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

作者： M. Petti S. Caschera A. Anzolin J. Toppi F. Pichiorri F. Babiloni F. Cincotti D. Mattia L. Astolfi the Department of Computer Control and Management Engineering Univ. of Rome "Sapienza" and with Fondazione Santa Lucia Hospital Rome Italy Fondazione Santa Lucia Rome Italy the Dept. Molecular Medicine of the University of Rome "Sapienza" and with Fondazione Santa Lucia Rome Italy

ISBN: (纸本)9781424492695

Partial Directed Coherence (PDC) is a powerful estimator of effective connectivity. In neuroscience it is used in different applications with the aim to investigate the communication between brain regions during the execution of different motor or cognitive tasks. When multiple trials are available, PDC can be computed over multiple realizations, provided that the assumption of stationarity across trials is verified. This allows to improve the amount of data, which is an important constraint for the estimation accuracy. However, the stationarity of the data across trials is not always guaranteed, especially when dealing with patients. In this study we investigated how the inter-trials variability of an EEG dataset affects the PDC accuracy. Effects of density variations and of changes of connectivity values across trials were first investigated with a simulation study and then tested on real EEG data collected from two post-stroke patients during a motor imagery task and characterized by different inter-trials variability. Results showed the effect of different factors on the PDC accuracy and the robustness of such estimator in a range of conditions met in practical applications.

关键词： PDC EEG Effect

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A Novel Frequency Regulation Strategy with the Application of Energy Storage System for Large Scale Wind Power Integration

A Novel Frequency Regulation Strategy with the Application o...

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IEEE Green Technologies Conference (IEEE-Green)

作者： Linlin Wu Wenzhong Gao Zhengpai Cui Xiao Kou Dept. of Smart Grid and Renewable Resource Tech. State Grid Jibei Electric Co. Ltd. Research Institute Beijing China Electric Power Dispatching and Control Center State Grid Jibci Electric Co. Ltd Beijing China Dept. Electrical and Computer Engineering University of Denver Denver Colorado USA

ISBN: (纸本)9781479988853

Integration of large scale wind power is both economical and environmentally-friendly. However, stochasticity and intermittency of wind power bring new challenges to frequency stability issue of the wind power system. The frequency regulation capacity limitation of the power system is one of the most important reasons limiting integration capacity of wind power. The power output of energy storage system (ESS) can be regulated very rapidly. Hence, it is feasible and effective for ESS to participate in system frequency regulation. This will increase overall system frequency regulation capacity and thus helps accommodating more wind power integrated into the power grid. A novel strategy for ESS to participate in frequency regulation is proposed in this paper. The control strategy includes two stages: in the first stage, ESS regulates its power output based on the wind power prediction information, in the second stage, frequency feedback is used to regulate the ESS power output to further reduce steady state frequency deviation. Since the ESS power output can be regulated before the frequency deviation happens, the dynamic response speed of frequency regulation of ESS can be significantly improved. Besides, frequency deviation can be decreased thanks to the step command in the first stage. Simulation of a wind power system is performed in Real Time Digital Simualtor (RTDS) and the results show the effectiveness of the proposed method.

关键词： Frequency control Wind power generation Time-frequency analysis Energy storage Power system stability Steady-state Simulation

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Multi-objective control strategy for energy management of grid-connected heterogeneous microgrids

Multi-objective control strategy for energy management of gr...

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American control Conference

作者： Christos D. Korkas Simone Baldi Iakovos Michailidis Elias B. Kosmatopoulos Dept. of Electrical and Computer Engineering Democritus University of Thrace Xanthi 67100 Greece Delft Center for Systems and Control Delft University of Technology Delft 2628CD The Netherlands Informatics & Telematics Institute Center for Research and Technology Hellas (ITI-CERTH) Thessaloniki 57001 Greece

ISBN: (纸本)9781479917730

The demand-side energy management of microgrids comprising of buildings of heterogeneous nature (residential, commercial, industrial, etc.) and thus exhibiting heterogeneous occupancy pattern, requires the development of appropriate energy management systems (EMSs) that can integrate the maximum exploitation of the distributed energy resources like photovoltaic panels with the thermal comfort of the occupants. This paper presents a simulation-based optimization approach for the design of an EMS in grid-connected photovoltaic-equipped microgrids with heterogeneous buildings and occupancy schedules. The EMS optimizes a multi-objective criterion that takes into account both the energy cost and the thermal comfort of the aggregate microgrid. A three-building microgrid test case is used to demonstrate the effectiveness of the proposed approach: comparisons with alternative rule-based and optimization-based EMSs show that the proposed EMS strategy exploits the occupancy information to automatically change the energy demand of each building, resulting in improved energy cost and thermal comfort.

关键词： Energy management THERMAL COMFORT Energy costs MICRO-GRID Vehicle Occupancy multi-objective control Buildings control strategy distributed energy resources Optimal design

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Improved chicken swarm optimization

Improved chicken swarm optimization

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems

作者： Dinghui Wu Fei Kong Wenzhong Gao Yanxia Shen Zhicheng Ji Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology Jiangnan University Wuxi Jiangsu China Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University Wuxi Jiangsu China Dept. of Electrical and Computer Engineering University of Denver Denver CO USA

ISBN: (纸本)9781479987313

Considering the problem that the original chicken swarm optimization algorithm is easy to fall into local optimum because of premature convergence for high-dimensional complex problems, an improved chicken swarm optimization was proposed. In this algorithm, the part of chicks learning from the rooster in their subgroup is added to chick's position update equation, and the inertia weight and learning factor are also introduced. Then eight benchmark functions are used to test the proposed algorithm and the comparison with particle swarm optimization, bat algorithm, and original chicken swarm optimization are also performed. The simulated experimental results showed that the proposed algorithm is able to avoid premature convergence and therefore can escape from local optimum. Especially, the proposed method outperforms other evolutionary algorithms in finding the global optimum for high-dimensional problems.

关键词： Convergence Algorithm design and analysis Particle swarm optimization Benchmark testing Optimization Accuracy Standards

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Multi-innovation observer based fault detection for pitch system of wind turbines

Multi-innovation observer based fault detection for pitch sy...

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems

作者： Dinghui Wu Yanjie Zhai Wenzhong Gao Yanxia Shen Zhicheng Ji Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology Jiangnan University Wuxi Jiangsu China Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University Wuxi Jiangsu China Dept. of Electrical and Computer Engineering University of Denver Denver CO USA

ISBN: (纸本)9781479987313

Considering the pitch sensor fault of pitch systems in wind turbines, a multi-innovation observer based fault detection method is proposed. The pitch system can be modeled as a second order differential equation. And then the equation is transformed into a state space model. According to the state space model, a multi-innovation observer is designed to estimate the system state. The pitch sensor fault can be detected through the residual which is generated by comparing the state estimation with the output of an actual system. The simulation results show that the proposed approach is able to detect the pitch sensor fault effectively.

关键词： Wind turbines Observers Fault detection Technological innovation Fault diagnosis Shafts

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Piecewise Polynomial Policy Iterations for Synthesis of Optimal control Laws in Input-Saturated Systems

Piecewise Polynomial Policy Iterations for Synthesis of Opti...

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American control Conference

作者： Simone Baldi Giorgio Valmorbida Antonis Papachristodoulou Elias B. Kosmatopoulos Delft Center for Systems and Control Delft University of Technology Delft 2628CD The Netherlands Department of Engineering Science Control Group University of Oxford Parks Road Oxford OX1 3PJ U.K. Dept. of Electrical and Computer Engineering Democritus University of Thrace Xanthi 67100 Greece and Informatics & Telematics Institute Center for Research and Technology Hellas (ITI-CERTH) Thessaloniki 57001 Greece

ISBN: (纸本)9781479917730

This work proposes a policy iteration procedure for the synthesis of optimal and globally stabilizing control policies for Linear Time Invariant (LTI) Asymptotically Null-controllable with Bounded Inputs (ANCBI) systems. This class includes systems with eigenvalues on the imaginary axis (possibly repeated) but no pole with positive real part. The proposed policy iteration relies on a class of piecewise quadratic Lyapunov functions which is non-differentiable, but continuous, and polynomial in both the state and the deadzone functions of the input signals. The second step of the policy iteration is based on a piecewise control policy improvement. An important aspect of the proposed piecewise policy is that at each step of the iteration the computed policy is globally stabilizing and the existence of an improving value function is guaranteed as well. The solution to the inequalities which is required to hold at each step of the policy iteration, is obtained by solving Sum-of-Squares Programs (SOSP) that can be efficiently implemented with semidefinite programming (SDP) solvers.

关键词： iterative methods Policies Piecewise control law synthesis Polynomial control strategy Liapunov function Bounded

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Cyclic scheduling of multimodal concurrently flowing processes

Cyclic scheduling of multimodal concurrently flowing process...

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International Conference on Systems Science, ICSS 2013

作者： Bocewicz, Grzegorz Wójcik, Robert Banaszak, Zbigniew Koszalin University of Technology Dept. of Computer Science and Management ul. Sniadeckich 2 Koszalin75-453 Poland Institute of Computer Engineering Control and Robotics Wroclaw University of Technology Wroclaw Poland Warsaw University of Technology Dept. of Business Informatics Warsaw Poland

ISBN: (纸本)9783319018560

The problem of cyclic scheduling of multimodal concurrent processes (MCPs) is considered. Processes composed of sub-sequences of local cyclic processes (LCPs) are treated as multimodal processes, e.g. in case local processes encompass the subway lines network the relevant multimodal processes can be seen as passengers traveling itineraries this network. Since LCPs network implies a MCPs behavior, the following fundamental questions arise: Does the given LCPs network guarantee an assumed cyclic schedule of the MCPs at hand? Does there exist the LCPs network such that an assumed cyclic schedule of MCPs can be achieved? In that context our contribution is to propose a declarative framework allowing one to take into account both direct and reverse problems formulation. © Springer International Publishing Switzerland 2014.

关键词： Scheduling

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Abstracts from the 1st International Symposium on Decision Support in Anaesthesia and Intensive Care

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International journal of clinical monitoring and computing 2016年第1期14卷 49-68页

作者： D. Streifert N. Lutter E. Van der Vorst J. Mulier B. Schwilk U. Bothner R. Muche W. Friesdorf K. J. Ruskin A. F. de Geus G. E. Wiersma R. Huet H. Neuffer F. Fischer U. J. Christensen P. F. Jensen J. Jacobsen H. Ørding A. M. Brambrink V. Goel D. F. Hanley K. Becker H. D. Shaffner L. J. Martin N. V. Thakor R. C. Koehler R. J. Traystman M. Quintel M. Apin J. Martin M. Messelken R. Dieterle-Paterakis J. Hiller P. Milewski H. Gross U. Foehring N. Weiler B. Eberle W. Heinrichs W. Höltermann M. van Wickern D. M. Linton J. J. Ross D. G. Mason M. D. Pullman N. D. Edwards M. Doi R. J. Gajraj H. Mantzardis G. N. C. Kenny R. Markgraf G. Deutschinoff L. Pientka T. Scholten J. Maljers St. Walther A. Santevecci R. Ranieri Department of Anaesthesiology University of Erlangen-Nuernberg Erlangen Germany University Hospital Gasthuisberg B Leuven Belgium Department of Anaesthesiology University of Ulm Ulm Germany Yale University School of Medicine New Haven USA Department of Anesthesiology University Hospital Groningen RB The Netherlands Dept. Computer-Aided Circuit Design University of Erlangen-Nuernberg Erlangen Germany Dept. of Anaesthesiology Herlev Hospital University of Copenhagen Herlev Denmark Department of Anaesthesiology Johannes Gutenberg-University Medical School Mainz Germany The Johns Hopkins Medical Institution Baltimore USA Institut für Anästhesiolgie und operative Intensivmedizin Klinikum Mannheim Fakultät für klinische Medizin Universität Heidelberg Heidelberg Germany Department for Anaesthesiology and Intensive Care Medicine Hospital “Am Eichert” Goeppingen Germany Physikalisch-Technische Bundesanstalt Berlin Germany Klinik für Anaesthesiologie & Operative Intensivmedizin Klinikum Benjamin Franklin Freie Universitaet Berlin Berlin Germany Department of Anaesthesia and Intensive Care Medicine University Hospital Marburg Germany Medical Intensive Care Department of Medicine Hadassah Medical Organisation Jerusalem Israel Department of Anaesthetics University of Sheffield Northern General Hospital Sheffield UK Department of Automatic Control & Systems Engineering University of Sheffield Sheffield UK University Department of Anaesthesia HCI International Medical Centre Glasgow UK Department of Internal Medicine Allgemeines Krankenhaus für die Stadt Hagen University of Witten/Herdecke Witten Germany Plexus Medical Group Amsterdam Amsterdam The Netherlands Network Division USA Dept. of Anesthesiology and Intensive Care Università Cattolica del Sacro Cuore - Roma (Italy) Italy

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Visual analysis based on dominator trees with application to personalized eLearning

Visual analysis based on dominator trees with application to...

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13th International Conference on Advances in Web-Based Learning, ICWL 2014

作者： Laura, Luigi Nanni, Umberto Temperini, Marco Dept. of Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome Via Ariosto 25 00185 Roma Italy Sapienza Università di Roma Italy

ISBN: (纸本)9783319096346

The visualization of large graphs in interactive applications, specifically on small devices, can make harder to understand and analyze the displayed information. We show as simple topological properties of the graph can provide an efficient automatic computation of properties which improves the "readability" of a large graph by a proper selection of the displayed information. We show an approach to the visualization of a learning activity based on connectivity and related concepts as effective tools for visual analysis by learners, and by administrator of a repository. © 2014 Springer International Publishing.

关键词： Visualization

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A control theoretical approach to congestion control of TCP/AQM networks 10

A control theoretical approach to congestion control of TCP/...

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2009 10th European control Conference, ECC 2009

作者： Alvarez, Teresa Salim, Anuar Maestre, J.M. Department of Engineering Science and Automatic Control School of Computer Engineering University of Valladolid Spain Department of Engineering Science and Automatic Control Faculty of Science University of Valladolid Spain Dept. de Ingeniería de Sistemas y Automática Escuela Superior de Ingenieros University of Seville Spain

ISBN: (纸本)9783952417393

This paper shows how control techniques, such as PID or generalized predictive control, can improve the performance of TCP/IP networks when dealing with congestion. Drop tail, or more sophisticated AQM techniques such as RED, perform worse than process control techniques. A comparison between the different methods in different working scenarios is analyzed. Two different GPC controllers are evaluated. One considers the model resulting from on-line identification and the other is the linearization of the non-linear model. © 2009 EUCA.

关键词： Transmission control protocol

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