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作者： Li, Yinan Liu, Jun Ozay, Necmiye Department of Automatic Control and System Engineering University of Sheffield SheffieldS1 3JD United Kingdom Department of Applied Mathematics University of Waterloo WaterlooONN2L 3G1 Canada Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109 United States

This paper proposes a method to compute finite abstractions that can be used for synthesizing robust hybrid control strategies for nonlinear systems. Most existing methods for computing finite abstractions utilize some global, analytical function to provide bounds on the reachable sets of nonlinear systems, which can be conservative and lead to spurious transitions in the abstract systems. This problem is even more pronounced in the presence of imperfect measurements and modelling uncertainties, where control synthesis can easily become infeasible due to added spurious transitions. To mitigate this problem, we propose to compute finite abstractions with robustness margins by over-approximating the local reachable sets of nonlinear systems. We do so by linearizing the nonlinear dynamics into linear affine systems and keeping track of the linearization error. It is shown that this approach provides tighter approximations and several numerical examples are used to illustrate of effectiveness of the proposed methods. © 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Nonlinear systems

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Information security threats and an easy-to-implement attack detection framework for wireless sensor network-based smart grid applications

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IOP Conference Series: Materials Science and engineering 2016年第1期108卷

作者： G Tuna H Örenbaş R Daş D Kogias M Baykara K K Department of Computer Programming Trakya University Edime Turkey Department of Software Engineering Firat University Elazig Turkey Department of Electronics Engineering Piraeus University of Applied Sciences Aigaleo Greece Department of Control and Automation Engineering Yildiz Technical University Istanbul Turkey

Wireless Sensor Networks (WSNs) when combined with various energy harvesting solutions managing to prolong the overall lifetime of the system and enhanced capabilities of the communication protocols used by modern sensor nodes are efficiently used in are efficiently used in Smart Grid (SG), an evolutionary system for the modernization of existing power grids. However, wireless communication technology brings various types of security threats. In this study, firstly the use of WSNs for SG applications is presented. Second, the security related issues and challenges as well as the security threats are presented. In addition, proposed security mechanisms for WSN-based SG applications are discussed. Finally, an easy- to-implement and simple attack detection framework to prevent attacks directed to sink and gateway nodes with web interfaces is proposed and its efficiency is proved using a case study.

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Adaptive Genetic Pareto Ranking Based on Clustering

Adaptive Genetic Pareto Ranking Based on Clustering

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IEEE International Conference on Evolving and Adaptive Intelligent Systems

作者： Lavinia Ferariu Corina Cimpanu "Gheorghe Asachi" Technical University of Iasi Department of Automatic Control and Applied Informatics "Gheorghe Asachi" Technical University of Iasi Department of Computer Engineering

ISBN: (纸本)9781467366991

The proposed Pareto ranking scheme is meant for the selection of parents and survivors in multi-objective evolutionary optimizations. Commonly, the Pareto methods use just the dominance analysis in order to provide the partial sorting of solutions, without taking into account the specific strength of the conflict detected between objectives. This can generate undesired effects, such as the loss of diversity or the excessive spread of solutions induced by too weakly or too strongly conflicting criteria, respectively. For counteracting these disadvantages, the suggested approach adapts the ranking policies with respect to the distribution of the population in the objective space. The first innovation of the paper resides in the way in which the layout of the available solutions is examined. The analysis is based on clustering, followed by the Pareto-ranking of the resulted centers. The centers belonging to the best fronts are then used to depict the preferred searching area and to decide if the diversity of the solutions requires improvement. In this regard, the second contribution supports the diversification of the preferred solutions via rank adjustments. The suggested ranking algorithm is experimentally verified on several synthetic multi-objective optimizations and a multi-objective robot path planning. The testing scenarios exemplify different layouts of the Pareto fronts for diverse conflictive relationships between the two objectives.

关键词： Multiobjective optimization Genetic algorithms Ranking Clustering Dominance analysis Cluster Analysis Genetic Algorithm (GA) Solutions layouts specific stiffness fronts Oceanic fronts fronts (meteorology)

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Active fault diagnosis in sampled-data systems 9

Active fault diagnosis in sampled-data systems

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9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015

作者： Niemann, Henrik Poulsen, Niels Kjølstad Department of Electrical Engineering Automation and Control Technical University of Denmark Building 326 Kgs. LyngbyDK-2800 Denmark Dept. of Applied Mathematics and Computer Science Section for Dynamical Systems Technical University of Denmark Kgs. LyngbyDK-2800 Denmark

The focus in this paper is on active fault diagnosis (AFD) in closed-loop sampleddata systems. Applying the same AFD architecture as for continuous-time systems does not directly result in the same set of closed-loop matrix transfer functions. For continuous-time systems, the LFT (linear fractional transformation) structure in the connection between the parametric faults and the matrix transfer function (also known as the fault signature matrix) applied for AFD is not directly preserved for sampled-data system. As a consequence of this, the AFD methods cannot directly be applied for sampled-data systems. Two methods are considered in this paper to handle the fault signature matrix for sampled-data systems such that standard AFD methods can be applied. The first method is based on a discretization of the system such that the LFT structure is preserved resulting in the same LFT structure in the fault signature matrix as obtained for continuous-time systems. The other method is an approximation method, where the same structure is obtained for small parametric faults. © 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Continuous time systems

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PI-controlled ANN-based energy consumption forecasting for Smart Grids

PI-controlled ANN-based energy consumption forecasting for S...

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International Conference on Informatics in control, Automation and Robotics (ICINCO)

作者： Gulsum Gezer Gurkan Tuna Dimitris Kogias Kayhan Gulez V. Cagri Gungor Department of Control and Automation Engineering Yildiz Technical University Istanbul Turkey Department of Computer Programming Trakya University Edirne Turkey Department of Electronics Engineering Piraeus University of Applied Sciences Aigaleo Greece Department of Computer Engineering Abdullah Gul University Kayseri Turkey

Although Smart Grid (SG) transformation brings many advantages to electric utilities, the longstanding challenge for all them is to supply electricity at the lowest cost. In addition, currently, the electric utilities must comply with new expectations for their operations, and address new challenges such as energy efficiency regulations and guidelines, possibility of economic recessions, volatility of fuel prices, new user profiles and demands of regulators. In order to meet all these emerging economic and regulatory realities, the electric utilities operating SGs must be able to determine and meet load, implement new technologies that can effect energy sales and interact with their customers for their purchases of electricity. In this respect, load forecasting which has traditionally been done mostly at city or country level can address such issues vital to the electric utilities. In this paper, an artificial neural network based energy consumption forecasting system is proposed and the efficiency of the proposed system is shown with the results of a set of simulation studies. The proposed system can provide valuable inputs to smart grid applications.

关键词： Artificial neural networks Forecasting Load forecasting Smart grids TV Energy consumption Predictive models

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Bayesian modeling for decentralized UAV control and task allocation

Bayesian modeling for decentralized UAV control and task all...

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AIAA Infotech @ Aerospace 2015

作者： Hening, Sebastian Reguiro, Pedro Teodorescu, Mircea Rodriguez, Abel Nguyen, Nhan Ippolito, Corey Fladeland, Matthew Johnson, Matthew S. University of California Santa Cruz Santa CruzCA95064 United States NASA Ames Research Cente Moffett FieldCA94035 United States Department of Computer Engineering United States Department of Applied Mathematics and Statistics United States Advanced Control and Evolvable Systems Group United States Biospheric Science Branch Earth Science Division United States

ISBN: (数字)9781624103384

ISBN: (纸本)9781624103384

The current research represents a first step towards developing a decentralized network of small autonomous, intelligent and inexpensive unmanned aerial vehicles (UAV), which could be used for a variety of scientific missions where measurements from a distributed network of nodes could signiflcantly improve the assessment. The paper presents an adaptive airborne sensing platform (e.g., UAV) that could be used to fuse the information acquired through multiple sensing modalities (obtained from sensors located close to or inside the phenomena) to monitor environmental processes over space and time. The sensing platform is able to continuously reconflgure its trajectory according to the circumstances (e.g., continuously evolving scientific phenomena) to optimize the location of individual sensing waypoints. As proof of concept and validation, we will apply the proposed sensing approach to monitoring volcanic plumes. The paper focuses on (i) developing a Bayesian statistical method to create sensor fusion algorithms that is used to model the plume and guide the UAV in an optimal way (ii) implementing a distributed task allocation scheme which is able guide all the UAVs efficiently and optimize the UAV paths for various criteria. © 2015, American Institute of Aeronautics and Astronautics Inc. All rights received.

关键词： Unmanned aerial vehicles (UAV)

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Possible way of control of heat output in hotwater piping system of district heating

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International Journal of Circuits, Systems and Signal Processing 2015年 9卷 353-361页

作者： Navratil, Pavel Pekar, Libor Klapka, Jindrich Tomas Bata University Zlin Department of Automation and Control Engineering nam. T.G. Masaryka 5555 Zlin760 01 Czech Republic Brno University of Technology Department of Applied Computer Science Technická 2896/2 Brno616 69 Czech Republic

The paper deals with the description possible method of control of a heat output in district heating systems. This control method is called qualitative-quantitative control method of heat output with utilization of prediction of daily diagram of heat supply in hot-water piping systems of district heating. The control method consists in simultaneous and continuous acting of two variables influencing the transferred heat output and in using the prediction of required heat output in a specific locality. The control method should enable elimination of the influence of transport delay between the heat source and heat consumption of individual relatively concentrated consumers. Transport delay can be in the range up to several hours and depends on the length of feeder piping, which can be up to several kilometers, and on the flow speed of heat transfer medium. © 2015, North Atlantic University Union. All rights reserved.

关键词： District heating

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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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Real-time Middle Wave Infrared Aerial Image Capturing and Stitching System for Vegetation Observation

Real-time Middle Wave Infrared Aerial Image Capturing and St...

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IEEE International Instrumentation and Measurement Technology Conference

作者： Chun-Fu Lin Sheng-Fuu Lin Wen-Jyi Hwang Yung-Hsiang Chen Chi-Hung Hwang Instrument Technology Research Center National Applied Research Laboratories Taiwan Republic of China Institute of Electrical Control Engineering National Chiao Tung University Taiwan Republic of China Department of Computer Science and Information Engineering National Taiwan Normal University Taiwan Republic of China

ISBN: (纸本)9781479961153

Over the last decades, several studies have demonstrated the reflectance effectiveness of middle wave infrared (MWIR) for discriminating among different types of vegetation, and estimating the total and leaf biomass of several forest ecosystems. Therefore, a MWIR aerial image capturing system for vegetation observation is urgently required. Furthermore, stitching those MWIR aerial images together is necessary for a panorama of the region of interest (ROI). Most traditional stitching algorithms for aerial images are designed for visible images, and are not suitable for infrared images that are noisy, blurry, or lack detail. In this paper, a novel real-time MWIR aerial image capturing and stitching system for vegetation observation is proposed. The proposed stitching algorithm for aerial infrared images improved from scale invariant feature transform (SIFT) and random M-least square can find a sufficient number of feature points easily and perform rapid calculations. Therefore, the proposed MWIR aerial image capturing and stitching system for vegetation observation can operate in real time.

关键词： real-time MWIR capturing system stitching

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An artificial vision solution for reusing discarded parts resulted after a manufacturing process

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IOP Conference Series: Materials Science and engineering 2016年第2期145卷

作者： V Cohal A Cohal Tehnical University 'Gh. Asachi' of Iaşi - Romania Faculty of Machine Manufacturing and Industrial Management Department of Machine Manufacturing Technology Blvd. Mangeron No. 59A 700050 Iasi Romania Tehnical University 'Gh. Asachi' of Iaşi - Romania Faculty of Automatic Control and Computer Engineering Department of Automatic Control and Applied Informatics Blvd. Mangeron No. 27 700050 Iasi Romania

The profit of a factory can be improved by reusing the discarded components produced. This paper is based on the case of a manufacturing process where rectangular metallic sheets of different sizes are produced. Using an artificial vision system, the shapes and the sizes of the produced parts can be determined. Those sheets which do not respect the requirements imposed are labeled as discarded. Instead of throwing these parts, a decision algorithm can analyze if another metallic sheet with smaller dimensions can be obtained from these. Two methods of decision are presented in this paper, considering the restriction that the sides of the new sheet has to be parallel with the axis of the coordinate system. The coordinates of each new part obtained from a discarded sheet are computed in order to be delivered to a milling machine. Details about implementing these algorithms (image processing and decision respectively) in the MATLAB environment using Image Processing Toolbox are given.

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