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10th IFAC Symposium on Advances in control Education, ACE 2013

作者： Vachhani, Leena Interdisciplinary Program in Systems and Control Engineering Indian Institute of Technology Bombay 400076 India

ISBN: (纸本)9783902823434

The performance of a control system depends on its design and implementation. Embedded controllers are the controllers designed on compact embedded systems. Embedded controllers are gaining popularity in industrial applications as the embedded system provides benefits on power consumption, size, cost etc. The education on designing architecture for embedded controllers for (Field programmable Gate Array) FPGA and Application Specific Integrated Circuits (ASIC) technologies helps in further customization. This paper presents the architecture designs for simple embedded controllers and gives a framework to design architectures for controllers. A novel approach to understand the designing architecture for embedded controller is proposed. This designing technique can be a part of a course on Embedded control systems. © IFAC.

关键词： Embedded systems

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Education on Architecture Development for Embedded controllers

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IFAC Proceedings Volumes 2013年第17期46卷 61-65页

作者： Leena Vachhani Interdisciplinary Program in Systems and Control Engineering Indian Institute of Technology Bombay India - 400076

关键词： Embedded controller Architecture FSMD

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Proceedings of the 8th Annual Conference on the Science of Dissemination and Implementation : Washington, DC, USA. 14-15 December 2015

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Implementation science : IS 2016年第2期11 Suppl 2卷 100页

作者： Chambers, David Simpson, Lisa Hill-Briggs, Felicia Neta, Gila Vinson, Cynthia Beidas, Rinad Marcus, Steven Aarons, Gregory Hoagwood, Kimberly Schoenwald, Sonja Evans, Arthur Hurford, Matthew Rubin, Ronnie Hadley, Trevor Barg, Frances Walsh, Lucia Adams, Danielle Mandell, David Martin, Lindsey Mignogna, Joseph Mott, Juliette Hundt, Natalie Kauth, Michael Kunik, Mark Naik, Aanand Cully, Jeffrey McGuire, Alan White, Dominique Bartholomew, Tom McGrew, John Luther, Lauren Rollins, Angie Salyers, Michelle Cooper, Brittany Funaiole, Angie Richards, Julie Lee, Amy Lapham, Gwen Caldeiro, Ryan Lozano, Paula Gildred, Tory Achtmeyer, Carol Ludman, Evette Addis, Megan Marx, Larry Bradley, Katharine VanDeinse, Tonya Wilson, Amy Blank Stacey, Burgin Powell, Byron Bunger, Alicia Cuddeback, Gary Barnett, Miya Stadnick, Nicole Brookman-Frazee, Lauren Lau, Anna Dorsey, Shannon Pullmann, Michael Mitchell, Shannon Schwartz, Robert Kirk, Arethusa Dusek, Kristi Oros, Marla Hosler, Colleen Gryczynski, Jan Barbosa, Carolina Dunlap, Laura Lounsbury, David O’Grady, Kevin Brown, Barry Damschroder, Laura Waltz, Thomas Ritchie, Mona Atkins, David Imel, Zac E. Xiao, Bo Can, Doğan Georgiou, Panayiotis Narayanan, Shrikanth Berkel, Cady Gallo, Carlos Sandler, Irwin Brown, C. Hendricks Wolchik, Sharlene Mauricio, Anne Marie Mehrotra, Sanjay Chandurkar, Dharmendra Bora, Siddhartha Das, Arup Tripathi, Anand Saggurti, Niranjan Raj, Anita Hughes, Eric Jacobs, Brian Kirkendall, Eric Loeb, Danielle Trinkley, Katy Yang, Michael Sprowell, Andrew Nease, Donald Lyon, Aaron Lewis, Cara Boyd, Meredith Melvin, Abigail Nicodimos, Semret Liu, Freda Jungbluth, Nathanial Flynn, Allen Landis-Lewis, Zach Sales, Anne Baloh, Jure Ward, Marcia Zhu, Xi Bennett, Ian Unutzer, Jurgen Mao, Johnny Proctor, Enola Vredevoogd, Mindy Chan, Ya-Fen Williams, Nathaniel Green, Phillip Bernstein, Steven Rosner, June-Marie DeWitt, Michelle Tetrault, Jeanette Dziura, James Hsiao, Allen Sussman, Scott O’Connor, Patrick Toll, Benjamin Jones, Michael Gassaway, Julie Tobin, Jonathan Zatzic Division of Cancer Control and Population Sciences National Cancer Institute National Institutes of Health Rockville USA AcademyHealth Washington USA Department of Medicine and Welch Center for Prevention Epidemiology and Clinical Research Johns Hopkins Medical Institutions Baltimore USA Psychiatry University of Pennsylvania Philadelphia USA Family Medicine and Community Health University of Pennsylvania Philadelphia USA School of Social Policy and Practice University of Pennsylvania Philadelphia USA Psychiatry UC San Diego La Jolla USA Child & Adolescent Psychiatry The Child Study Center at NYU Langone Medical Center New York NY New York USA Psychiatry and Behavioral Sciences MUSC Charleston USA DBHIDS City of Philadelphia Philadelphia USA CBH City of Philadelphia Philadelphia USA Psychiatry University of Pennsylvania Perelman School of Medicine Philadelphia USA Health Services Research & Development Department of Veterans Affairs & Baylor College of Medicine Houston USA Treatment Core Department of Veterans Affairs Waco USA National Center for PTSD Executive Division Department of Veterans Affairs White River Junction USA HSR&D HSR&D Center for Health Information and Communication Roudebush VA Medical Center Indianapolis USA Psychology Indiana University Purdue University Indianapolis Indianapolis USA Department of Psychiatric Rehabilitation and Counseling Rutgers University Newark USA Health Services Research & Development Richard L. Roudebush VAMC Indianapolis USA IUPUI Department of Psychology ACT Center of Indiana Indianapolis USA Human Development Washington State University Pullman USA Prevention Science Washington State University Pullman USA Group Health Research Institute Group Health Seattle USA Behavioral Health Services Group Health Seattle USA Preventive Care Group Health Seattle USA Health Services Research & Development Primary and Specialty Medical Care Service VA Puget Sound Seattle USA School of Social Work Un

A1 Introduction to the 8th Annual Conference on the Science of Dissemination and Implementation: Optimizing Personal and Population Health David Chambers, Lisa Simpson D1 Discussion forum: Population health D&I research Felicia Hill-Briggs D2 Discussion forum: Global health D&I research Gila Neta, Cynthia Vinson D3 Discussion forum: Precision medicine and D&I research David Chambers S1 Predictors of community therapists’ use of therapy techniques in a large public mental health system Rinad Beidas, Steven Marcus, Gregory Aarons, Kimberly Hoagwood, Sonja Schoenwald, Arthur Evans, Matthew Hurford, Ronnie Rubin, Trevor Hadley, Frances Barg, Lucia Walsh, Danielle Adams, David Mandell S2 Implementing brief cognitive behavioral therapy (CBT) in primary care: Clinicians' experiences from the field Lindsey Martin, Joseph Mignogna, Juliette Mott, Natalie Hundt, Michael Kauth, Mark Kunik, Aanand Naik, Jeffrey Cully S3 Clinician competence: Natural variation, factors affecting, and effect on patient outcomes Alan McGuire, Dominique White, Tom Bartholomew, John McGrew, Lauren Luther, Angie Rollins, Michelle Salyers S4 Exploring the multifaceted nature of sustainability in community-based prevention: A mixed-method approach Brittany Cooper, Angie Funaiole S5 Theory informed behavioral health integration in primary care: Mixed methods evaluation of the implementation of routine depression and alcohol screening and assessment Julie Richards, Amy Lee, Gwen Lapham, Ryan Caldeiro, Paula Lozano, Tory Gildred, Carol Achtmeyer, Evette Ludman, Megan Addis, Larry Marx, Katharine Bradley S6 Enhancing the evidence for specialty mental health probation through a hybrid efficacy and implementation study Tonya VanDeinse, Amy Blank Wilson, Burgin Stacey, Byron Powell, Alicia Bunger, Gary Cuddeback S7 Personalizing evidence-based child mental health care within a fiscally mandated policy reform Miya Barnett, Nicole Stadnick, Lauren Brookman-Frazee, Anna Lau S8 Leveraging an existing

关键词： Veteran Affair Motivational Interview Qualitative Comparative Analysis Community That Care Supplemental Nutrition Assistance program

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Discrete-time sliding mode control using an H∞ filter for a quadruple tank system

Discrete-time sliding mode control using an H∞ filter for a...

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2012 12th International Workshop on Variable Structure systems, VSS 2012

作者： Chandra, Kumar Pakki Bharani Srikanthan, Hemnath Gu, Da-Wei Bandyopadhyay, Bijnan Postlethwaite, Ian Control and Instrumentation Group University of Leicester LE1 7RH United Kingdom Department of Engineering University of Leicester LE1 7RH United Kingdom Interdisciplinary Program in Systems and Control Engineering Indian Institute of Technology Bombay Mumbai 400076 India Northumbria University NE1 8ST United Kingdom

The quadruple tank system is a challenging multi-variable model consisting of four interconnected tanks, two level sensors and two input pumps. This paper deals with the control and estimation of such a system. All the four levels of the system are controlled by H∞ filter based discrete sliding mode control (SMC). A nonlinear stable sliding surface is constructed using full state information, to enhance the overall performance of the closed loop plant. In this multi-input multi-output quadruple tank system, only the first two states are available for feedback and hence it is not suitable to use any full state feedback control methods directly. To circumvent this problem, the remaining two states, which are required for the SMC design are estimated using a robust H∞ filter. The efficacy of the proposed method is demonstrated by simulations. © 2012 IEEE.

关键词： State feedback

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Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

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Scientific data 2017年第1期4卷 170179页

作者： Jason Flannick Christian Fuchsberger Anubha Mahajan Tanya M Teslovich Vineeta Agarwala Kyle J Gaulton Lizz Caulkins Ryan Koesterer Clement Ma Loukas Moutsianas Davis J McCarthy Manuel A Rivas John R B Perry Xueling Sim Thomas W Blackwell Neil R Robertson N William Rayner Pablo Cingolani Adam E Locke Juan Fernandez Tajes Heather M Highland Josee Dupuis Peter S Chines Cecilia M Lindgren Christopher Hartl Anne U Jackson Han Chen Jeroen R Huyghe Martijn van de Bunt Richard D Pearson Ashish Kumar Martina Müller-Nurasyid Niels Grarup Heather M Stringham Eric R Gamazon Jaehoon Lee Yuhui Chen Robert A Scott Jennifer E Below Peng Chen Jinyan Huang Min Jin Go Michael L Stitzel Dorota Pasko Stephen C J Parker Tibor V Varga Todd Green Nicola L Beer Aaron G Day-Williams Teresa Ferreira Tasha Fingerlin Momoko Horikoshi Cheng Hu Iksoo Huh Mohammad Kamran Ikram Bong-Jo Kim Yongkang Kim Young Jin Kim Min-Seok Kwon Juyoung Lee Selyeong Lee Keng-Han Lin Taylor J Maxwell Yoshihiko Nagai Xu Wang Ryan P Welch Joon Yoon Weihua Zhang Nir Barzilai Benjamin F Voight Bok-Ghee Han Christopher P Jenkinson Teemu Kuulasmaa Johanna Kuusisto Alisa Manning Maggie C Y Ng Nicholette D Palmer Beverley Balkau Alena Stančáková Hanna E Abboud Heiner Boeing Vilmantas Giedraitis Dorairaj Prabhakaran Omri Gottesman James Scott Jason Carey Phoenix Kwan George Grant Joshua D Smith Benjamin M Neale Shaun Purcell Adam S Butterworth Joanna M M Howson Heung Man Lee Yingchang Lu Soo-Heon Kwak Wei Zhao John Danesh Vincent K L Lam Kyong Soo Park Danish Saleheen Wing Yee So Claudia H T Tam Uzma Afzal David Aguilar Rector Arya Tin Aung Edmund Chan Carmen Navarro Ching-Yu Cheng Domenico Palli Adolfo Correa Joanne E Curran Dennis Rybin Vidya S Farook Sharon P Fowler Barry I Freedman Michael Griswold Daniel Esten Hale Pamela J Hicks Chiea-Chuen Khor Satish Kumar Benjamin Lehne Dorothée Thuillier Wei Yen Lim Jianjun Liu Marie Loh Solomon K Musani Sobha Puppala William R Scott Loïc Yengo Sian-Tsung Tan Herman A Taylor Farook Thameem Gregory Wilson Tien Yin Wong Pål Rasmu Department of Molecular Biology Massachusetts General Hospital Boston Massachusetts USA. Program in Medical and Population Genetics Broad Institute Cambridge Massachusetts USA. Department of Biostatistics and Center for Statistical Genetics University of Michigan Ann Arbor Michigan USA. Wellcome Trust Centre for Human Genetics Nuffield Department of Medicine University of Oxford Oxford UK. Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology Cambridge Massachusetts USA. Department of Statistics University of Oxford Oxford UK. Genetics of Complex Traits University of Exeter Medical School University of Exeter Exeter UK. MRC Epidemiology Unit Institute of Metabolic Science University of Cambridge Cambridge UK. Department of Twin Research and Genetic Epidemiology King's College London London UK. Oxford Centre for Diabetes Endocrinology and Metabolism Radcliffe Department of Medicine University of Oxford Oxford UK. Department of Human Genetics Wellcome Trust Sanger Institute Hinxton Cambridgeshire UK. School of Computer Science McGill University Montreal Quebec Canada. McGill University and Génome Québec Innovation Centre Montreal Quebec Canada. Human Genetics Center The University of Texas Graduate School of Biomedical Sciences at Houston The University of Texas Health Science Center at Houston Houston Texas USA. Department of Biostatistics Boston University School of Public Health Boston Massachusetts USA. National Heart Lung and Blood Institute's Framingham Heart Study Framingham Massachusetts USA. Medical Genomics and Metabolic Genetics Branch National Human Genome Research Institute National Institutes of Health Bethesda Maryland USA. Department of Biostatistics Harvard School of Public Health Boston Massachusetts USA. Chronic Disease Epidemiology Swiss Tropical and Public Health Institute University of Basel Basel Switzerland. Institute of Genetic Epidemiology Helmholtz Zentrum München German R

To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1-5%) non-coding variants in the whole-genome sequenced individuals and 99.7% of low-frequency coding variants in the whole-exome sequenced individuals. Each variant was tested for association with T2D in the sequenced individuals, and, to increase power, most were tested in larger numbers of individuals (>80% of low-frequency coding variants in ~82 K Europeans via the exome chip, and ~90% of low-frequency non-coding variants in ~44 K Europeans via genotype imputation). The variants, genotypes, and association statistics from these analyses provide the largest reference to date of human genetic information relevant to T2D, for use in activities such as T2D-focused genotype imputation, functional characterization of variants or genes, and other novel analyses to detect associations between sequence variation and T2D.

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Abstracts for the 6th Congress of Asian Sleep Research Society

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Sleep and Biological Rhythms 2009年第4期7卷 A1-A49页

作者： Seog Ju Kim In Kyoon Lyoo Yu-Jin Lee Do-Un Jeong Hirohiko Kanai Masanori Ookubo Atsushi Yoshimura Masako Okawa Noto Yamada Takeshi Munezawa Yoshitaka Kaneita Yoneatsu Osaki Hideyuki Kanda Tadahiro Ohtsu Masumi Minowa Kenji Suzuki Susumu Hijuchi Hiroyuki Suzuki Takashi Ohida Takashi Abe Yoko Komada Shoichi Asaoka Yuichi Inoue Jin-Seong Lee Sang-Yong Cho Deependra Kumar Hruda N. Mallick Velayudhan M. Kumar Mahesh K. Kaushik Akihiro Karashima Noiihiro Katayama Mitsuyuki Nakao Ravindra P. Nagendra Sathiamma Sulekha Sathyaprabha T. Narasappa Pradhan Nityanadan Bindu M. Kutty M. Nirmala P. N. Ravindra Basavaraj Ramappa Tubaki T. N. Sathyaprabha D. Sudhakar G. S. Lavekar C. R. Chandrashekar Kazuyoshi Kitaoka Mika Shimizu Sachiko Chikahisa Kazuo Yoshizaki Hiroyoshi Sei Jong-Won Kim Misa Takegami Shin Yamazaki Yasuaki Hayashino Rei Ono Koji Otani Miho Sekiguchi Shinichi Konno Shunichi Fukuhara Antonia J. Jakobson Paul Fitzgerald Russell Conduit Xin Shirley Li Siu Ping Joyce Lam Wai Man Mandy Yu Yun Kwok Wing Kazue Okamoto-Mizuno Koh Mizuno Mituaki Yamamoto Shuichiro Shirakawa Hirokazu Doi Mikako Kato Kazuyuki Shinohara Masako Tamaki Shiori Matsuda Katsuo Yamazaki Tadao Hori Keiko Ogawa Kazumi Takahashi Kunio Kitahama Katuo Yamazaki Yoshimasa Koyama Kohei Shioda Yugo Ueda Yukiko Nakamura Clara Inoue Kazushige Goto Sunao Uchida Yuko Morita Yoshiko Honda Tohru Kodama Mari Hagihara Toru Nakajima Masato Saito Yoshihiko Koga Shinichiro Tanaka Hiroshi Yamadera Madoka Takahara Sachiko Suwa Minoru Onozuka Sadao Sato Fumiharu Togo Taiki Komatsu Takeshi Mitani Jongbae Choi Bin Zhang Taeko Sasai Hiromi Mitsubayashi Mitsuhiro Ohtsu Isao Hasegawa Tatsuya Ishii Akira Komori Asami Suzuki Yue Nakahara Mitsuyasu Hiroki Mariko Nakauma Nobuo Someya Tomomasa Ochiai Shouhei Komori Rayleigh Ping-Ying Chiang Zai-Ting Yeh Seong T. Kim Seung H. Yoon Jeong S. Kwon Jong H. Choi Hyung J. Ahn Youngsoo Kim Bolortuya Yunren Lichao Chen Radhika Basheer Robert W. Mccarley Robert E. Strecker Makoto Honda Tetsuaki Arai Miyuki Fukazawa Yutaka Honda Kuniaki T Department of Psychiatry Gachon University of Medicine and Science Incheon Republic of Korea Department of Psychiatry Seoul National University Seoul Republic of Korea Department of Neuropsychiatry and Center for Sleep and Chronobiology Seoul National University Hospital Seoul Republic of Korea Department of Neuropsychiatry Seoul National University Hospital Seoul Republic of Korea Seoul National University Hospital Seoul Republic of Korea Department of Psychiatry Shiga University of Medical Science Otsu Japan Division of Public Health Department of Social Medicine Nihon University School of Medicine Tokyo Japan Department of Public Health Nihon University School of Medicine Tokyo Japan Division of Environmental and Preventive Medicine Department of Social Medicine Faculty of Medicine Tottori University Yonago Japan Department of Hygiene and Preventive Medicine Fukushima Medical University Fukushima Japan Department of Public Health Showa University School of Medicine Tokyo Japan Faculty of Humanities Seitoku University Matsudo Japan Section on Behavioral Science Division of Clinical Research National Hospital Organization Kurihama Alcoholism Center Yokosuka Japan Department of Otolaryngology Second Hospital Fujita Health University Nagoya Japan National Hospital Organization Kurihama Alcoholism Center Kanagawa Japan Metropolitan Police Department Criminal Investigation Laboratory Tokyo Japan Japan Somnology Center Neuropsychiatrie Research Institute Tokyo Japan Department of Somnology Tokyo Medical University Tokyo Japan Japan Somnology Center Neuropsychiatric Research Institute Tokyo Japan Department of Somnology Tokyo Medical and Dental University Tokyo Japan Center for Sleep and Chronobiology Department of Psychiatry and Behavioral Science Seoul National University College of Medicine Seoul Republic of Korea Department of Psychiatry and Behavioral Science Center for Sleep and Chronobiology Seoul Republic of Korea Department of Physiology Al

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control relevant identification with steady state gain matching 6

Control relevant identification with steady state gain match...

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6th European control Conference, ECC 2001

作者： Shreesha, C. Gudi, Ravindra D. Interdisciplinary Program in Systems and Control Engineering Indian Institute of Technology Bombay Powai Mumbai400076 India Department of Chemical Engineering Indian Institute of Technology Bombay Powai Mumbai400076 India

ISBN: (纸本)9783952417362

The prefilter based control relevant identification scheme proposed by Rivera et al.[14], for single input single output(SISO) system gives a model of the system which matches the true system in a range of frequencies that are important for closed loop performance. However, it may also be desirable to have small mismatch at the steady state condition as well. This is specifically true when the desired closed loop speed of response is much higher than the open loop speed of response. Here a method is proposed to estimate a control relevant model that, in addition to having a small mismatch in the control relevant frequencies, also has a good steady state gain match, with that of the true system. With such a control relevant model having steady state gain match, the closed loop internal model control (IMC) based system is shown to give satisfactory response even with higher desired speed of response. Also, a control relevant identification scheme for multi input single output(MISO) system, having steady state gain match is proposed, using uncorrelated inputs. Application of these identified models to a feed forward control scheme has been considered to demonstrate superior performance with these models. Similarly, with combined feed forward/feedback control, the model having steady state gain match gives an improved performance even with higher desired speed of closed loop response. © 2001 EUCA.

关键词： Linear systems

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control relevant identification with steady state gain matching

Control relevant identification with steady state gain match...

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European control Conference (ECC)

作者： C. Shreesha Ravindra D. Gudi Interdisciplinary Program in Systems and Control Engineering Indian Institute of Technology Bombay Mumbai Maharashtra IN

关键词： Steady-state Feeds Mathematical model Solid modeling Transfer functions Feedback control Frequency control

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MISO structure based control-relevant identification of MIMO systems

MISO structure based control-relevant identification of MIMO...

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American control Conference (ACC)

作者： C. Shreesha R.D. Gudi N.M.A.M. Institute of Technology Udupi Karnataka India Interdisciplinary Program in Systems and Control Engineering Indian Institute of Technology Mumbai India Department of Chemical Engineering Indian Institute of Technology Mumbai India

The prefilter based open loop control-relevant identification scheme proposed for single input single output (SISO) systems by D.E. Rivera et al. (1992) is extended for multi input multi output (MIMO) systems using a multi input single output (MISO) structural framework. By selecting input output pair for control, the MIMO system is partitioned into individual SISO systems with the interacting branches acting on each SISO loop being treated as structured measured disturbances (in addition to the regular disturbance at each output). With this consideration, a methodology is proposed for design of separate prefilters for the individual channels, taking into account the performance specifications for each loop. The use of an uncorrelated set of inputs is proposed for obtaining accurate estimation of individual channel elements. The prefiltering for each individual loop has been shown to give good estimates of the control-relevant model for the direct as well as the interacting branches. Closed loop simulations, using decoupled internal model controllers, involving representative processes taken from the literature demonstrate the validity of the approach.

关键词： control systems MIMO Open loop systems Frequency response control design control engineering Chemical engineering Chemical technology Process control control system synthesis

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Finite Wordlength control of Sampled Data systems by Covariance Assignment

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IFAC Proceedings Volumes 1993年第2期26卷 193-196页

作者： D. Williamson R.E. Skelton K. Grigoriadis Interdisciplinary Engineering Program Australian National University Canberra Australia Space Systems Control Laboratory Purdue University West Lafayette Indiana USA

This paper considers a covariance control approach to the finite wordlength (FWL) controller design of sampled data systems. Skewed sampling is taken into account. An intersampling parameter is introduced and the closed loop covariance equations are computed at a specified instant inside the sampling interval. The covariance assignability conditions are derived and a parametrization of all covariance controllers is provided. The plant state covariance is assigned by optimizing the FWL structure of the controller.

关键词： Sampled data systems finite wordlength state-space methods

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