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15th IFIP/IEEE International Symposium on Integrated Network and Service Management, IM 2017

作者： Skourletopoulos, Georgios Mavromoustakis, Constandinos X. Mastorakis, George Sahalos, John N. Batalla, Jordi Mongay Dobre, Ciprian Department of Computer Science University of Nicosia Nicosia Cyprus Department of Informatics Engineering Technological Educational Institute of Crete Heraklion Crete Greece Department of Physics Aristotle University of Thessaloniki Thessaloniki Greece National Institute of Telecommunications and Warsaw University of Technology Szachowa Str. 1 and Nowowiejska Str. 15/19 Warsaw Poland Department of Computer Science and Engineering Faculty of Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania

ISBN: (纸本)9783901882890

The advances in Internet of Everything (IoE) and the market-oriented cloud computing have provided opportunities to resolve the challenges caused by the Internet of Things (IoT) infrastructure virtualization, capacity planning, data storage or complexity. The volume and types of IoT data motivate the need for a data storage framework towards the integration of both structured and unstructured data. In this paper, we propose a novel game theoretic technique for efficient and dynamic storage allocation in cloud-centric IoT systems. The benefit maximization problem is formulated as a cost-benefit analysis game investigating the storage capacity currently used in the cloud. In view of each player's strategy to lease additional storage capacity, the game property is analyzed and we prove that the game always admits a pure strategy Nash equilibrium. Since the player's decision affects the level of benefit maximization, we elaborate on a cost-optimal storage allocation incentive mechanism, which scales effectively once non-linear or linear demand for storage capacity occurs, towards achieving optimal leasing conditions on cloud storage and computing capacity level. The experimental validation tests prove the effectiveness of the proposed game theoretic approach allocating the requests for more storage capacity in a cost-effective manner, which achieves to maximize the benefits. © 2017 IFIP.

关键词： Distributed cloud

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Performance tradeoffs of dynamically controlled grid-connected inverters in low inertia power systems

arXiv

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arXiv 2017年

作者： Jiang, Yan Pates, Richard Mallada, Enrique Department of Electrical and Computer Engineering Johns Hopkins University BaltimoreMD21218 United States Department of Automatic Control at Lund University Lund Sweden

Implementing frequency response using grid-connected inverters is one of the popular proposed alternatives to mitigate the dynamic degradation experienced in low inertia power systems. However, such solution faces several challenges as inverters do not intrinsically possess the natural response to power fluctuations that synchronous generators have. Thus, to synthetically generate this response, inverters need to take frequency measurements, which are usually noisy, and subsequently make changes in the output power, which are therefore delayed. This paper explores the system-wide performance tradeoffs that arise when measurement noise, power disturbances, and delayed actions are considered in the design of dynamic controllers for grid-connected inverters. Using a recently proposed dynamic droop (iDroop) control for grid-connected inverters, which is inspired by classical first order lead-lag compensation, we show that the sets of parameters that result in highest noise attenuation, power disturbance mitigation, and delay robustness do not necessarily have a common intersection. In particular, lead compensation is desired in systems where power disturbances are the predominant source of degradation, while lag compensation is a better alternative when the system is dominated by delays or frequency noise. Our analysis further shows that iDroop can outperform the standard droop alternative in both joint noise and disturbance mitigation, and delay robustness. Copyright © 2017, The Authors. All rights reserved.

关键词： Frequency response

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The Importance of System-Level Information in Multiagent Systems Design: Cardinality and Covering Problems

arXiv

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arXiv 2017年

作者： Paccagnan, Dario Marden, Jason R. Department of Electrical and Computer Engineering University of California Santa Barbara United States Automatic Control Laboratory Swiss Federal Institute of Technology Zurich

A fundamental challenge in multiagent systems is to design local control algorithms to ensure a desirable collective behaviour. The information available to the agents, gathered either through communication or sensing, naturally restricts the achievable performance. Hence, it is fundamental to identify what piece of information is valuable and can be exploited to design control laws with enhanced performance guarantees. This paper studies the case when such information is uncertain or inaccessible for a class of submodular resource allocation problems termed covering problems. In the first part of this work we pinpoint a fundamental risk-reward tradeoff faced by the system operator when conditioning the control design on a valuable but uncertain piece of information, which we refer to as the cardinality, that represents the maximum number of agents that can simultaneously select any given resource. Building on this analysis, we propose a distributed algorithm that allows agents to learn the cardinality while adjusting their behaviour over time. This algorithm is proved to perform on par or better to the optimal design obtained when the exact cardinality is known a priori. Copyright © 2017, The Authors. All rights reserved.

关键词： Multi agent systems

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Construction of the electromagnetic mill with the grinding system, classification of crushed minerals and the control system

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IFAC-PapersOnLine 2016年第20期49卷 67-71页

作者： Wolosiewicz-Glb, Marta Ogonowski, Szymon Foszcz, Dariusz AGH University of Science and Technology in Cracow Faculty of Mining and Geoengineering Department of Environmental Engineering and Mineral Processing United States Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Institute of Automatic Control Poland

The article presents the construction of an innovative electromagnetic mill, which in comparison to traditional solutions provide a significant reduction of energy consumption and higher technological performance. The device is equipped with a control system, measuring grinding quality or analyzing the operating status of the mill. Direct control of the grinding process is implemented in industrial controllers (PLC) and is supported by the optimization algorithms that run in the supervisory control system (SCADA). © 2016

关键词： Quality control

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Computing monotone policies for Markov decision processes: A nearly-isotonic penalty approach

arXiv

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arXiv 2017年

作者： Mattila, Robert Rojas, Cristian R. Krishnamurthy, Vikram Wahlberg, Bo Department of Automatic Control School of Electrical Engineering KTH Royal Institute of Technology Stockholm Sweden Department of Electrical and Computer Engineering Cornell University Cornell TechNY United States

This paper discusses algorithms for solving Markov decision processes (MDPs) that have monotone optimal *** propose a two-stage alternating convex optimization scheme that can accelerate the search for an optimal policy by exploiting the monotone property. The first stage is a linear program formulated in terms of the joint state-action probabilities. The second stage is a regularized problem formulated in terms of the conditional probabilities of actions given states. The regularization uses techniques from nearly-isotonic regression. While a variety of iterative method can be used in the first formulation of the problem, we show in numerical simulations that, in particular, the alternating method of multipliers (ADMM) can be significantly accelerated using the regularization step. Copyright © 2017, The Authors. All rights reserved.

关键词： Markov processes

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Asymptotically efficient identification of known-sensor hidden Markov models

arXiv

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arXiv 2017年

作者： Mattila, Robert Rojas, Cristian R. Krishnamurthy, Vikram Wahlberg, Bo Department of Automatic Control and ACCESS School of Electrical Engineering KTH Royal Institute of Technology Stockholm Sweden Department of Electrical and Computer Engineering Cornell University Cornell TechNY United States

We consider estimating the transition probability matrix of a finite-state finite-observation alphabet hidden Markov model with known observation probabilities. The main contribution is a two-step algorithm;a method of moments estimator (formulated as a convex optimization problem) followed by a single iteration of a Newton-Raphson maximum likelihood estimator. The two-fold contribution of this letter is, firstly, to theoretically show that the proposed estimator is consistent and asymptotically efficient, and secondly, to numerically show that the method is computationally less demanding than conventional methods - in particular for large data sets. Copyright © 2017, The Authors. All rights reserved.

关键词： Hidden Markov models

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Ananalysis of the SPARSEVA estimate for the finite sample data case

arXiv

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arXiv 2017年

作者： Ha, Huong Welsh, James S. Rojas, Cristian R. Wahlberg, Bo School of Electrical Engineering and Computer Science University of Newcastle Australia Department of Automatic Control and ACCESS School of Electrical Engineering KTH Royal Institute of Technology StockholmSE-10044

In this paper, we develop an upper bound for the SPARSEVA (SPARSe Estimation based on a VAlidation criterion) estimation error in a general scheme, i.e., when the cost function is strongly convex and the regularized norm is decomposable for a pair of subspaces. We show how this general bound can be applied to a sparse regression problem to obtain an upper bound for the traditional SPARSEVA problem. Numerical results are used to illustrate the effectiveness of the suggested bound. Copyright © 2017, The Authors. All rights reserved.

关键词： Sampling

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Witness-functions versus interpretation-functions for secrecy in cryptographic protocols: What to choose?

arXiv

引用

arXiv 2017年

作者： Fattahi, Jaouhar Mejri, Mohamed Ziadia, Marwa Omrani, Takwa Pricop, Emil Department of Computer Science and Software Engineering Université Laval Québec Canada Computer Science and Software Engineering Department MACS Research Centre University of Gabès Tunisia Automatic Control Computers and Electronics Department Petroleum-Gas University of Ploiesti Romania

Proving that a cryptographic protocol is correct for secrecy is a hard task. One of the strongest strategies to reach this goal is to show that it is increasing, which means that the security level of every single atomic message exchanged in the protocol, safely evaluated, never deceases. Recently, two families of functions have been proposed to measure the security level of atomic messages. The first one is the family of interpretation-functions. The second is the family of witness-functions. In this paper, we show that the witness-functions are more efficient than interpretation-functions. We give a detailed analysis of an ad-hoc protocol on which the witness-functions succeed in proving its correctness for secrecy while the interpretation-functions fail to do so. Copyright © 2017, The Authors. All rights reserved.

关键词： Cryptography

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Hierarchical decomposition of LTL synthesis problem for nonlinear control systems

arXiv

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arXiv 2017年

作者： Meyer, Pierre-Jean Dimarogonas, Dimos V. Department of Electrical Engineering and Computer Sciences University of California BerkeleyCA94720-1770 United States Department of Automatic Control at KTH Royal Institute of Technology Stockholm10044 Sweden

—This paper deals with the control synthesis problem for a continuous nonlinear dynamical system under a Linear Temporal Logic (LTL) formula. The proposed solution is a top-down hierarchical decomposition of the control problem involving three abstraction layers of the problem, iteratively solved from the coarsest to the finest. The LTL planning is first solved on a small transition system only describing the regions of interest involved in the LTL formula. For each pair of consecutive regions of interest in the resulting accepting path satisfying the LTL formula, a discrete plan is then constructed in the partitioned workspace to connect these two regions while avoiding unsafe regions. Finally, an abstraction refinement approach is applied to synthesize a controller for the dynamical system to follow each discrete plan. The second main contribution, used in the third abstraction layer, is a new monotonicity-based method to over-approximate the finite-time reachable set of any continuously differentiable system. The proposed framework is demonstrated in simulation for a motion planning problem of a mobile robot modeled as a disturbed unicycle. Copyright © 2017, The Authors. All rights reserved.

关键词： Abstracting

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Large Scale Rollout of Smart Grid Services

Large Scale Rollout of Smart Grid Services

引用

Global Internet of Things Summit (GIoTS)

作者： Florian Kintzler Tobias Gawron-Deutsch Stephan Cejka Judith Schulte Mathias Uslar Eric MSP Veith Ewa Piatkowska Paul Smith Friederich Kupzog Henrik Sandberg Michelle S. Chong David Umsonst Marco Mittelsdorf Corporate Technology Siemens AG Austria Vienna Austria R&D Division Energy OFFIS e.V. - Institut fur Informatik Oldenburg Germany Center for Digital Safety Security AIT Austrian Institute of Technology Vienna Austria School of Electrical Engineering and Computer Science Department of Automatic Control KTH Royal Institute of Technology Stockholm Sweden Fraunhofer Institute for Solar Energy Systems Freiburg Germany

In the domain of energy automation, where a massive number of software-based IoT services interact with a complex dynamic system, processes for software installation and software update become more important and more complex. These processes have to ensure that the dependencies on all layers are fulfilled, including dependencies arising due to the energy system controlled by IT components being a hidden communication channel between these components. In addition, the processes have to be resilient against faults in and attacks to both the energy grid and the communication network. The ERA-Net funded project LarGo! aims at developing and testing processes for the large scale rollout of software applications in the power grid domain as well as the user domain. This article describes a work in progress and the project's roadmap to solve the technical issues. It investigates the problems that arise from the interlocking of the two networks- the power grid and the communication network. Based on this analysis a first set of requirements for a rollout process in such a Smart Grid is derived and the chosen approach to verify the resilience of the developed processes under research is described.

关键词： Smart grids Substations Software Resilience Maintenance engineering Internet of Things

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