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Mediterranean Conference on control and Automation

作者： Christos D. Korkas Simone Baldi Iakovos Michailidis Yiannis Boutalis Elias B. Kosmatopoulos 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 Delft Center for Systems and Control Delft University of Technology Delft 2628CD The Netherlands Dept. of Electrical and Computer Engineering Democritus University of Thrace Xanthi 67100 Greece

ISBN: (纸本)9781467383479

Microgrids equipped with small-scale renewable-energy generation systems and energy storage units offer challenging opportunity from a control point of view. In fact, in order to improve resilience and enable islanded mode, microgrid energy management systems must dynamically manage controllable loads by considering not only matching energy generation and consumption, but also thermal comfort of the occupants. Thermal comfort, which is often neglected or oversimplified, plays a major role in dynamic demand response, especially in front of intermittent behavior of the renewable energy sources. This paper presents a novel control algorithm for joint demand response management and thermal comfort optimization in a microgrid composed of a block of buildings, a photovoltaic array, a wind turbine, and an energy storage unit. In order to address the large-scale nature of the problem, the proposed control strategy adopt a two-level supervisory strategy: at the lower level, each building employs a local controller that processes only local measurements;at the upper level, a centralized unit supervises and updates the three controllers with the aim of minimizing the aggregate energy cost and thermal discomfort of the microgrid. Comparisons with alternative strategies reveal that the proposed supervisory strategy efficiently manages the demand response so as to sensibly improve independence of the microgrid with respect to the main grid, and guarantees at the same time thermal comfort of the occupants.

关键词： Buildings Microgrids Mathematical model Meteorology Optimization Load management Renewable energy sources

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Adaptive optimization for active queue management supporting TCP flows

Adaptive optimization for active queue management supporting...

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American control Conference

作者： Simone Baldi Elias B. Kosmatopoulos Andreas Pitsillides Marios Lestas Petros A. Ioannou Yiming Wan Delft Center of Systems and Control Netherlands Dept. of Electrical and Computer Engineering Democritus University of Thrace Xanthi Greece Computer Science Department University of Cyprus (UCY) Nicosia Cyprus Department of Electrical Engineering Frederick University Nicosia Cyprus Department of Electrical Engineering University of Southern California Los Angeles USA

ISBN: (纸本)9781467386838

An adaptive decentralized strategy for active queue management of TCP flows over communication networks is presented. The proposed strategy solves locally, at each link, an optimal control problem, minimizing a cost composed of residual capacity and buffer queue size. The solution of the optimal control problem exploits an adaptive optimization algorithm aiming at adaptively minimizing a suitable approximation of the Hamilton-Jacobi-Bellman equation associated with the optimal control problem. Simulations results, obtained by using a fluid flow based model of the communication network and a common network topology, show improvement with respect to the Random Early Detection strategy. Besides, it is shown that the performance of the proposed decentralized solution is comparable with the performance obtained with a centralized strategy, which solves the optimal control problem via a central unit that maintains the flow states of the entire network.

关键词： Protocols Communication networks Optimal control Mathematical model Delays Optimization networks(communications) Optimal control rotation management adaptive optimization protocols Mathematical Model Telecommunications Tritolyl Phosphates tactical command post Network topology delay Residual Volume fluid flow

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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

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arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

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Robust decentralized control of large-scale systems via H∞theory and using descriptor system representation

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International Journal of Systems Science 2016年第12-13期34卷 705-715页

作者： Labibi, B. Lohmann, B. Sedigh, A. Khaki Maralani, P. Jabedar Control Department Electrical Engineering Faculty K. N. Toosi University of Technology Seyyed Khandan Bridge Shariati Street 16314 Iran Dept. of System Dynamics and Control University of Bremen Otto-Hahn-Allee/NW1 28359 Bremen Germany Electrical and Computer Eng. Dept. Faculty of Engineering University of Tehran North Karegar Street Building No. 2 Tehran Iran

In this paper, a method for design of linear decentralized robust controllers for a class of uncertain large-scale systems in general form is presented. For a given large-scale system, an equivalent descriptor system in input-output decentralized form is defined. Using this representation, closed-loop diagonal dominance sufficient conditions are derived. It is shown that by appropriately minimizing the weighted sensitivity function of each isolated subsystem, these conditions are achieved. Solving the appropriately defined H∞local problem for each isolated uncertain subsystem, the interactions between the subsystems are reduced, and the overall stability and robust performance are achieved in spite of uncertainties. The designs are illustrated by a practical example.

关键词： control system synthesis

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Online policy iterations for optimal control of input-saturated systems

Online policy iterations for optimal control of input-satura...

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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 2628CD The Netherlands Department of Engineering Science Control Group University of Oxford Parks Road OX1 3PJ U.K. Dept. of Electrical and Computer Engineering Democritus University of Thrace Xanthi 67100 Greece

ISBN: (纸本)9781467386838

This work proposes an online policy iteration procedure for the synthesis of sub-optimal control laws for uncertain Linear Time Invariant (LTI) Asymptotically Null-controllable with Bounded Inputs (ANCBI) systems. The proposed policy iteration method relies on: a policy evaluation step with a piecewise quadratic Lyapunov function in both the state and the deadzone functions of the input signals;a policy improvement step which guarantees at the same time close to optimality (exploitation) and persistence of excitation (exploration). The proposed approach guarantees convergence of the trajectory to a neighborhood around the origin. Besides, the trajectories can be made arbitrarily close to the optimal one provided that the rate at which the the value function and the control policy are updated is fast enough. The solution to the inequalities required to hold at each policy evaluation step can be efficiently implemented with semidefinite programming (SDP) solvers. A numerical example illustrates the results.

关键词： Optimal control Linear systems Convergence Asymptotic stability Lyapunov methods Estimation Trajectory trajectory Optimal control Lyapunov methods asymptotic stability region Linear system Converge iterative methods control strategy Policies

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controller synthesis for autonomous systems interacting with human operators 15

Controller synthesis for autonomous systems interacting with...

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6th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2015

作者： Feng, Lu Wiltsche, Clemens Humphrey, Laura Topcu, Ufuk Dept. of Computer and Information Science University of Pennsylvania United States Dept. of Computer Science University of Oxford United Kingdom Control Science Center of Excellence AFRL United Kingdom Dept. of Electrical and Systems Engineering University of Pennsylvania United States

ISBN: (纸本)9781450334556

We propose an approach to synthesize control protocols for autonomous systems that account for uncertainties and imperfections in interactions with human operators. As an illustrative example, we consider a scenario involving road network surveillance by an unmanned aerial vehicle (UAV) that is controlled remotely by a human operator but also has a certain degree of autonomy. Depending on the type (i.e., probabilistic and/or nondeterministic) of knowledge about the uncertainties and imperfections in the operator- Autonomy interactions, we use abstractions based on Markov- decision processes and augment these models to stochastic two-player games. Our approach enables the synthesis of operator-dependent optimal mission plans for the UAV, highlighting the effects of operator characteristics (e.g., workload. proficiency, and fatigue) 011 UAV mission performance;it can also provide informative feedback (e.g., Pareto curves showing the trade-offs between multiple mission objectives), potentially assisting the operator in decision-making.

关键词： Markov processes

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Performing Automated Experiments with EJsS Laboratories

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IFAC-PapersOnLine 2015年第29期48卷 134-139页

作者： Galan, Daniel Heradio, Ruben Torre, Luis De La Dormido, Sebastian Esquembre, Francisco Dept. of Computer Science and Automatic Control Universidad Nacional de Educación A Distancia Juan Del Rosal 16 MadridE-28040 Spain Dept. of Software Engineering and Computer Systems Universidad Nacional de Educación A Distancia Juan del Rosal 16 MadridE-28040 Spain Dept. of Mathematics Universidad de Murcia Campus de Espinardo MurciaE-30071 Spain

Existing software allows the development of high quality interactive applications that permit their implementation in laboratories, both virtual and remote. To perform an experiment, the user needs to know how these applications are implemented. In addition, when coding an experiment, the user has to manage the language in which the simulation was created and needs to handle fluently a simulation language just to perform experiments. In the academic field these simulations are used to create virtual and remote laboratories. The authors propose a tool to develop automated experiments for these laboratories. It is intended that the experiments use a powerful and simple language to improve students interaction with the laboratories. That is, avoid repetitive tasks using simple algorithms, data collection and analysis of results, among other features. A new environment for the development of experiments in the authoring tool Easy Java(script) Simulations (EjsS) is proposed. It permits the decoupling of the application design phase from the experiment design. It has been equipped with a language capable of encircling all the expected commands, such as creating events, launching simultaneous applications or modifying their variables. Set with a high level layer, the language allows less experienced users to create their own experiments without having any knowledge of how the application was made. These features will be explained throughout the paper and some physic and control examples of use, as a controller for a cylindrical and a circular tank or a motion controller for a remote robot, will be given to demonstrate the potential of this new environment. © 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Java programming language Application programs computer simulation languages Experiments Laboratories Technology transfer Easy Java(script) Simulations Experimentation Language Remote laboratories Simulations Virtual laboratories

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Isolated/non-isolated quad-inverter configuration for multilevel symmetrical/asymmetrical dual six-phase star-winding converter

Isolated/non-isolated quad-inverter configuration for multil...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Sanjeevikumar Padmanaban Michael R. Hontz Raghav Khanna Patrick William Wheeler Frede Blaabjerg Joseph Olorunfemi Ojo Power Electronics Division Ohm Technologies Chennai India Electrical Engineering & Computer Science Dept. University of Toledo Toledo Ohio USA Power Electronics Machines and Control Group (PEMC) Nottingham University UK Center for Reliable Power Electronics (CORPE) Aalborg University Denmark University of KwaZulu-Natal Durban South Africa Dept. of Electrical & Computer Engg. Tennessee Technological University USA

This article presents the developments of a novel isolated/non-isolated quad inverter configuration for multilevel dual six-phase (twelve-phase) star-winding converter. The modular circuit consists of four standard voltage source inverters (VSIs). Each VSI is incorporated with one bi-directional switch (MOSFET/IGBT) per phase and links with the neutral line through two capacitors which allows symmetrical and asymmetrical operations. A modified single carrier five-level modulation (MSCFM) algorithm is developed and modulates each 2-level VSI as a 5-level output multilevel inverter. The entire AC converter is numerically modeled using Matlab/PLECS simulation software and the predicted behavior of the system is analyzed and presented. Good agreement is obtained between these results and the theoretical analysis. Suitable applications for the converter include (low-voltage/high-current) medium power systems, electrical vehicles, AC tractions, and `More-Electric Aircraft' propulsion systems.

关键词： Inverters Windings Standards Switches Modulation Reliability Capacitors

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Diagnosis of wind turbine rotor system

Diagnosis of wind turbine rotor system

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American control Conference

作者： Henrik Niemann Mahmood Mirzaei Lars Christian Henriksen Niels Kjolstad Poulsen Dept. of Electrical Engineering Automation and Control Build. 326 Technical University of Denmark DK-2800 Kgs. Lyngby Denmark Dept. of wind energy Technical University of Denmark DK-2800 Kgs. Lyngby Denmark AF Consult Lyskaer 3F 2730 Herlev Denmark Dept. of Applied Mathematics and Computer Science Technical University of Denmark DK-2800 Kgs. Lyngby Denmark

ISBN: (纸本)9781467386838

This paper describes a model free method for monitoring and fault diagnosis of the elements in a rotor system for a wind turbine. The diagnosis as well as the monitoring is done without using any model of the wind turbine and the applied controller or a description of the wind profile. The method is based on available standard sensors on wind turbines. The method can be used both on-line as well as off-line. Faults or changes in the rotor system will result in asymmetries, which can be monitored and diagnosed. This can be done by using the multi-blade coordinate transformation. Changes in the rotor system that can be diagnosed and monitored are: actuator faults, sensor faults and internal blade changes as e.g. change in mass of a blade.

关键词： Wind turbines Monitoring Sensors Rotors Fault diagnosis Blades Aerodynamics

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On the comparison of location based software solutions used for tracking purposes in ambient assisted living applications

On the comparison of location based software solutions used ...

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IEEE International Conference on Intelligent computer Communication and Processing (ICCP)

作者： Vasos Hadjioannou Constandinos X. Mavromoustakis Katerina Papanikolaou George Mastorakis Rossitza Goleva Ciprian Dobre Jordi Mongay Batalla Department of Computer Science University of Nicosia Nicosia Cyprus European University Cyprus Nicosia Nicosia CY Dept. of Computer Science and Engineering European University Cyprus Nicosia Cyprus Technical University of Sofia Bulgaria Faculty of Autonomic Control and Computers University Politehnica of Bucharest Bucharest Romania National Institute of Telecommunications Warsaw University of Technology Poland

ISBN: (纸本)9781509039005

Wearable and handheld devices, such smart phones, have come a long way in a very short time as they are capable of providing an extremely vast number of services simply at the click of a button, or even automatically. The diversity of the different embedded sensors (accelerometer, light sensors, etc.) lay the required foundation for the emergence of specialized applications that are capable of serving all kinds of purposes. By taking advantage of this specialized hardware found in smart phones, not only it has become feasible to constantly sense and gather information from the device's environment, but it has also become an effortless task to transmit the collected data to any individual or organization in a plethora of forms. This paper serves as an evaluation method for a location based Android application, SeniorTracker, by presenting a comparison between two applications that are both used for tracking down a device. While both have quite a similar purpose, the way they go about it as well as the ways the application itself can be utilized, drastically differs. SeniorTracker's main purpose lies in the retrieval of the coordinates of a device in case it is located somewhere it is not expected to be, allowing monitoring of persons that potentially will be lost, otherwise. The comparison was mainly focused on the performance of both applications when it comes to location retrieval and energy consumption while keeping in mind the respective tasks that each of them were designed to fulfill.

关键词： Smart phones Global Positioning System Intelligent sensors Ambient assisted living Accelerometers Software

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