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Iranian Conference on Biomedical engineering

作者： Vahid Khodadadi Emad Fatemizadeh S. Kamaledin Setarehdan Department of biomedical Engineering Science and Research Branch Islamic Azad University Electrical engineering department Sharif University of Technology Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering Faculty of Engineering University of Tehran

ISBN: (纸本)9781467393522

Cell dynamics and motion stages are very important issues in the biological cell investigation. in this novel method, we propose a novel method based on Kalman filter and second momentum for tracking cells on Sequential Microscopic Images. In proposed manner at first, we select a cell and cut covering rectangle. in the next step, we predict rectangle center of the cell in Next frame based on a modeling of velocity-acceleration using Kalman filter. The rectangle with triple covering area of previous cell rectangle and predicting center by Kalman filter is considered as a searching area. So, if all objects in the search areas have second momentum error less than threshold, it is selected as a chosen cell and we continue this process till all cells are track. OKF (optimized Kalman filter) algorithm uses second momentum for detecting cells because;value of second momentum doesn't change with rotating cells or changing size. OKF method removes cell after tracking in every frame. So, tracking has an acceptable and excellent precision for tracking in another cell. Also, the algorithm finds cells between frames by changing the reference frame and removing were tracked cells. Performance results of OKF show the proposed method is very admissible, effective method and the work shows great assistance for the cell Cytoplasm tracking. Finally, cells tracking with 98.17% accuracy were achieved by using OKF algorithm.

关键词： Kalman filter Second Momentum Cell Tracking Triple Rectangular OKF Method

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Space QUEST mission proposal: Experimentally testing decoherence due to gravity

arXiv

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arXiv 2017年

作者： Joshi, Siddarth Koduru Pienaar, Jacques Ralph, Timothy C. Cacciapuoti, Luigi McCutcheon, Will Rarity, John Giggenbach, Dirk Lim, Jin Gyu Makarov, Vadim Fuentes, Ivette Scheidl, Thomas Beckert, Erik Bourennane, Mohamed Bruschi, David Edward Cabello, Adan Capmany, Jose Carrasco-Casado, Alberto Diamanti, Eleni Dusek, Miloslav Elser, Dominique Gulinatti, Angelo Hadfield, Robert H. Jennewein, Thomas Kaltenbaek, Rainer Krainak, Michael A. Lo, Hoi-Kwong Marquardt, Christoph Milburn, Gerard Peev, Momtchil Poppe, Andreas Pruneri, Valerio Renner, Renato Salomon, Christophe Skaar, Johannes Solomos, Nikolaos Stipčević, Mario Torres, Juan P. Toyoshima, Morio Villoresi, Paolo Walmsley, Ian Weihs, Gregor Weinfurter, Harald Zeilinger, Anton Zukowski, Marek Ursin, Rupert Institute for Quantum Optics and Quantum Information Austrian Academy of Sciences Boltzmanngasse 3 ViennaA-1090 Austria Centre for Quantum Computation & Communication Technology Department of Physics University of Queensland St LuciaQLD4072 Australia European Space Agency Keplerlaan 1 - P.O. Box 299 AG Noordwijk ZH2200 Netherlands Department of Electrical and Electronic Engineering University of Bristol Merchant Venturers Building Woodland Road BristolBS8 1UB United Kingdom German Aerospace Center Institute of Communications and Navigation Muenchner Strasse 20 Wessling82234 Germany Institute for Quantum Computing Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada Institute for Quantum Computing Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada Precision Engineering Department Fraunhofer IOF Albert-Einstein-Straße 7 Jena07745 Germany Physics department Stockholm University Albanova universitetscentrum Universitetsvägen 10 Stockholm114 18 Sweden York Centre for Quantum Technologies Department of Physics University of York HeslingtonYO10 5DD United Kingdom University of Seville SevillaE-41012 Spain iTEAM Research Institute Universitat Politcnica de Valencia Valencia46022 Spain 4-2-1 Nukui-Kitamachi Koganei Tokyo184-8795 Japan CNRS Universite Pierre et Marie Curie Paris75005 France Department of Optics Faculty of Science Palacky University 17. Iistopadu 12 Olomouc772 00 Czech Republic Max Planck Institute for the Science of Light Bldg. 24 Günther-Scharowsky Str. 1 ErlangenD-91058 Germany Piazza Leonardo da Vinci 32 Milano20133 Italy School of Engineering University of Glasgow GlasgowG12 8LT United Kingdom Vienna Center of Quantum Science and Technology Faculty of Physics University of Vienna Boltzmanngasse 5 ViennaA-1090 Austria NASA Goddard Space Flight Center GreenbeltMD20771 United States Center for Quantum Information and Quantum Con

Models of quantum systems on curved space-times lack sufficient experimental verification. Some speculative theories suggest that quantum properties, such as entanglement, may exhibit entirely different behavior to purely classical systems. By measuring this effect or lack thereof, we can test the hypotheses behind several such models. For instance, as predicted by Ralph and coworkers [T C Ralph, G J Milburn, and T Downes, Phys. Rev. A, 79(2):22121, 2009;T C Ralph and J Pienaar, New Journal of Physics, 16(8):85008, 2014], a bipartite entangled system could decohere if each particle traversed through a different gravitational field gradient. We propose to study this effect in a ground to space uplink scenario. We extend the above theoretical predictions of Ralph and coworkers and discuss the scientific consequences of detecting/failing to detect the predicted gravitational decoherence. We present a detailed mission design of the European Space Agency's (ESA) Space QUEST (Space - Quantum Entanglement Space Test) mission, and study the feasibility of the mission scheme. Copyright © 2017, The Authors. All rights reserved.

关键词： Quantum entanglement

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Cooperative control in production and logistics

Cooperative control in production and logistics

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作者： Monostori, László Valckenaers, Paul Dolgui, Alexandre Panetto, Hervé Brdys, Mietek Csáji, Balázs Csanád Institute for Computer Science and Control Hungarian Academy of Sciences Kende u. 13-17 BudapestH-1111 Hungary Faculty of Mechanical Engineering Budapest University of Technology and Economics Hungary Department of Health Care and Technology KHLeuven Belgium LIMOS UMR 6158 CNRS Ecole Nationale Supérieure des Mines de Saint-Etienne France CNRS CRAN UMR 7039 France Université de Lorraine CRAN UMR 7039 France School of Electronic Electrical and Computer Engineering University of Birmingham United Kingdom Department of Control Systems Engineering Gdansk University of Technology Gdansk Poland

Classical applications of control engineering and information and communication technology (ICT) in production and logistics are often done in a rigid, centralized and hierarchical way. These inflexible approaches are typically not able to cope with the complexities of the manufacturing environment, such as the instabilities, uncertainties and abrupt changes caused by internal and external disturbances, or a large number and variety of interacting, interdependent elements. A paradigm shift, e.g., novel organizing principles and methods, is needed for supporting the interoperability of dynamic alliances of agile and networked systems. Several solution proposals argue that the future of manufacturing and logistics lies in network-like, dynamic, open and reconfigurable systems of cooperative autonomous entities. The paper overviews various distributed approaches and technologies of control engineering and ICT that can support the realization of cooperative structures from the resource level to the level of networked enterprises. Standard results as well as recent advances from control theory, through cooperative game theory, distributed machine learning to holonic systems, cooperative enterprise modeling, system integration, and autonomous logistics processes are surveyed. A special emphasis is put on the theoretical developments and industrial applications of Robustly Feasible Model Predictive control (RFMPC). Two case studies are also discussed: (i) a holonic, PROSA-based approach to generate short-term forecasts for an additive manufacturing system by means of a delegate multi-agent system (D-MAS);and (ii) an application of distributed RFMPC to a drinking water distribution system. © 2015 Elsevier Ltd.

关键词： Model predictive control

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Output feedback control of discrete linear repetitive processes over finite frequency ranges

Output feedback control of discrete linear repetitive proces...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Wojciech Paszke Marcin Boski Eric Rogers Krzysztof Gałkowski Institute of Control and Computation Engineering University of Zielona Góra Zielona Góra Poland Faculty of Electrical Engineering University of Zielona Góra Zielona Góra Poland Department of Electronics and Computer Science University of Southampton UK

Discrete linear repetitive processes operate over a subset of the upper-right quadrant of the 2D plane. They arise in the modeling of physical processes and also the existing systems theory for them can be used to effect in solving control problems for other classes of systems, including iterative learning control design. This paper uses a form of the generalized Kalman-Yakubovich-Popov (GKYP) Lemma to develop new linear matrix inequality (LMI) based stability conditions and an output control law design algorithm. The new algorithm results in a static output feedback control law that ensures stability along the pass and meets the control requirements in finite frequency ranges. Relative to alternatives, the new results in this paper reduce the conservatism in existing designs and should easily extend to design in the presence of uncertainty in the process model. A numerical example to illustrate the application of the new design algorithm concludes the paper.

关键词： Process control Stability analysis Asymptotic stability Symmetric matrices Frequency conversion Frequency control Numerical stability

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Global Stabilization via Sampled-Data Output Feedback control for a Class of Nonlinear Systems Subject to Time-Delays

Global Stabilization via Sampled-Data Output Feedback Contro...

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第三十四届中国控制会议

作者： Hongyan Chu Chunjiang Qian Jiquan Yang Shengyuan Xu Wenting Zha Department of Energy and Mechanical Engineering Nanjing Normal University Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing Normal University School of Automation Nanjing University of Science and Technology Department of Electrical & Computer Engineering The University of Texas at San Antonio Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University

ISBN: (纸本)9781467374439

This paper considers the problem of global output feedback stabilization via sampled-data control for a class of uncertain nonlinear systems subject to time delays. The system satisfies a lower-triangular linear growth condition with unknown growth rates. A new inductive method is first introduced to estimate the state growth in the presence of time delays and nonvarnishing nonlinearities. When only the output of the system is measurable, with the help of output domination approach, a sampled-data output feedback controller is constructed to solve the global stabilization problem. The proposed sampled-data controller is linear in structure and therefore can be easily implemented in practice.

关键词： Sampled-data,output feedback,time delay,domination approach

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Performance prediction of a single-phase capacitor-run axial flux induction motor under static eccentricity

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Australian Journal of electrical and Electronics engineering 2014年第1期11卷 93-104页

作者： Nasiri-Gheidari, Zahra Lesani, H. Tootoonchian, F. Department of Electrical Engineering Sharif University of Technology Tehran Iran Center of Excellence on Control and Intelligent Processing School of Electrical and Computer Engineering Faculty of Engineering University of Tehran Tehran Iran High Speed & High Precision Electrical Machinery Research Lab Iran University of Science and Technology Tehran Iran

Nowadays single-phase axial flux induction motors are widely used in home applications. This increasing usage is because of their distinct advantages over conventional induction motors. Some of these advantages are their planar and adjustable air gap, better power to weight and diameter to length ratio, compact construction, better efficiency, high utilisation of the active materials and thus a favourable power density. This paper deals with analysis and experiment of a single-phase capacitor-run axial flux induction motor (AFIM). The mathematical model of studied motor in transient and steady-state is investigated based on d-q axis theory. In particular, the proposed model takes into account the effect of core saturation, supply voltage and eccentricity. An experimental test setup is built to calculate core B-H curve. Also, a new definition for static eccentricity in direct drive systems is presented and its definition in shaft-coupled axial flux machines is improved. Finally, the studied AFIM is fabricated and tested. The simulation results are in good agreement with experimental data obtained from the prototype motor. © Institution of Engineers Australia, 2014.

关键词： Induction motors

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Extracting Patterns of Single-Trial EEG Using an Adaptive Learning Algorithm

Extracting Patterns of Single-Trial EEG Using an Adaptive Le...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Chin-Teng Lin Yu-Kai Wang Chieh-Ning Fang Yi-Hsin Yu Jung-Tai King the Faculty of Engineering and Information Technology University of Technology Sydney (UTS) Australia the Department of Computer Science and Brain Research Center National Chiao-Tung University Taiwan Institute of Electrical Control Engineering and Brain Research Center National Chiao-Tung University Taiwan the Brain Research Center National Chiao-Tung University Taiwan

ISBN: (纸本)9781424492695

The improvement of brain imaging technique brings about an opportunity for developing and investigating brain-computer interface (BCI) which is a way to interact with computer and environment. The measured brain activities usually constitute the signals of interest and noises. Applying the portable device and removing noise are the benefits to real-world BCI. In this study, one portable electroencephalogram (EEG) system non-invasively acquired brain dynamics through wireless transmission while six subjects participated in the rapid serial visual presentation (RSVP) paradigm. The event-related potential (ERP) was traditionally estimated by ensemble averaging (EA) to increase the signal-to-noise ratio. One adaptive filter of data-reusing radial basis function network (DR-RBFN) was also utilized as the estimator. The results showed that this portable EEG system stably acquired brain activities. Furthermore, the task-related potentials could be clearly explored from the limited samples of EEG data through DR-RBFN. According to the artifact-free data from the portable device, this study demonstrated the potential to move the BCI from laboratory research to real-life application in the near future.

关键词： BCI RSVP EA

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Urysohn measure driven integral equations in the space of bounded variation functions and applications

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AIP Conference Proceedings 2016年第1期1773卷

作者： G. Dimitriu B. Satco 1Department of Mathematics and Informatics Grigore T. Popa University of Medicine and Pharmacy Universităţii 16 Iaşi 700115 Romania 2Faculty of Electrical Engineering and Computer Science Ştefan cel Mare University of Suceava Universităţii 13 Suceava 720229 Romania 3Integrated Center for Research Development and Innovation in Advanced Materials Nanotechnologies and Distributed Systems for Fabrication and Control (MANSiD) Ştefan cel Mare University Suceava Romania

Motivated by the fact that bounded variation (often discontinuous) functions frequently appear when studying integral equations that describe physical phenomena, we focus on the existence of bounded variation solutions for Urysohn integral measure driven equations. Due to numerous applications of Urysohn integral equations in various domains, problems of this kind have been extensively studied in literature, under more restrictive assumptions. Our approach concerns the framework of Kurzweil-Stieltjes integration, which allows the occurrence of high oscillatory features on the right hand side of the equation. A discussion about interesting consequences of our main result (given by particular cases of the measure driving the equation) is presented. Finally, we show the generality of our results by investigating two examples of impulsive type problems (from both theoretical and numerical perspective) and giving an application in electronics industry concerning polarization properties of ferroelectric materials.

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Embedding of nonlinear systems in a linear parameter-varying representation 19

Embedding of nonlinear systems in a linear parameter-varying...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Abbas, Hossam S. Tóth, Roland Petreczky, Mihály Meskin, Nader Mohammadpour, Javad Department of Electrical Engineering College of Engineering Qatar University PO Box 2713 Doha Qatar Control Systems Group Eindhoven University of Technology P.O. Box 513 Eindhoven5600 MB Netherlands Department of Computer Science and Automatic Control Ecole des Mines de Douai Douai59508 France Intelligent Control Systems Lab. College of Engineering University of Georgia AthensGA30602 United States Electrical Engineering Department Faculty of Engineering Assiut University Assiut Egypt

ISBN: (纸本)9783902823625

This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are originally defined by control affine state-space representations. The conversion approach results in LPV state-space representations in the observable canonical form. Based on the relative degree concept of NL systems, the states of a given NL representation are transformed to new coordinates that provide its normal form. In the SISO case, all nonlinearities of the original system are embedded in one NL function which is factorized to construct the LPV form. An algorithms is proposed for this purpose. The resulting transformation yields an LPV model where the scheduling parameter depends on the derivatives of the inputs and outputs of the system. In addition, if the states of the NL model can be measured or estimated, then the procedure can be modified to provide LPV models scheduled by these states. Examples are included for illustration. © IFAC.

关键词： State space methods

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Synchronising second-order multi-agent systems under dynamic topology via reference model-based algorithm

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Journal of control and Decision 2014年第3期1卷 214-225页

作者： Jiahu Qin Huijun Gao Tasawar Hayat Fuad E.Alsaadi Department of Automation University of Science and Technology of ChinaHefeiChina Research School of Engineering Australian National UniversityCanberraAustralia Research Institute of Intelligent Control and Systems Harbin Institute of TechnologyHarbinChina Nonlinear Analysis and Applied Mathematics Group King Abdulaziz University(KAU)JeddahSaudi Arabia Faculty of Engineering Department of Electrical and Computer EngineeringKing Abdulaziz UniversityJeddahSaudi Arabia Department of Mathematics Quaid-I-Azam UniversityIslamabadPakistan

This paper revisits the synchronisation problem for second-order multi-agent systems(MASs)under dynamically changing communication *** employing the reference model-based synchronisation algorithm,it is finally shown that synchronisation for both the position and velocity states can be achieved if the union of the communication topologies has a directed spanning tree frequently *** extends the existing results obtained for second-order MASs which exploits mild communication topology condition guaranteeing the synchronisation to a more general *** analysis is successfully performed by exploiting the product properties of row-stochastic matrices,which can also provide us with an estimate the convergence rate towards the synchronisation.

关键词： synchronisation double-integrator agents weakest possible communication topology rate of convergence

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