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Annual Conference of Industrial Electronics Society

作者： Kexin Liu Jinhu Lü Zongli Lin Academy of Mathematics and Systems Science Key Laboratory of Systems and Control Beijing China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA USA

The design of networked observers has recently received much consideration. This paper is concerned with the design of distributed observers with arbitrarily large communication time delays. A traditional centralized observer assumes access to the full output the plant. In the real world situations, the output is often measured by distributed senors connected through a communication network. We propose the design of a set of distributed observers with time delays in the communication channels. Each observer is regarded as an agent, which obtains local information of the plant and communicates with other observers through an undirected communication network, with arbitrarily large time delays. Conditions are established under which the states of all observers converge exponentially to the plant state. Numerical results are proposed to illustrate our results.

关键词： Observers Delay effects Delays Communication networks Eigenvalues and eigenfunctions Communication channels Network topology

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Metric selection in fast dual forward-backward splitting

Metric selection in fast dual forward-backward splitting

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作者： Giselsson, Pontus Boyd, Stephen Department of Automatic Control Lund University Sweden Electrical Engineering Department Stanford University CA United States

The performance of fast forward-backward splitting, or equivalently fast proximal gradient methods, depends on the conditioning of the optimization problem data. This conditioning is related to a metric that is defined by the space on which the optimization problem is stated;selecting a space on which the optimization data is better conditioned improves the performance of the algorithm. In this paper, we propose several methods, with different computational complexity, to find a space on which the algorithm performs well. We evaluate the proposed metric selection procedures by comparing the performance to the case when the Euclidean space is used. For the most ill-conditioned problem we consider, the computational complexity is improved by two to three orders of magnitude. We also report comparable to superior performance compared to state-of-the-art optimization software. © 2015 Elsevier Ltd.

关键词： Model predictive control

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Adaptive fuzzy sliding mode active vibration control for rail vehicle pantograph

Adaptive fuzzy sliding mode active vibration control for rai...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Tsung-Chih Lin Jian-Lin Yeh Chia-Hao Kuo Yu-Chen Lin Valentina E. Balas Department of Electronic Engineering Feng-Chia University Taichung Taiwan Ph.D. Program of Electrical and Communications Engineering Feng-Chia University Taichung Taiwan Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Department of Automation and Applied Informatics Aurel Vlaicu University of Arad Arad Romania

ISBN: (纸本)9781509006274

In this paper, the uncertain dynamic active pantograph-catenary system which considers the effect of time-varying stiffness resulting from the uneven overhead wire is investigated to improve current collection for light rail vehicle. In order to achieve stable current collection, and hence improve the performance of the overall electricity supply, sliding mode control strategy and adaptive fuzzy sliding mode control scheme are combined. The uplift force which is applied to pantograph frame by actuator is constructed by incorporating fuzzy neural network (FNN) and sliding mode control to attenuate the chattering problem resulting from the sliding mode control. Based on the Lyapunov stability theorem, the active control law and adaptive laws for the free parameters of the FNNs can be derived to effectively suppress vibration of the pantograph system.

关键词： Force Cats Dynamics Wires Sliding mode control Fuzzy neural networks Fuzzy control

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Small-scale reluctance synchronous generator variable speed wind turbine system with DC transmission linked inverters

Small-scale reluctance synchronous generator variable speed ...

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IEEE Energy Conversion Congress and Exposition

作者： J. C. Mitchell M. J. Kamper C. M. Hackl Department of Electrical and Electronic Engineering Stellenbosch University Stellenbosch South-Africa Munich School of Engineering (MSE) Research Group “Control of Renewable Energy Systems (CRES)” Technical University of Munich (TUM) Germany

ISBN: (纸本)9781509007387

In this paper, an alternative layout for small scale back-to-back variable speed wind turbine systems is proposed. This novel layout is created by splitting the converters at their common DC bus and linking them through the wind turbine tower with a DC rated cable. The grid-tie voltage source converter (VSC) is placed at ground level and the generator VSC is placed in the nacelle. Not only does the DC transmission cable allow electrical power to be transferred with minimal copper losses, it allows the nacelle to be more compact and maintenance friendly. The control of a reluctance synchronous generator (RSG), variable speed, fixed pitch wind turbine and grid-connected system is detailed in this paper with specific attention to the control of the DC bus voltage with a DC-link cable. DC bus voltage dynamics are investigated with practical measurements on a 3 kW wind turbine emulator, RSG and LCL-filter grid-tie system. Power input steps at rated power are used to perturb the DC bus system for two different cable lengths. Two minutes of emulated wind speed using a 150 m cable length is also tested. The results show that the DC-link dynamics are controllable.

关键词： Torque Wind turbines Rotors Wind speed Generators Power conversion Wind Energy Conversion systems DC transmission Power conversion Rotors dynamos Torque dc bus voltage variable speed wind turbine copper losses steam turbine system DC bus cable Synchronous generators wind speed Attention control

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control on a molecular scale: A perspective

Control on a molecular scale: A perspective

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American control Conference

作者： Rolf Findeisen Martha A. Grover Christian Wagner Michael Maiworm Ruslan Temirov F. Stefan Tautz Murti V. Salapaka Srinivasa Salapaka Richard D. Braatz S.O. Reza Moheimani Otto-von-Guericke-Universit?t Magdeburg Laboratory for Systems Theory and Automatic Control Germany School of Chemical & Biomolecular Engineering Georgia Institute of Technology USA Peter Gruenberg Institute (PGI-3) Juelich Research Center Germany Electrical and Computer Engineering Department University of Minnesota USA Massachusetts Institute of Technology USA Department of Mechanical Engineering The University of Texas at Dalla USA

ISBN: (纸本)9781467386838

Imaging and manipulating objects down to the molecular level plays a crucial role in many disciplines. It allows to unravel molecular phenomena, to form materials with new chemical and physical properties, or to build objects on an atomic scale. Science on the nanoscale is inherently interdisciplinary. It requires knowledge and insight into many fields, spanning from modeling, measuring, imaging, actuation to control. Often feedback control facilitates operation with molecular precision, despite the fact that many physical phenomena at the molecular level are still not well understood, and that stochastic and nonlinear effects are inherently present. This work provides an insight into some of the current control related research activities on a molecular scale. This is done considering examples from different fields: control related to scanning probe microscopy such as atomic force microscopy, controlled self assembly on a molecular scale, control aspects of molecular transport, and the use of control for manipulation of single molecules using macroscopic probe tips. The hope is that control related researchers, who are not experts in these fields, become aware of the opportunities present, which could also drive new theoretical developments.

关键词： Computational modeling Mathematical model Force Atomic force microscopy Numerical models Computational modeling Atomic Force Microscopy numerical models Mathematical Model Force Standing Orders Scale formation Insight Transport Process Physical Phenomena Scanning Probe Microscopy Hopefulness Research Activities chemical and physical properties feedback control

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Attitude synchronization of multiple rigid bodies in SE(3) over proximity networks

Attitude synchronization of multiple rigid bodies in SE(3) o...

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第35届中国控制会议

作者： Juan Deng Zhixin Liu Lin Wang John S.Baras Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceCAS Department of Automation Shanghai Jiao Tong Universityand the Key Laboratory of System Control and Information ProcessingMinistry of Education Department of Electrical and Computer Engineering and the Institute for Systems Research University of MarylandCollege Park

ISBN: (纸本)9781509009107

This paper investigates the attitude synchronization of a group of moving rigid bodies whose states including positions and rotation matrices evolve in the Lie group SE(3).The commonly used circular neighborhood is adopted,and the neighbor graphs are described by proximity *** order to avoid introducing discussions on the abrupt changes of neighbor graphs,a dwell time is *** distributed sampled-data control law for the angular velocity is *** the assumptions on the initial states,we provide sufficient conditions for the attitude synchronization of multiple rigid body *** with the existing results,our condition depends only on the neighborhood radius,the moving velocity and the dwell time.

关键词： rigid body SE(3) attitude synchronization sampled-data control proximity network

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Nadzoru: A Software Tool for Supervisory control of Discrete Event systems

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IFAC-PapersOnLine 2015年第7期48卷 182-187页

作者： Pinheiro, Lucas Preischadt Lopes, Yuri Kaszubowski Leal, André Bittencourt Rosso Junior, Roberto Silvio Ubertino Department of Computer Science Santa Catarina State University Joinville-SC Brazil Department of Automatic Control and Systems Engineering Sheffield Robotics University of Sheffield Sheffield South Yorkshire United Kingdom Department of Electrical Engineering Santa Catarina State University Joinville-SC Brazil

This article presents a software tool for the synthesis of supervisory control based on untimed finite state automata. The tool has a friendly graphical interface for the creation of models and, among other features, allows: automata simulation;analysis of problems related to the implementation of the control logic;and code generation for multiple devices. The code generation is based on a template system that allows the easy inclusion of support for new devices. Currently the tool is able to generate code for some microcontrollers and programmable logic controllers. Another feature of the tool is the capability of being easily extended with new algorithms and modules. © 2015

关键词： Discrete event simulation

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Robust Multimodel control Applied on Hydraulic Turbine Model

Robust Multimodel Control Applied on Hydraulic Turbine Model

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International Conference on Cybernetics and Informatics

作者： Jakub Osusky Maria Hypiusova Teofana Puleva Institute of Automotive Mechatronics Faculty of Electrical Engineering and Information Technology Slovak University of Technology Department of Systems and Control Faculty of Automatics Technical University oof Sofia

ISBN: (纸本)9781509018352

The paper deals with the departition of nonlinear system into several linear models and application of multimodel control, robust control and their combination on hydraulic turbine model. controller design will be done in the frequency domain using the Edge Theorem and the Neymark D-partition method using the affine model. The proposed method guarantees stability and performance in form of the required degree of stability. Hydraulic turbine model is analyzed as system with unstructured uncertainty and robust stability condition is included in controller design. Multimodel and robust control approaches are presented in details, compared and used for derivation new approaches based on Edge Theorem combining advantages of both ones.

关键词： Multimodel control Robust control Hybrid control Hydraulic turbine

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Identification of Stochastic Wiener systems using Indirect Inference

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IFAC-PapersOnLine 2015年第28期48卷 620-625页

作者： Wahlberg, Bo Welsh, James Ljung, Lennart Department of Automatic Control and ACCESS School of Electrical Engineering KTH Royal Institute of Technology StockholmSE-100 44 Sweden School of Elect Engineering and Computer Science The University of Newcastle CallaghanNSW 2308 Australia Division of Automatic Control Linköping University LinköpingSE-581 83 Sweden

We study identification of stochastic Wiener dynamic systems using so-called indirect inference. The main idea is to first fit an auxiliary model to the observed data and then in a second step, often by simulation, fit a more structured model to the estimated auxiliary model. This two-step procedure can be used when the direct maximum-likelihood estimate is dificult or intractable to compute. One such example is the identification of stochastic Wiener systems, i.e., linear dynamic systems with process noise where the output is measured using a nonlinear sensor with additive measurement noise. It is in principle possible to evaluate the loglikelihood cost function using numerical integration, but the corresponding optimization problem can be quite intricate. This motivates studying consistent, but sub-optimal, identification methods for stochastic Wiener systems. We will consider indirect inference using the best linear approximation as an auxiliary *** show that the key to obtain a reliable estimate is to use uncertainty weighting when fitting the stochastic Wiener model to the auxiliary model estimate. The main technical contribution of this paper is the corresponding asymptotic variance analysis. A numerical evaluation is presented based on a first-order finite impulse response system with a cubic non-linearity, for which certain illustrative analytic properties are derived. © 2015

关键词： Stochastic models Cost functions Identification (control systems) Impulse response Linear control systems Linear systems Maximum likelihood estimation Nonlinear systems Stochastic systems Uncertainty analysis Best linear approximations Finite impulse response system Indirect inference Maximum likelihood estimate Numerical integrations Optimization problems Technical contribution Wiener systems

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Predicting Risk of Suicide Using Resting State Heart Rate

Predicting Risk of Suicide Using Resting State Heart Rate

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Asia-Pacific Signal and Information Processing Association Annual Summit and Conference

作者： Daud Sikander Mahnaz Arvaneh Francesco Amico Graham Healy Tomas Ward Damien Kearney Eva Mohedano Jennifer Fagan John Yek Alan F. Smeaton Justin Brophy Automatic Control and Systems Engineering Department University of Sheffield Sheffield United Kingdom Newcastle Hospital Co. Wicklow Ireland The Insight Centre for Data Analytics Dublin City University Ireland Biomedical Engineering Research Group Maynooth University Ireland

ISBN: (纸本)9781509024018

This study investigates the potential of using heart rate-related measurements to aid clinicians in predicting suicide risk. For this purpose, heart rate was recorded during 10 minutes resting state from 15 patients with suicide ideation and 15 healthy subjects using an affordable and wearable sensor. Our results showed statistically significant differences (p<0.05) in two time-domain features measuring overall heart rate variability and short term heart rate variations. KNN and SVM classifiers were implemented on the features obtained. Our results showed that using heart rate-related features the risk of suicide could be predicted by an average accuracy of 80%.

关键词： Predicting Risk Suicide Resting State Heart Rate

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