Software X10-UPNP Bridge

IADIS MULTI CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS 2008 Amsterdam, The Netherlands JULY 22 - 24, 2008In a future of smart houses where multiple heterogeneous devices will be interconnected to provide new functionalities and to ease everyday tasks, several issues will challenge the research, including interoperability and interfaces between different systems. The work presented in this paper describes a software bridge that exposes X10 devices as UPnP devices to UPnP control points, banking on the networks integration and alternatives to create mixed installations that are optimized for ease, reliability and functionality

Distributed model predictive control based on game theory

Desde hace miles de años el hombre ha soñado con aparatos que funcionen solos. Homero, por ejemplo, hace referencia en la Ilıada a unos trípodes fabricados por Hefesto con ruedas de oro en los pies “para que del propio impulso pudieran entrar donde los dioses se congregaban y volver a la casa”, acción ´esta que el propio texto calificaba como “¡Cosa admirable!” y que refleja la emoción que la propia idea suscita. Precisamente, este es el objeto de la teoría de control automático, que es la rama de la ingeniería que comprende aquellos conocimientos técnicos necesarios para hacer que las cosas funcionen por sí mismas. En general, el primer problema que el ingeniero de control debe resolver es el de obtener un modelo matemático que sintetice el conocimiento previo que se tiene sobre el comportamiento del sistema u objeto que se pretende controlar. Dicho modelo proporciona información de tipo causa-efecto y permite calcular qué acciones de control deben llevarse a cabo para que el sistema se comporte de la manera deseada. El propio ser humano se basa en estos mismos principios cuando controla, es decir, cuando ejerce acciones sobre un objeto encaminadas a obtener un cierto resultado. Por ejemplo, imaginemos a una persona al volante de un vehículo. Es evidente que el conductor decide qu´e acciones ha de realizar (girar el volante, acelerar, frenar...) a partir de la información disponible sobre el estado del coche (posición en la carretera, velocidad,...) y del modelo mental que tiene sobre el comportamiento del coche.Premio Extraordinario de Doctorado U

Smart home interoperability: the DomoEsi project approach

The home automation market is characterized by the great number of systems available to the end user. The recent bubble in the building industry made the situation even worse due to the birth of new proprietary systems. The success of the digital home concept depends on the ease of integration between home automation systems and other consumer electronic equipment pre-existing in the home. In this paper the interoperability issue is addressed and the approach followed in the project DomoEsi is presented

Academical and Research Wiimote Applications

IADIS MULTI CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS 2008 Amsterdam, The Netherlands JULY 22 - 24, 2008This paper proposes the employment of the Wii Remote controller, better known as Wiimote, as an useful tool for educators and researchers. The quick development on fields such as Wireless Sensors and Actuators Networks or Hybrid Systems, and their applications, requires engineers with a solid knowledge in these areas. To achieve this goal the Wiimote becomes a great alternative to other options due to its great variety of analog and digital components, for a very low price, and the good documentation about it existing in Internet. As will be seen in this paper, the possible academical and research uses of the Wiimote are almost endless and cover many interesting problems in control engineering

Application of Robust Model Predictive Control to a Renewable Hydrogen-based Microgrid

In order to cope with uncertainties present in the renewable energy generation, as well as in the demand consumer, we propose in this paper the formulation and comparison of three robust model predictive control techniques, i. i. e., multi-scenario, tree-based, and chance-constrained model predictive control, which are applied to a nonlinear plant-replacement model that corresponds to a real laboratory-scale plant located in the facilities of the University of Seville. Results show the effectiveness of these three techniques considering the stochastic nature, proper of these systems

Non-centralized Control for Flow-based Distribution Networks: A Game-theoretical Insight

This paper solves a data-driven control problem for a flow-based distribution network with two objectives: a resource allocation and a fair distribution of costs. These objectives represent both cooperation and competition directions. It is proposed a solution that combines either a centralized or distributed cooperative game approach using the Shapley value to determine a proper partitioning of the system and a fair communication cost distribution. On the other hand, a decentralized noncooperative game approach computing the Nash equilibrium is used to achieve the control objective of the resource allocation under a non-complete information topology. Furthermore, an invariant-set property is presented and the closed-loop system stability is analyzed for the non cooperative game approach. Another contribution regarding the cooperative game approach is an alternative way to compute the Shapley value for the proposed specific characteristic function. Unlike the classical cooperative-games approach, which has a limited application due to the combinatorial explosion issues, the alternative method allows calculating the Shapley value in polynomial time and hence can be applied to large-scale problems.Generalitat de Catalunya FI 2014Ministerio de Ciencia y Educación DPI2016-76493-C3-3-RMinisterio de Ciencia y Educación DPI2008-05818Proyecto europeo FP7-ICT DYMASO

A resilient approach for distributed MPC-based economic dispatch in interconnected microgrids

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Economic dispatch of interconnected microgrids that is based on distributed model predictive control (DMPC) requires the cooperation of all agents (microgrids). This paper discusses the case in which some of the agents might not comply with the decisions computed by performing a DMPC algorithm. In this regard, these agents could obtain a better performance at the cost of degrading the performance of the network as a whole. A resilient distributed method that can deal with such issues is proposed and studied in this paper. The method consists of two parts. The first part is to ensure that the decisions obtained from the algorithm are robustly feasible against most of the attacks with high confidence. In this part, we employ a two-step randomization-based approach to obtain a feasible solution with a predefined level of confidence. The second part consists in the identification and mitigation of the adversarial agents, which utilizes hypothesis testing with Bayesian inference and requires each agent to solve a mixed-integer problem to decide the connections with its neighbors. In addition, an analysis of the decisions computed using the stochastic approach and the outcome of the identification and mitigation method is provided. The performance of the proposed approach is also shown through numerical simulations.Peer ReviewedPostprint (author's final draft

A 3D time domain numerical model based on half-space Green's function for soil-structure interaction analysis

En: Computational Mechanics Volume 64, Issue 1, 15 July 2019, Page 273 - Correction to: A 3D time domain numerical model based on half-space Green’s function for soil–structure interaction analysis (Computational Mechanics, (2014), 53, 5, (1073-1085),This paper presents a numerical method based on a three dimensional boundary element-finite element (BEM- FEM) coupled formulation in the time domain. The proposed model allows studying soil-structure interaction problems. The soil is modelled with the BEM, where the radiation condition is implicitly satisfied in the fundamental solution. Half-space Green's function including internal soil damping is considered as the fundamental solution. An effective treatment based on the integration into a complex Jordan path is proposed to avoid the singularities at the arrival time of the Rayleigh waves. The efficiency of the BEM is improved taking into account the spatial symmetry and the invariance of the fundamental solution when it is expressed in a dimensionless form. The FEM is used to represent the structure. The proposed method is validated by comparison with analytical solutions and numerical results presented in the literature. Finally, a soil-structure interaction problem concerning with a building subjected to different incident wave fields is studiedMinisterio de Economía y Competitividad BIA2010-1484

Node aggregation for enhancing PageRank

In this paper, we study the problem of node aggregation under different perspectives for increasing PageRank of some nodes of interest. PageRank is one of the parameters used by the search engine Google to determine the relevance of a web page. We focus our attention to the problem of nding the best nodes in the network from an aggregation viewpoint, i.e., what are the best nodes to merge with for the given nodes. This problem is studied from global and local perspectives. Approximations are proposed to reduce the computation burden and to overcome the limitations resulting from the lack of centralized information. Several examples are presented to illustrate the different approaches that we proposeFP7-ICT Project DYMASOS under Grant 611281Ministerio de Economía y Competitividad COOPERA Project Grant DPI2013-46912-C2-1-RMinisterio de Educación José Castillejo Grant (CAS14/00277)Grant-in-Aid for Scientific Research Grant 15H04020 and Fellowship PE1604

Actuation attacks on constrained linear systems: A set-theoretic analysis

Cuenta con un 2º editor: Incluido en el Volumen 53, Issue 2 Article number 145388This paper considers a constrained discrete-time linear system subject to actuation attacks. The attacks are modelled as false data injections to the system, such that the total input (control input plus injection) satisfies hard input constraints. We establish a sufficient condition under which it is not possible to maintain the states of the system within a compact state constraint set for all possible realizations of the actuation attack. The developed condition is a simple function of the spectral radius of the system, the relative sizes of the input and state constraint sets, and the proportion of the input constraint set allowed to the attacker.Ministerio de Economía y Competitividad (España) DPI2017-86918-RJapan Society for the Promotion of Science PE1604