Search results for "LM"

Wind component estimation for UAS flying in turbulent air

2019

One of the most important problem of autonomous flight for UAS is the wind identification, especially for small scale vehicles. This research focusses on an identification methodology based on the Extended Kalman Filter (EKF). In particular authors focus their attention on.the filter tuning problem. The proposed procedure requires low computational power, so it is very useful for UAS. Besides it allows a robust wind component identification even when, as it is usually, the measurement data set is affected by noticeable noises. (C) 2019 Elsevier Masson SAS. All rights reserved.

Opinion dynamics in social networks through mean field games

2016

Emulation, mimicry, and herding behaviors are phenomena that are observed when multiple social groups interact. To study such phenomena, we consider in this paper a large population of homogeneous social networks. Each such network is characterized by a vector state, a vector-valued controlled input, and a vector-valued exogenous disturbance. The controlled input of each network aims to align its state to the mean distribution of other networks' states in spite of the actions of the disturbance. One of the contributions of this paper is a detailed analysis of the resulting mean-field game for the cases of both polytopic and $mathcal L_2$ bounds on controls and disturbances. A second contrib…

Care Workers’ Readiness for Robotization : Identifying Psychological and Socio-Demographic Determinants

2020

Successful implementation of robots in welfare services requires that the staff approves of them as a part of daily work tasks. In this study, we identified psychological and socio-demographic determinants associated with readiness for robotization among professional Finnish care-workers. National survey data were collected from professional care workers (n = 3800) between October and November 2016. Random samples were drawn from the member registers of two Finnish trade unions. The data were analyzed with regression models for respondents with and without firsthand experience with robots. The models explained 34–39% of the variance in the readiness for robotization. The readiness was posit…

Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulations

2020

Reinforcement learning is one of the most promising machine learning techniques to get intelligent behaviors for embodied agents in simulations. The output of the classic Temporal Difference family of Reinforcement Learning algorithms adopts the form of a value function expressed as a numeric table or a function approximator. The learned behavior is then derived using a greedy policy with respect to this value function. Nevertheless, sometimes the learned policy does not meet expectations, and the task of authoring is difficult and unsafe because the modification of one value or parameter in the learned value function has unpredictable consequences in the space of the policies it represents…

Las almadrabas del Reino de Valencia entre finales del siglo XVI e inicios del XVII

2018

El ?Alivio de las Indias?. la Real Hacienda Filipina, 1565-1800

2019

Previo al estudio de la Real Hacienda filipina, el trabajo se centrará en la definición del marco territorial, la función del archipiélago en la estrategia imperial y la gran transformación de finales del siglo xVIII que afectó a su situación en el conjunto colonial. En segundo lugar, se expondrá el estado de la cuestión y las principales hipótesis sobre la evolución del Tesoro filipino y los problemas que planteaba su viabilidad, así como las fuentes y la metodología empleadas. A continuación se examinarán las grandes tendencias de la Hacienda en el largo plazo y los componentes del ingreso y el gasto, para finalizar con algunas conclusiones, en especial la respuesta a la siguiente pregunt…

Las huellas de la interdisciplinariedad en la trayectoria de Enric Mestre. ?Intercambios e investigaciones cruzadas entre las esculturas cerámicas y …

2020

La destacada actividad artística de Enric Mestre (Alboraya / Valencia, 1936) solo pude abordarse, en su compleja diversidad y riqueza, si se mantiene, como eje metodológico básico de su estudio crítico, el abierto enfoque de su sistemática interdisciplinariedad. Los diálogos e intercambios entre la escultura cerámica, la arquitectura, la pintura, el dibujo y los murales conforman precisamente el ámbito plural de su constante quehacer artístico. Especialmente la investigación se centra en las esculturas cerámicas y en las pinturas geométricas, que constituyen los dos dilatados campos de su creación plástica, cultivados asiduamente, a lo largo del último medio siglo

Comparing interactive evolutionary multiobjective optimization methods with an artificial decision maker

2021

AbstractSolving multiobjective optimization problems with interactive methods enables a decision maker with domain expertise to direct the search for the most preferred trade-offs with preference information and learn about the problem. There are different interactive methods, and it is important to compare them and find the best-suited one for solving the problem in question. Comparisons with real decision makers are expensive, and artificial decision makers (ADMs) have been proposed to simulate humans in basic testing before involving real decision makers. Existing ADMs only consider one type of preference information. In this paper, we propose ADM-II, which is tailored to assess several …

DESDEO : An Open Framework for Interactive Multiobjective Optimization

2018

We introduce a framework for interactive multiobjective optimization methods called DESDEO released under an open source license. With the framework, we want to make interactive methods easily accessible to be applied in solving real-world problems. The framework follows an object-oriented software design paradigm, where functionalities have been divided to modular, self-contained components. The framework contains implementations of some interactive methods, but also components which can be utilized to implement more interactive methods and, thus, increase the applicability of the framework. To demonstrate how the framework can be used, we consider an example problem where the pollution of…

From Neo-Functional Peace to a Logic of Spillover in EU External Policy: A Response to Visoka and Doyle

2017

In their recently published JCMS article, Gezim Visoka and John Doyle have proposed the concept of ‘neofunctional peace’ as a means to conceptualize the EU's peacemaking practices in the case of the EU-facilitated Belgrade-Pristina dialogue. This article challenges the ‘neo-functional peace’ on conceptual and empirical grounds. We critically discuss Visoka and Doyle's (2016) reading of neofunctionalism and question parts of their empirical evidence given for the existence of a ‘neo-functional peace’. Going beyond a mere critique of the article by Visoka and Doyle and arguing that the authors may not have fully exploited neofunctionalism's potential for theorizing EU external policy, we stip…