some missing morphological features to make the schema more inclusive. In light of the last UniMorph release, we also augmented the database with morpheme segmentation for 16 languages. Lastly, this new release makes a push towards inclusion of derivational morphology in UniMorph by enriching the data and annotation schema with instances representing derivational processes from MorphyNet. Copyright © 2022, The Authors. All rights reserved.

关键词： Morphology

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POVERTY, STATE CAPITAL, AND RECIDIVISM AMONG WOMEN OFFENDERS*

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Criminology & Public Policy 2006年第2期3卷

作者： KRISTY HOLTFRETER MICHAEL D. REISIG MERRY MORASH Kristy Holtfreter received her Ph.D. from the School of Criminal Justice Michigan State University in January 2004. Her research interests include legal responses to fraud in organizations correctional programming and research methodology. Her recent publications have appeared in Women and Criminal Justice and the Journal of Contemporary Criminal Justice. Michael D. Reisig is an Associate Professor of Criminal Justice at Michigan State University. His interests include neighborhood context and policing institutional corrections and applied statistical models. His research has appeared in such journals as Criminoalgy Justice Quarterly Journal of Research in Cromie and Delinquency and Crime and Delinquency. Merry Morash is a Professor of Criminal Justice at Michigan State University. Before obtaining her Ph.D. (University of Maryland in 1978) she worked in the adult prison system as a pre-release social worker directed programs for youthful offenders and worked in the juvenile court as a social worker. Her current research projects include programming to meet the needs of women offenders domestic violence among different racial and ethnic groups both within and outside the United States and assessment of community efforts to respond to crime victimization. She has conducted research with funding from the National Institute of Justice the National Science Foundation and with support from numerous other sources.

Research Summary: This research investigates the effects of poverty and state capital (i.e., state-sponsored support) on recidivism among women offenders. We seek also to determine whether criticisms directed at actuarial risk tools, such as the failure to take into account gender-related factors (e.g., poverty status), have merit. A community corrections sample of 134 female felony offenders from one county in the State of Oregon and in the cities of Minneapolis and St. Paul, Minnesota is used to examine self-reports of rearrest and probation or parole violations over a six-month time period. Results from the logistic regression analyses show poverty status increases the odds of rearrest by a factor of 4.6, and it increases the odds of supervision violation by a factor of 12.7. In contrast, risk scores failed to predict recidivism once poverty status was taken into account. Among poor women offenders specifically, we find providing state-sponsored support to address short-term needs (e.g., housing) reduces the odds of recidivism by 83%. Not only do community corrections officers who make available state capital promote women's empowerment, they are also less likely to have clients who reoffend. Policy Implications: Our findings suggest that a commonly used actuarial risk assessment tool (i.e., the LSI-R) does not sufficiently take into account the economic marginality of women offenders. At a minimum, existing tools should be refined or supplemented with other sources of information. During the early stages of supervision, community corrections agencies should encourage their officers to refer and advocate for poor women to receive available sources of state capital (e.g., subsidized housing) to address critical short-term needs, which can improve their economic circumstances, help move them out of poverty, and reduce the likelihood of recidivism. More broadly, recent changes in welfare policy, such as “Working Toward Independence,” will experience (at best) limite

关键词： State Capital, Poverty, Recidivism, Women Offenders, Corrections, LSI-R

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CONTROL system DESIGN CONSIDERING A TRADEOFF BETWEEN EVALUATED UNCERTAINTY RANGES AND CONTROL PERFORMANCE

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Asian Journal of Control 2008年第1期1卷

作者： Y. Wakasa Y. Yamamoto Dept. of Applied Analysis and Complex Dynamical Systems Graduate School of Informatics Kyoto University Kyoto Japan. Yuji Wakasa was born in Okayama Japan in 1968. He received the B.S. and M.S. degrees in engineering from Kyoto university Japan in 1992 and 1994 respectively. From 1994 to 1998 he was a Research Associate in the Department of Information Technology Okayama University. Since April 1998 he has been a Research Associate in the Graduate School of Informatics Kyoto University. His current research interests include robust control and control system design via mathematical programming. Yutaka Yamamoto received his B.S. and M.S. degrees in engineering from Kyoto University Kyoto Japan in 1972 and 1974 respectively and the M.S. and Ph.D. degree in mathematics from the University of Florida in 1976 and 1978 respectively. From 1978 to 1987 he was with Department of Applied Mathematics and Physics Kyoto University and from 1987 to 1997 with Department of Applied System Science. Since 1998 he is a professor at the current position. His current research interests include realization and robust control of distributed parameter systems learning control sampled-data systems and digital signal processing. Dr. Yamamoto is a receipient of the Sawaragi memorial paper award (1985) the Outstanding Paper Award of SICE (1987) Best Author Award of SICE (1990) the George Axelby Outstanding Paper Award of IEEE CSS in 1996 Takeda Paper Prize of SICE in 1997. He is a Fellow of IEEE. He was an associate editor of Automatica. He is currently an associate editor of IEEE Transactions on Automatic Control Systems and Control Letters and Mathematics of Control Signals and Systems. He is a member of the IEEE the Society of Instrument and Control Engineers (SICE) and the Institute of Systems Control and Information Engineers.

This paper presents a design method of control systems such that a designer can flexibly take account of tradeoffs between evaluated uncertainty ranges and the level of control performance. The problem is reduced to a BMI problem and approximately solved by LMIs. The convergence of the proposed approximation is proved in a modified sense. A numerical example shows the effectiveness of the proposed method in comparison with the standard robust control.

关键词： Control system design LMI BMI tradeoff curves

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