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World Congress Integrative Medicine & Health 2017: part two Berlin, Germany. 3-5 May 2017 Abstracts

BMC COMPLEMENTARY AND ALTERNATIVE MEDICINE 2017年第SUPPL 1期17卷 317-317页

作者： [Anonymous] National Institute of Complementary Medicine Western Sydney University Sydney Australia Department of General Practice University of Melbourne Melbourne Australia School of Rehabilitation Therapy Queens University Ontario Canada School of Health and Biomedical Sciences RMIT University Melbourne Australia School of Public Health and Preventive Medicine Monash University Melbourne Australia NAFKAM UiT The Arctic University of Norway Tromsø 9019 Norway Department of Psychology University of Sheffield Sheffield S1 1HD UK Department of Community Medicine UiT The Arctic University of Norway Tromsø 9019 Norway Institue of General Practice Goethe University Frankfurt Frankfurt 60590 Germany Department of General Practice University of Tübingen Tübingen Germany Med.-pharm. Information/Klinische Forschung WALA Heilmittel GmbH Bad Boll/ Eckwälden 73087 Germany Ressortleitung Wissenschaft WALA Heilmittel GmbH Bad Boll/Eckwälden 73087 Germany University of Minnnesota Minneapolis 55455 MN USA Minneapolis College of Art and Design Minneapolis MN USA Duke University Durham NC USA Caring Bridge Minneapolis MN USA University of Minnesota Minneapolis 55455 MN USA Phytomedicines Supply and Development Center Innovation & Development Bayer Consumer Health Steigerwald Arzneimittelwerk GmbH Darmstadt 68526 Germany University Medicine of Rostock Rostock 18055 Germany Primary Care and Population Sciences University of Southampton Southampton UK Psychology University of Southampton Southampton UK Faculty of Health University of Technology Sydney Sydney 2007 Australia st Department of Pathology and Experimental Cancer Research Semmelweis University Budapest 1085 Hungary University of Alberta Edmonton Canada Parker University Dallas TX USA Canadian Memorial Chiropractic College Toronto Canada Anglo-European College of Chiropractic Bournemouth UK University of Calgary Calgary Canada University of Toronto Toronto Canada University of Hawaii at Manoa Honolulu Hawai’

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Benchmarking aerodynamic prediction of unsteady rotor aerodynamics of active flaps on wind turbine blades using ranging fidelity tools

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Journal of Physics: Conference Series 2016年第2期753卷

作者： Thanasis Barlas Eva Jost Georg Pirrung Theofanis Tsiantas Vasilis Riziotis Sachin T. Navalkar Thorsten Lutz Jan-Willem van Wingerden Technical University of Denmark Department of Wind Energy Aerodynamic Design & Loads and Control DTU Risø Campus Fredriksborgvej 399 4000 Roskilde Denmark Institute of Aerodynamics and Gas Dynamics University of Stuttgart Pfaffenwaldring 21 70569 Stuttgart Germany National Technical University of Athens School of Mechanical Engineering Section of Fluids Heroon Polytechniou 9 15780 Zografou Athens Greece Delft University of Technology Delft Center for Systems and Control Faculty of Mechanical Engineering 2628 CD Delft the Netherlands

Simulations of a stiff rotor configuration of the DTU 10MW Reference Wind Turbine are performed in order to assess the impact of prescribed flap motion on the aerodynamic loads on a blade sectional and rotor integral level. Results of the engineering models used by DTU (HAWC2), TUDelft (Bladed) and NTUA (hGAST) are compared to the CFD predictions of USTUTT-IAG (FLOWer). Results show fairly good comparison in terms of axial loading, while alignment of tangential and drag-related forces across the numerical codes needs to be improved, together with unsteady corrections associated with rotor wake dynamics. The use of a new wake model in HAWC2 shows considerable accuracy improvements.

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Comparison of sensor configurations for mass flow estimation of turbocharged diesel engines

Lecture Notes in Control and Information Sciences

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Lecture Notes in control and Information Sciences 2012年 418卷 303-326页

作者： Polóni, Tomáš Rohal'-Ilkiv, Boris Alberer, Daniel Del Re, Luigi Johansen, Tor Arne Institute of Automation Measurement and Applied Informatics Faculty of Mechanical Engineering Slovak University of Technology Bratislava Slovakia Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Austria Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim Norway

ISBN: (纸本)9781447122203

The increasing demands on quality of power, emissions and overall performance of combustion engines lay new goals for the hardware and the software development of control systems. High-performance embedded controllers open the possibilities for application of numerical methods to solve the problems of modeling and control of combustion engines. Algorithms for estimation of state and parameters are essential components of many advanced control, monitoring and signal processing engine applications. A widely applicable estimator is given by the Extended Kalman Filter (EKF) which defines a finite memory recursive algorithm suited for real-time implementation, where only the last measurement is used to update the state estimate, based on the past history being approximately summarized by the a priori estimate of the state and the error covariance matrix estimate. The proposed EKF uses an augmented air-path state-space model to estimate unmeasurable mass flow quantities. The EKF algorithm based on the augmented state-space model considerably reduces the modeling errors compared to the open loop estimator simulation and compared to the EKF without the augmentation which is demonstrated on a standard production Diesel engine data. The experimental validation of the observed state quantities is performed against the measured pressures and turbocharger speed data. The estimated mass flow quantities are indirectly validated through the air compressor flow that is directly validated against air mass flow sensor data. Two two-sensor setups are considered in this study. In the first experiment the intake manifold pressure and the turbocharger speed is used. The second experiment uses the intake manifold pressure and the exhaust manifold pressure as the measurement information for the EKF. The second experiment gives more precise mass flow estimate in term of less bias on the estimates, but more variance due to the high frequency exhaust manifold pressure variations caused by the

关键词： Mass transfer

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A novel approach to the model reference adaptive control of MIMO systems

A novel approach to the model reference adaptive control of ...

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19th International Workshop on Robotics in Alpe-Adria-Danube Region, RAAD 2010

作者： Tar, J.K. Rudas, I.J. Bitó, J.F. Kozlowski, K.R. Pozna, C. Institute of Intelligent Engineering Systems John von Neumann Faculty of Informatics Ó Buda University Bécsi út 96/B H-1034 Budapest Hungary Department of Control and Systems Engineering Computing Science and Management Poznań University of Technology Piotrowo 3a 60-965 Poznań Poland Design and Robotics Department University Transilvania of Brasov Bd. Eroilor 29 Brasov Romania

ISBN: (纸本)9781424468867

The "Model Reference Adaptive control (MRAC)" is a popular approach from the early nineties to our days. Its basic idea is the application of proper feedback that makes the behavior of the controlled system identical to that of the "reference model" that normally is simple enough to control. The idea has many particular variants with the common feature that they are designed by the use of Lyapunov's 2nd ("direct") method that normally applies a quadratic Lyapunov function constructed of the tracking error and further additional terms. Though this approach normally guarantees global asymptotic stability, its use can entail complicated tuning that may have disadvantages whenever very fast applications are needed. In this paper an alternative problem tackling, the application of "Robust Fixed Point Transformations (RFPT)" in the MRAC technique is recommended. This approach applies strongly saturated, multiplicative nonlinear terms causing a kind of "deformation" of the input of the available imprecise system model. Instead parameter tuning that is typical in the traditional MRAC it operates with a simple convergence guaranteed only within a local basin of attraction. This technique can well compensate the simultaneous consequences of modeling errors and external disturbances that normally can "fob" the more traditional, tuning based approaches. As a potential application paradigm the novel MRAC control of a "cart-beam-hamper" system is considered. The conclusions of the paper are illustrated by simulation results. © 2010 IEEE.

关键词： Model reference adaptive control

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Modeling and control of the boost pressure for a diesel engine based on LPV techniques

Modeling and control of the boost pressure for a diesel engi...

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American control Conference (ACC)

作者： Xiukun Wei L. del Re Faculty of the institute of Design and Control of Machatronical Systems Johannes Kepler University Linz Linz Austria

The air path system dynamics is critical for the performance and emissions of turbo charged diesel engines. This paper proposes to approximate the inherently nonlinear dynamics of the air path by a linear parameter varying (LPV) model and to design the control law using a pole placement method for LPV systems. The plant properties and nominal closed loop system performance are investigated. Simulation results show that the controller can achieve satisfied performance. The control performance is validated on a dynamical test cell equipped with a BMW M47 diesel engine

关键词： Pressure control Diesel engines control systems State feedback Nonlinear dynamical systems Vehicle dynamics Fuels Petroleum Production Solid modeling

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Robust adaptive control of quasi-LPV systems

Robust adaptive control of quasi-LPV systems

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Xiukun Wei L. Del Re Jindong Tan Faculty of the institute of Design and Control of Machatronical Systems Johannes Kepler University Linz Austria Johannes Kepler Universitat Linz Linz AT Faculty of Department of Electrical and Computer Engineering Michigan Technological University USA

In this paper a robust adaptive pole placement method for a class of linear parameter varying (LPV) system based on input-output description is constructed after the LPV system model, including its un-modeled error model term, is presented. The recursive least square estimation algorithm with dead zone is applied for the parameter estimation. The robust stability of closed-loop system is analyzed and the robust bound is derived. One simulation example illustrates the effectiveness of the control algorithm and demonstrates that the adaptive control based on LPV model can achieve better performance than the controller based on linear time varying (LTV) model

关键词： Robust control Adaptive control Least squares approximation Robustness Parameter estimation Nonlinear systems control systems Programmable control State feedback Robust stability

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Transport of Mars-Crossing Asteroids from the Quasi-Hilda Region

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Physical Review Letters 2005年第23期94卷 231102-231102页

作者： Michael Dellnitz Oliver Junge Martin W. Lo Jerrold E. Marsden Kathrin Padberg Robert Preis Shane D. Ross Bianca Thiere Faculty of Computer Science Electrical Engineering and Mathematics University of Paderborn D-33095 Paderborn Germany Navigation and Mission Design Jet Propulsion Laboratory California Institute of Technology M/S 301-140L 4800 Oak Grove Drive Pasadena California 91109 USA Control and Dynamical Systems California Institute of Technology MC 107-81 Pasadena California 91125 USA Department of Aerospace and Mechanical Engineering University of Southern California Los Angeles California 90089 USA

We employ set oriented methods in combination with graph partitioning algorithms to identify key dynamical regions in the Sun-Jupiter-particle three-body system. Transport rates from a region near the 3∶2 Hilda resonance into the realm of orbits crossing Mars’ orbit are computed. In contrast to common numerical approaches, our technique does not depend on single long term simulations of the underlying model. Thus, our statistical results are particularly reliable since they are not affected by a dynamical behavior which is almost nonergodic (i.e., dominated by strongly almost invariant sets).

关键词： .graph orbits partitioning week ending Asteroids Preis Mars-Crossing Quasi-Hilda

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LPV Dynamical Models of Diesel Engine NOX Emission

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IFAC Proceedings Volumes 2004年第22期37卷 245-250页

作者： Xiukun Wei Luigi Del Re Peter Langthaler Institute of Design and Control of Machatronical Systems Johannes Kepler University Linz Austria.

In this paper, the use of LPV models for the dynamic model of nitrogen oxides (NOx) produced by DI diesel engine based on measurement data is investigated. Engine emission control is an essential aspect to reduce the vehicle pollution and is usually achieved mostly by static maps, which are incapable to fulfill the rising demand of new and more strict emission standards in the future. LPV models can be seen as the natural dynamic extension of static maps. In this paper, the LPV local model of nitrogen oxides (NOx) is presented as well as the global model based on the fuzzy weighting approach

关键词： Diesel engines estimation fuzzy models nonlinear model local global

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LPV Identification of a Diesel Engine Torque Model 13

LPV Identification of a Diesel Engine Torque Model

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13th IFAC Symposium on System Identification, SYSID 2003

作者： Wei, Xiukun Del Re, Luigi Institute of Design and Control of Machatronical Systems Johannes Kepler University Linz Austria

Torque estimation has an increasing importance in the field of automotive control, as most engine controllers rely on torque estimation today. In this paper a new approach based on a linear parameter varying (LPV) model is proposed. It relies on a non linear subspace identification method and exploits the natural dependency of many engine processes on the rotational speed, but does not use a physical model, which is very time consuming and difficult to obtain. To this end, first a LPV state space method is introduced and then experimental results are presented which show that the model exhibits high accuracy. © 2003 International Federation of Automatic control.

关键词： Diesel engines

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LPV Identification of a Diesel Engine Torque Model

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IFAC Proceedings Volumes 2003年第16期36卷 1405-1410页

作者： Xiukun Wei Luigi Del Re Institute of Design and Control of Machatronical Systems Johannes Kepler University Linz Austria.

关键词： Parameter Varying Identification Automotive State Space LPV

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