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Proceedings from the 9th annual conference on the science of dissemination and implementation: Washington, DC, USA. 14-15 December 2016

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Implement Sci 2017年第SUPPL 1期12卷 48-48页

作者： David Chambers Lisa Simpson Gila Neta Ulrica von Thiele Schwarz Antoinette Percy-Laurry Gregory A. Aarons Ross Brownson Amanda Vogel Shannon Wiltsey Stirman Kenneth Sherr Rachel Sturke Wynne E. Norton Allyson Varley Cynthia Vinson Lisa Klesges Suzanne Heurtin-Roberts M. Rashad Massoud Leighann Kimble Arne Beck Claire Neely Jennifer Boggs Carmel Nichols Wen Wan Erin Staab Neda Laiteerapong Nathalie Moise Ravi Shah Susan Essock Margaret Handley Amy Jones Jay Carruthers Karina Davidson Lauren Peccoralo Lloyd Sederer Todd Molfenter Ashley Scudder Sarah Taber-Thomas Kristen Schaffner Amy Herschell Eva Woodward Jeffery Pitcock Mona Ritchie JoAnn Kirchner Julia E. Moore Sobia Khan Shusmita Rashid Jamie Park Melissa Courvoisier Sharon Straus Daniel Blonigen Allison Rodriguez Luisa Manfredi Andrea Nevedal Joel Rosenthal David Smelson Christine Timko Nicole Stadnick Jennifer Regan Miya Barnett Anna Lau Lauren Brookman-Frazee Erick Guerrero Karissa Fenwick Yinfei Kong Gregory Aarons Rebecca Lengnick-Hall Benjamin Henwood Nina Sayer Craig Rosen Robert Orazem Brandy Smith Lindsey Zimmerman David Lounsbury Rachel Kimerling Jodie A. Trafton Steven Lindley Rahul Bhargava Hal Roberts Laura Gibson Gabriel J. Escobar Vincent Liu Benjamin Turk Arona Ragins Patricia Kipnis Ashley Ketterer Gruszkowski Michael W. Kennedy Emily Rentschler Drobek Lior Turgeman Aleksandra Sasha Milicevic Terrence L. Hubert Larissa Myaskovsky Youxu C. Tjader Robert J. Monte Kathryn G. Sapnas Edmond Ramly Diane R Lauver Christie M Bartels Shereef Elnahal Andrea Ippolito Hillary Peabody Carolyn Clancy Randall Cebul Thomas Love Douglas Einstadter Shari Bolen Brook Watts Vera Yakovchenko Angela Park William Lukesh Donald R. Miller David Thornton Mari-Lynn Drainoni Allen L. Gifford Shawna Smith Julia Kyle Mark S Bauer Daniel Eisenberg Celeste Liebrecht Michelle Barbaresso Amy Kilbourne Elyse Park Giselle Perez Jamie Ostroff Sarah Greene Michael Parchman Brian Austin Eric Larson Stefanie Ferreri Chris Shea Megan Smith Kea Turner Jennifer Bacci Kyle Bigham Geoffr Division of Cancer Control and Population Sciences National Cancer Institute Rockville MD 20850 USA AcademyHealth Washington DC 20009 USA Department of Learning Informatics Management and Ethics Karolinska Institutet Stockholm 17177 Sweden Department of Psychiatry University of California San Diego San Diego CA 92093 USA George Warren Brown School of Social Work Washington University in St. Louis St. Louis MO 63130 USA Center for Global Health National Cancer Institute Rockville MD 20850 USA Dissemination and Training Division VA National Center for PTSD Palo Alto CA 94305 USA Department of Global Health University of Washington Seattle WA 98105 USA Center for Global Health Studies Fogarty International Center National Institutes of Health Bethesda MD 20912 USA School of Public Health University of Alabama at Birmingham Birmingham AL 35243 USA School of Public Health University of Memphis Memphis TN 38152 USA USAID Applying Science to Strengthen and Improve Systems (ASSIST) Project Bethesda Maryland 20814 USA Institute for Health Research Kaiser Permanente Denver CO 80231 USA ICSI Institute for Clinical Systems Improvement Bloomington MN 55425 USA Medicine University of Chicago Chicago IL 60637 USA Medicine Columbia University Medical Center New York NY 10032 USA Psychiatry Columbia University New York NY 10032 USA General Internal Medicine Epidemiology and Biostatistics University of California San Francisco San Francisco CA 94110 USA New York State Office of Mental Health New York NY 10001 USA Medicine Icahn School of Medicine at Mount Sinai New York NY 10029 USA Center for Health Enhancement System Studies University of Wisconsin Madison WI 53706 USA Department of Psychiatry University of Pittsburgh Pittsburgh PA 15213 USA Psychology University at Buffalo Buffalo NY 14260 USA Department of Psychology West Virginia University Morgantown WV 26506 USA MIRECC VA North Little Rock AR 72114 USA QUERI for Team-Based Behavioral Health Centr

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Indirect position estimation method for switched reluctance motor using searching windings

Indirect position estimation method for switched reluctance ...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Cheng Wang Zhiquan Deng Jun Cai Rongguang Hu College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China School of Information and Control Nanjing University of Information Science and Technology Nanjing China Dept. Automatic Control and System Engineering University of Sheffield UK

This paper presents a new method to estimate rotor position indirectly for 12/8 switched reluctance motor (SRM). In this method, searching windings and main windings are wound on stator together. The structure of searching windings is designed to reduce induced voltages caused by main windings. High frequency voltage is applied to searching windings and the position signal is derived from induced high frequency signals. High frequency voltage can be injected from standstill to high speed in this method, thus it can operate in a wide speed range. The proposed method is implemented on a 12/8 SRM and the experimental results demonstrate the validity of this method.

关键词： Windings Reluctance motors Rotors Inductance Estimation Coils

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Robust walking of biped robot on uneven terrain using effect of wobbling mass

Robust walking of biped robot on uneven terrain using effect...

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IEEE International Conference on Robotics and Biomimetics

作者： Terumitsu Hayashi Masaki Yamakita Yuta Hanazawa Fumihiko Asano Dept. of Mechanical and Control Engineering Tokyo Institute of Technology Meguro-ku Tokyo JAPAN Faculty of Engineering Department of Applied Science for Integrated System Engineering Kyushu Institute of Technology Kita-Kyushu Fukuoka Japan School of Information Science Japan Advanced Institute of Science and Technology Nomi Ishikawa JAPAN

ISBN: (纸本)9781479973989

Many studies about improving the performance of biped robots, especially energy efficiency and waking speed have been done. These properties, however, are secondary to the robot ability to prevent falling down on irregular grounds. In this paper, we propose a novel method which uses an active up-and-down wobbling mass to improve walking ability and robustness of biped robot on uneven terrain. We will show improvements that the number of walk steps is increased in numerical simulations using the proposed method. We also evaluate quantitatively walking ability of biped robot on uneven terrain using a performance measure called Gait Sensitivity Norm (GSN) and H ∞ norm. Furthermore, we show the effectiveness of H ∞ norm measure which cannot be evaluated by GSN in a walking example.

关键词： Legged locomotion Limit-cycles Trajectory Robustness Mathematical model Sensitivity

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Hybrid-data-driven fuzzy recognition of operator cognitive state in human-machine cooperative control system

Hybrid-data-driven fuzzy recognition of operator cognitive s...

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13th IFAC Symposium on Large Scale complex systems: Theory and Applications, LSS 2013

作者： Zhang, Jian-Hua Raisch, Jörg Dept. of Automation East China University of Science and Technology Shanghai 200237 China Control Systems Group Technische Universität Berlin D-10587 Berlin Germany Systems and Control Theory Group Max Planck Institute for Dynamics of Complex Technical Systems D-39106 Magdeburg Germany

In this paper, the Human Cognitive State (HCS) in the context of human and complex system interaction was classified by using the Fuzzy C-Means (FCM) algorithm. The most important features for the HCS pattern classification were extracted from a set of measured physiological variables based on the comparison of their respective rates of correct classification. The results have shown the usefulness of the FCM algorithm as well as the selected features for the challenging HCS classification problem. © IFAC.

关键词： Fuzzy set theory

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A real-time center of gravity trajectory generation of a biped humanoid under variable reference ZMP trajectory

A real-time center of gravity trajectory generation of a bip...

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2nd International Conference on Engineering and technology Innovation 2012, ICETI 2012

作者： Park, Ill-Woo Cho, Baek-Kyu Kim, Jung-Yup Dept. of Information and Control Eng. Kwangwoon University 447-1 Wolgye-dong Seoul Korea Republic of School of Mechanical System Eng. Kookmin University 861-1 JeongNeung-dong Seoul Korea Republic of Dept. of Mechanical System Design Eng. Seoul National University of Science and Technology 138 Gongrung-gil Seoul Korea Republic of

ISBN: (纸本)9783037856123

This paper describes a method for generating a center of gravity trajectory of a biped humanoid robot under variable reference ZMP trajectory. A simple inverted pendulum model (SIPM) is used to calculate a center of gravity (CoG) trajectory from a reference zero moment point (ZMP) trajectory with an analytic form, which is based on the Fourier series. Fundamentally, we used a time segmentation based approach. For each segment, we defined its duration and boundary conditions, which are the key parameters of ZMP trajectory design. After designing the ZMP trajectory in each segment, we can automatically calculate the CoG trajectory by matching the boundary conditions and by calculating the coefficients between the time segments. The reference ZMP trajectory can be changed by updating the boundary conditions during walking. We successfully verified the proposed method through full-body dynamic simulations with variable step length. © (2013) Trans Tech Publications, Switzerland.

关键词： Trajectories

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Hierarchical fuzzy approaches for a piloted Quality Management system

Hierarchical fuzzy approaches for a piloted Quality Manageme...

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： H. Ben Mahmoud R. Ketata T. Ben Romdhane S. Ben Ahmed Dept. of Physics and Instrumentation Engineering INSAT: National Institute of Applied Science and Technology Dept. of Physics and Instrumentation Engineering ICOS: Research Unit on Intelligent Control Tunis Tunisia Dept. of Physics and Instrumentation Engineering MOSIC Research Unit on Methods and Tools for Complex Computer Systems Tunis Tunisia

In this paper, two approaches, Hierarchical Fuzzy Signature (HFS) and Neuro-Fuzzy Hierarchical Hybrid (NFHH), have been proposed for piloting a Quality Management system (QMS). These approaches have been applied for real company which presents a major problem for controlling the quality level of production. HFS structure has reduced complexity in the number of input and output meta-levels of hierarchy. Also NFHH model has presented better performance in terms of precision and number of parameters without losing the universal approximation property of neural networks (NN) and fuzzy systems.

关键词： Companies IP networks Production complexity theory Fuzzy logic Artificial neural networks Pragmatics

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Hybrid-Data-Driven Fuzzy Recognition of Operator Cognitive State in Human-Machine Cooperative control system

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IFAC Proceedings Volumes 2013年第13期46卷 327-334页

作者： Jian-Hua Zhang Jörg Raisch Dept. of Automation East China University of Science and Technology Shanghai 200237 P.R. China (Tel: ++86-21-64253808) Control Systems Group Technische Universität Berlin D-10587 Berlin Systems and Control Theory Group Max Planck Institute for Dynamics of Complex Technical Systems D-39106 Magdeburg Germany Systems and Control Theory Group Max Planck Institute for Dynamics of Complex Technical Systems D-39106 Magdeburg Germany

关键词： Man-machine systems Cognitive science Physiology Fuzzy set theory Pattern recognition Classification

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MCMC-based indoor localization with a smart phone and sparse WiFi access points

MCMC-based indoor localization with a smart phone and sparse...

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2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012

作者： Liu, Yan Wang, Qiang Liu, Junbin Wark, Tim Dept. of Control Science and Engineering Harbin Institute of Technology Harbin China Autonomous System Lab. CSIRO ICT Centre Brisbane QLD Australia Faculty of Built Environment and Engineering Queensland University of Technology Brisbane QLD Australia

ISBN: (纸本)9781467309073

We present a novel indoor localization approach using a pocket-placed smart phone and sparsely deployed WiFi access points (APs). Position information of a person carrying a smart phone can typically be obtained by two means: dead-reckoning(DR) based on local inertial sensors measurements and WiFi fingerprinting (FP). While a number of methods have been developed to fuse these two types of position information, due to extended training requirements in FP, their approaches suffer from limited practicality in most applications. To overcome some of the limitations of previous approaches, we propose to apply Markov Chain Monte Carlo (MCMC) sampling to fuse the local inertial measurements and the received signal strengths from nearby WiFi APs. MCMC technique can provide high accurate probability distribution inference. The performance of our proposed method is benchmarked using previous state-of-the-art through simulations as well as a real experiment in a typical office environment. © 2012 IEEE.

关键词： Indoor positioning systems

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Optimal solutions to robust stabilization problem for a class of systems with parametric uncertainty

Optimal solutions to robust stabilization problem for a clas...

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7th IFAC Symposium on Robust control Design, ROCOND'12

作者： Wu, Qinghe Xu, Li Mansour, Mohamed School of Automation Beijing Institute of Technology Beijing 100081 China Faculty of System Science and Technology Dept. of Electronics and Information Systems Akita Prefectural University Akita 015-0055 Japan Automatic Control Laboratory Swiss Federal Institute of Technology Zurich ETH Zentrum CH-8092 Zürich Switzerland

ISBN: (纸本)9783902823038

This paper tackles the robust stabilization problem for the plant family described by the transfer function set P(s, δ, δ) whose coefficients of the denominator and the numerator polynomials are affine in a real uncertain parameter vector δ satisfying the norm constraint δp ≤ δ for p ≥ 1. It is shown that there exists a fixed controller robustly stabilizing all the members of P(s, δ, δ) if and only if its every member plant is free of unstable pole-zero cancelation. The optimal robust stabilizer is characterized in terms of a three dimensional frequency dependent Hahn-Banach minimizer. Classes of P(s, δ, δ) are characterized using Nevanlinna-Pick interpolation theory. For these classes optimal robust stabilizers can be obtained in closed forms using H ∞-optimization technique. © 2012 IFAC.

关键词： Stabilization

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Optimal Solutions to Robust Stabilization Problem for a Class of systems with Parametric Uncertainty

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IFAC Proceedings Volumes 2012年第13期45卷 156-161页

作者： Qinghe Wu Li Xu Mohamed Mansour School of Automation Beijing Institute of Technology Beijing 100081 China Faculty of System Science and Technology Dept. of Electronics and Information Systems Akita Prefectural University Akita 015-0055 Japan Automatic Control Laboratory Swiss Federal Institute of Technology Zurich ETH Zentrum CH-8092 Zürich Switzerland

This paper tackles the robust stabilization problem for the plant family described by the transfer function set P ( s, δ , δ ) whose coefficients of the denominator and the numerator polynomials are affine in a real uncertain parameter vector δ satisfying the norm constraint || δ || p ≤ δ for p ≥ 1. It is shown that there exists a fixed controller robustly stabilizing all the members of P ( s, δ , δ ) if and only if its every member plant is free of unstable pole-zero cancelation. The optimal robust stabilizer is characterized in terms of a three dimensional frequency dependent Hahn-Banach minimizer. Classes of P ( s, δ , δ ) are characterized using Nevanlinna-Pick interpolation theory. For these classes optimal robust stabilizers can be obtained in closed forms using ℋ ∞ -optimization technique.

关键词： real parameter uncertainty parametric robust stabilization stabilizability radius stability radius ℋ ∞ -optimization

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