155 research outputs found

    Can Competition Outperform Collaboration? The Role of Misbehaving Agents

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    We investigate a novel approach to resilient distributed optimization with quadratic costs in a multi-agent system prone to unexpected events that make some agents misbehave. In contrast to commonly adopted filtering strategies, we draw inspiration from phenomena modeled through the Friedkin-Johnsen dynamics and argue that adding competition to the mix can improve resilience in the presence of misbehaving agents. Our intuition is corroborated by analytical and numerical results showing that (i) there exists a nontrivial trade-off between full collaboration and full competition and (ii) our competition-based approach can outperform state-of-the-art algorithms based on Weighted Mean Subsequence Reduced. We also study impact of communication topology and connectivity on resilience, pointing out insights to robust network design.Comment: Submitted to IEEE TAC - first revisio

    Optimal control with unreliable communication: the tcp case

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    Abstract — The paper considers the Linear Quadratic Gaussian (LQG) optimal control problem in the discrete time setting and when data loss may occur between the sensors and the estimation-control unit and between the latter and the actuation points. We consider the case where the arrival of the control packet is acknowledged at the receiving actuator, as it happens with the common Transfer Control Protocol (TCP). We start by showing that the separation principle holds. Additionally, we can prove that the optimal LQG control is a linear function of the state. Finally, building upon our previous results on estimation with unreliable communication, the paper shows the existence of critical arrival probabilities below which the optimal controller fails to stabilize the system. This is done by providing analytic upper and and lower bounds on the cost functional. I

    biomimetic sensor suite for flight control of a micromechanical flying insect: design and experimental results, in

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    Four types of biomimetic sensors have been designed and simulated for flight control of a robotic flying insect. The ocelli use four photodiodes to detect changes in light intensity in the surrounding. The halteres use piezo-actuated vibrating structures to sense the Coriolis forces to detect angular velocities. The optic flow sensors consist of linear arrays of elementary motion detectors to register optic flows. The MEMS compass uses three metal loops to detect changes in the magnetic field. Despite simplicity and novelty, the preliminary tests on these devices showed promising performances for using such biomimetic sensors on a robotic flying insect.

    The application of the Boolean Stochastic Generation Method to model seepage under levees in heterogeneous soils

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    Soil heterogeneity plays an important role in incrementing the uncertainty about the reliability of geotechnical engineering works, especially levees. The presence of thin layers of soils more permeable than the surrounding matrix significantly changes the seepage flow net below and within the dike. However, the detection of these layers is extremely difficult. Consequently, to evaluate the overall safety of dikes it may be useful to adopt stochastic computation methods. The paper presents the calibration of a seepage model of an operational river embankment subject to sand boils. The levee, located along the Adige River (South Tyrol, Italy), has been monitored since 2016. Piezometers and spot temperature sensors are installed in the lateral banks while a distributed fiber optic sensors (FOS), buried in a 350 m long trench at the toe of the levee, is used to check temperature distribution in the subground. The Boolean Stochastic Generation (BoSG) method addresses the influence of layers of material with different properties with respect of the surrounding soil. 360 soil configurations were generated for a two-dimensional groundwater flow model of the levee and confronted with the monitoring data of two piezometers. This analysis permits to identify the configuration that has effects more congruent with piezometers data, which in this case is a configuration with a major presence of lenses on the waterside respect the field-side. This evidence could guide strategies for remedial works

    On distributed strains in a CFA pile via DFOSs measurements and numerical analysis

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    Fibre Optic Sensors (FOSs) offer unprecedented possibilities for the monitoring of engineering structures, such as foundation systems. Notably, the type of FOSs known as Distributed Fibre Optic Sensors (DFOSs) has the capability of monitoring variations in the observed physical field, such as strain and temperature, with spatial continuity along the fibre. This paper presents and discusses the distributed strain measurements collected along a continuous flight auger (CFA) pile, belonging to the foundation raft of a new bridge subjected to an acceptance static load test. The monitoring was performed using a DFOS system, which works according to the optical frequency domain reflectometry (OFDR) method and provides a spatial resolution of 10 mm and a strain resolution of 1 \u3bc\u3b5. The in-situ monitoring results were used to calibrate a 3D Finite Element Model of the foundation system. The soil properties for the numerical model were also selected on the basis of a load test previously carried out on a similar pile at the same sit

    Vulnerability analysis of satellite-based synchronized smart grids monitoring systems

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    The large-scale deployment of wide-area monitoring systems could play a strategic role in supporting the evolution of traditional power systems toward smarter and self-healing grids. The correct operation of these synchronized monitoring systems requires a common and accurate timing reference usually provided by a satellite-based global positioning system. Although these satellites signals provide timing accuracy that easily exceeds the needs of the power industry, they are extremely vulnerable to radio frequency interference. Consequently, a comprehensive analysis aimed at identifying their potential vulnerabilities is of paramount importance for correct and safe wide-area monitoring system operation. Armed with such a vision, this article presents and discusses the results of an experimental analysis aimed at characterizing the vulnerability of global positioning system based wide-area monitoring systems to external interferences. The article outlines the potential strategies that could be adopted to protect global positioning system receivers from external cyber-attacks and proposes decentralized defense strategies based on self-organizing sensor networks aimed at assuring correct time synchronization in the presence of external attacks

    Manual de competição de solos.

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    Este manual busca apresentar informações sobre as competições de solos para o público brasileiro, os procedimentos e regras usualmente empregadas, contribuindo para a sua divulgação e implementação.1. ed
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