Experiences on using closed-loop control systems for smoke control

The main objective of ventilation systems in case of fire is the reduction of the possible consequences by achieving the best possible conditions for the evacuation of the users and the intervention of the emergency services. In the last years, the required quick response of the ventilation system, from normal to emergency mode, has been improved by the use of automatic and semi-automatic control systems, what reduces the response times through the support to the operators decision taking, and the use of pre-defined strategies. A further step consists on the use of closedloop algorithms, which takes into account not only the initial conditions but their development (air velocity, traffic situation, etc), optimizing the quality of the smoke control process

Autonomous vehicle control systems for safe crossroads

This article presents a cooperative manoeuvre among three dual mode cars – vehicles equipped with sensors and actuators, and that can be driven either manually or autonomously. One vehicle is driven autonomously and the other two are driven manually. The main objective is to test two decision algorithms for priority conflict resolution at intersections so that a vehicle autonomously driven can take their own decision about crossing an intersection mingling with manually driven cars without the need for infrastructure modifications. To do this, the system needs the position, speeds, and turning intentions of the rest of the cars involved in the manoeuvre. This information is acquired via communications, but other methods are also viable, such as artificial vision. The idea of the experiments was to adjust the speed of the manually driven vehicles to force a situation where all three vehicles arrive at an intersection at the same time.

Balanced scorecard to improve strategic management control at School of Mines and Energy, Universidad Politécnica de Madrid

We studied the situation in Spanish public universities regarding the use of the Balanced Scorecard (BSC), as an instrument of control and strategic management. Also, we studied its application to the School of Mines and Energy at Universidad Politécnica de Madrid. The main advantage of the BSC is that improves the organizational structure of the workplace and the achievement of the objectives that ensure long-term success. First we review the strategy for success used in the Spanish educational system and specifically in the Spanish public universities. Then using the BSC and applying the main strategic lines for the successful management of the School of Mines and Energy at Universidad Politécnica de Madrid. The strategic lines affect all the college groups and the success of the BSC tool is to increase communication between the faculties, personal auxiliary, students and society in general that make up the university. First we performed a SWOT analysis (DAFO in Spanish) there are proposed different perspectives that focus the long-term strategic objectives. The BSC is designed based on the strategic objectives that set the direction through using indicators and initiatives, the goals are achieved up to the programmed schedule. In the perspective of teaching, objectives are set to update facilities and increase partnerships with other universities and businesses, encouraging ongoing training of staff and improved coordination and internal communication. The internal process perspective aims at improving the marketing, the promotion of the international dimension of the school through strategic alliances, better mobility for students and professors and improved teaching and research quality results. It continues with improving the image of the school between customer?s perspective, the quality perceived by students and the loyalty of the teaching staff by retaining talent. Finally, the financial perspective which should contain costs without harming the quality, improving the employability of students and achieve relevant jobs at teaching and research through international measurement standards.

Evaluation of three solar and daylighting control systems based on Calumen II, Ecotect and Radiance simulation programs to obtain an energy efficient and healthy interior in the experimental building prototype SDE10

Evaluation of three solar and daylighting control systems based on Calumen II, Ecotect and Radiance simulation programs to obtain an energy efficient and healthy interior in the experimental building prototype SDE10

Self-adaptive strategy based on fuzzy control systems for improving performance in wireless sensors networks

The solutions to cope with new challenges that societies have to face nowadays involve providing smarter daily systems. To achieve this, technology has to evolve and leverage physical systems automatic interactions, with less human intervention. Technological paradigms like Internet of Things (IoT) and Cyber-Physical Systems (CPS) are providing reference models, architectures, approaches and tools that are to support cross-domain solutions. Thus, CPS based solutions will be applied in different application domains like e-Health, Smart Grid, Smart Transportation and so on, to assure the expected response from a complex system that relies on the smooth interaction and cooperation of diverse networked physical systems. The Wireless Sensors Networks (WSN) are a well-known wireless technology that are part of large CPS. The WSN aims at monitoring a physical system, object, (e.g., the environmental condition of a cargo container), and relaying data to the targeted processing element. The WSN communication reliability, as well as a restrained energy consumption, are expected features in a WSN. This paper shows the results obtained in a real WSN deployment, based on SunSPOT nodes, which carries out a fuzzy based control strategy to improve energy consumption while keeping communication reliability and computational resources usage among boundaries.

Knowledge-based models for adaptive traffic management systems

This paper describes a general approach for real time traffic management support using knowledge based models. Recognizing that human intervention is usually required to apply the current automatic traffic control systems, it is argued that there is a need for an additional intelligent layer to help operators to understand traffic problems and to make the best choice of strategic control actions that modify the assumption framework of the existing systems.

Pressure management in water distribution systems: current status, proposals, and future trends

Pressure management (PM) is commonly used in water distribution systems (WDSs). In the last decade, a strategic objective in the field has been the development of new scientific and technical methods for its implementation. However, due to a lack of systematic analysis of the results obtained in practical cases, progress has not always been reflected in practical actions. To address this problem, this paper provides a comprehensive analysis of the most innovative issues related to PM. The methodology proposed is based on a case-study comparison of qualitative concepts that involves published work from 140 sources. The results include a qualitative analysis covering four aspects: (1) the objectives yielded by PM; (2) types of regulation, including advanced control systems through electronic controllers; (3) new methods for designing districts; and (4) development of optimization models associated with PM. The evolution of the aforementioned four aspects is examined and discussed. Conclusions regarding the current status of each factor are drawn and proposals for future research outlined

Gi2MO: Interoperability, Linking and Filtering in Idea Management Systems

This thesis proposes how to apply the Semantic Web tech- nologies for the Idea Management Systems to deliver a solution to knowl- edge management and information over ow problems. Firstly, the aim is to present a model that introduces rich metadata annotations and their usage in the domain of Idea Management Systems. Furthermore, the the- sis shall investigate how to link innovation data with information from other systems and use it to categorize and lter out the most valuable elements. In addition, the thesis presents a Generic Idea and Innovation Management Ontology (Gi2MO) and aims to back its creation with a set of case studies followed by evaluations that prove how Semantic Web can work as tool to create new opportunities and leverage the contemporary Idea Management legacy systems into the next level.

Analysis of the geometric altimetry to support aircraft optimal profiles within future 4D trajectory management

The use of barometric altimetry is to some extent a limiting factor on safety, predictability and efficiency of aircraft operations, and reduces the potential of the trajectory based operations capabilities. However, geometric altimetry could be used to improve all of these aspects. Nowadays aircraft altitude is estimated by applying the International Standard Atmosphere which differs from real altitude. At different temperatures for an assigned barometric altitude, aerodynamic forces are different and this has a direct relationship with time, fuel consumption and range of the flight. The study explores the feasibility of using sensors providing geometric reference altitude, in particular, to supply capabilities for the optimization of vertical profiles and also, their impact on the vertical Air Traffic Management separation assurance processes. One of the aims of the thesis is to assess if geometric altitude fulfils the aeronautical requirements through existing sensors. Also the thesis will elaborate on the advantages of geometric altitude over the barometric altitude in terms of efficiency for vertical navigation. The evidence that geometric altitude is the best choice to improve the efficiency in vertical profile and aircraft capacity by reducing vertical uncertainties will also be shown. In this paper, an atmospheric study is presented, as well as the impact of temperature deviation from International Standard Atmosphere model is analyzed in order to obtain relationship between geometric and barometric altitude. Furthermore, an aircraft model to study aircraft vertical profile is provided to analyse trajectories based on geometric altitudes.

Open multi-technology building energy management system

Energy Efficiency is one of the goals of the Smart Building initiatives. This paper presents an Open Energy Management System which consists of an ontology-based multi-technology platform and a wireless transducer network using 6LoWPAN communication technology. The system allows the integration of several building automation protocols and eases the development of different kind of services to make use of them. The system has been implemented and tested in the Energy Efficiency Research Facility at CeDInt-UPM.

Large-Scale smart grids as system of systems

Smart Grids are advanced power networks that introduce intelligent management, control, and operation systems to address the new challenges generated by the growing energy demand and the appearance of renewal energies. In the literature, Smart Grids are presented as an exemplar SoS: systems composed of large heterogeneous and independent systems that leverage emergent behavior from their interaction. Smart Grids are currently scaling up the electricity service to millions of customers. These Smart Grids are known as Large-Scale Smart Grids. From the experience in several projects about Large-Scale Smart Grids, this paper defines Large-Scale Smart Grids as a SoS that integrate a set of SoS and conceptualizes the properties of this SoS. In addition, the paper defines the architectural framework for deploying the software architectures of Large-Scale Smart Grid SoS.

Contributions to the Resilience Management in the Internet of Things

El auge del "Internet de las Cosas" (IoT, "Internet of Things") y sus tecnologías asociadas han permitido su aplicación en diversos dominios de la aplicación, entre los que se encuentran la monitorización de ecosistemas forestales, la gestión de catástrofes y emergencias, la domótica, la automatización industrial, los servicios para ciudades inteligentes, la eficiencia energética de edificios, la detección de intrusos, la gestión de desastres y emergencias o la monitorización de señales corporales, entre muchas otras. La desventaja de una red IoT es que una vez desplegada, ésta queda desatendida, es decir queda sujeta, entre otras cosas, a condiciones climáticas cambiantes y expuestas a catástrofes naturales, fallos de software o hardware, o ataques maliciosos de terceros, por lo que se puede considerar que dichas redes son propensas a fallos. El principal requisito de los nodos constituyentes de una red IoT es que estos deben ser capaces de seguir funcionando a pesar de sufrir errores en el propio sistema. La capacidad de la red para recuperarse ante fallos internos y externos inesperados es lo que se conoce actualmente como "Resiliencia" de la red. Por tanto, a la hora de diseñar y desplegar aplicaciones o servicios para IoT, se espera que la red sea tolerante a fallos, que sea auto-configurable, auto-adaptable, auto-optimizable con respecto a nuevas condiciones que puedan aparecer durante su ejecución. Esto lleva al análisis de un problema fundamental en el estudio de las redes IoT, el problema de la "Conectividad". Se dice que una red está conectada si todo par de nodos en la red son capaces de encontrar al menos un camino de comunicación entre ambos. Sin embargo, la red puede desconectarse debido a varias razones, como que se agote la batería, que un nodo sea destruido, etc. Por tanto, se hace necesario gestionar la resiliencia de la red con el objeto de mantener la conectividad entre sus nodos, de tal manera que cada nodo IoT sea capaz de proveer servicios continuos, a otros nodos, a otras redes o, a otros servicios y aplicaciones. En este contexto, el objetivo principal de esta tesis doctoral se centra en el estudio del problema de conectividad IoT, más concretamente en el desarrollo de modelos para el análisis y gestión de la Resiliencia, llevado a la práctica a través de las redes WSN, con el fin de mejorar la capacidad la tolerancia a fallos de los nodos que componen la red. Este reto se aborda teniendo en cuenta dos enfoques distintos, por una parte, a diferencia de otro tipo de redes de dispositivos convencionales, los nodos en una red IoT son propensos a perder la conexión, debido a que se despliegan en entornos aislados, o en entornos con condiciones extremas; por otra parte, los nodos suelen ser recursos con bajas capacidades en términos de procesamiento, almacenamiento y batería, entre otros, por lo que requiere que el diseño de la gestión de su resiliencia sea ligero, distribuido y energéticamente eficiente. En este sentido, esta tesis desarrolla técnicas auto-adaptativas que permiten a una red IoT, desde la perspectiva del control de su topología, ser resiliente ante fallos en sus nodos. Para ello, se utilizan técnicas basadas en lógica difusa y técnicas de control proporcional, integral y derivativa (PID - "proportional-integral-derivative"), con el objeto de mejorar la conectividad de la red, teniendo en cuenta que el consumo de energía debe preservarse tanto como sea posible. De igual manera, se ha tenido en cuenta que el algoritmo de control debe ser distribuido debido a que, en general, los enfoques centralizados no suelen ser factibles a despliegues a gran escala. El presente trabajo de tesis implica varios retos que conciernen a la conectividad de red, entre los que se incluyen: la creación y el análisis de modelos matemáticos que describan la red, una propuesta de sistema de control auto-adaptativo en respuesta a fallos en los nodos, la optimización de los parámetros del sistema de control, la validación mediante una implementación siguiendo un enfoque de ingeniería del software y finalmente la evaluación en una aplicación real. Atendiendo a los retos anteriormente mencionados, el presente trabajo justifica, mediante una análisis matemático, la relación existente entre el "grado de un nodo" (definido como el número de nodos en la vecindad del nodo en cuestión) y la conectividad de la red, y prueba la eficacia de varios tipos de controladores que permiten ajustar la potencia de trasmisión de los nodos de red en respuesta a eventuales fallos, teniendo en cuenta el consumo de energía como parte de los objetivos de control. Así mismo, este trabajo realiza una evaluación y comparación con otros algoritmos representativos; en donde se demuestra que el enfoque desarrollado es más tolerante a fallos aleatorios en los nodos de la red, así como en su eficiencia energética. Adicionalmente, el uso de algoritmos bioinspirados ha permitido la optimización de los parámetros de control de redes dinámicas de gran tamaño. Con respecto a la implementación en un sistema real, se han integrado las propuestas de esta tesis en un modelo de programación OSGi ("Open Services Gateway Initiative") con el objeto de crear un middleware auto-adaptativo que mejore la gestión de la resiliencia, especialmente la reconfiguración en tiempo de ejecución de componentes software cuando se ha producido un fallo. Como conclusión, los resultados de esta tesis doctoral contribuyen a la investigación teórica y, a la aplicación práctica del control resiliente de la topología en redes distribuidas de gran tamaño. Los diseños y algoritmos presentados pueden ser vistos como una prueba novedosa de algunas técnicas para la próxima era de IoT. A continuación, se enuncian de forma resumida las principales contribuciones de esta tesis: (1) Se han analizado matemáticamente propiedades relacionadas con la conectividad de la red. Se estudia, por ejemplo, cómo varía la probabilidad de conexión de la red al modificar el alcance de comunicación de los nodos, así como cuál es el mínimo número de nodos que hay que añadir al sistema desconectado para su re-conexión. (2) Se han propuesto sistemas de control basados en lógica difusa para alcanzar el grado de los nodos deseado, manteniendo la conectividad completa de la red. Se han evaluado diferentes tipos de controladores basados en lógica difusa mediante simulaciones, y los resultados se han comparado con otros algoritmos representativos. (3) Se ha investigado más a fondo, dando un enfoque más simple y aplicable, el sistema de control de doble bucle, y sus parámetros de control se han optimizado empleando algoritmos heurísticos como el método de la entropía cruzada (CE, "Cross Entropy"), la optimización por enjambre de partículas (PSO, "Particle Swarm Optimization"), y la evolución diferencial (DE, "Differential Evolution"). (4) Se han evaluado mediante simulación, la mayoría de los diseños aquí presentados; además, parte de los trabajos se han implementado y validado en una aplicación real combinando técnicas de software auto-adaptativo, como por ejemplo las de una arquitectura orientada a servicios (SOA, "Service-Oriented Architecture"). ABSTRACT The advent of the Internet of Things (IoT) enables a tremendous number of applications, such as forest monitoring, disaster management, home automation, factory automation, smart city, etc. However, various kinds of unexpected disturbances may cause node failure in the IoT, for example battery depletion, software/hardware malfunction issues and malicious attacks. So, it can be considered that the IoT is prone to failure. The ability of the network to recover from unexpected internal and external failures is known as "resilience" of the network. Resilience usually serves as an important non-functional requirement when designing IoT, which can further be broken down into "self-*" properties, such as self-adaptive, self-healing, self-configuring, self-optimization, etc. One of the consequences that node failure brings to the IoT is that some nodes may be disconnected from others, such that they are not capable of providing continuous services for other nodes, networks, and applications. In this sense, the main objective of this dissertation focuses on the IoT connectivity problem. A network is regarded as connected if any pair of different nodes can communicate with each other either directly or via a limited number of intermediate nodes. More specifically, this thesis focuses on the development of models for analysis and management of resilience, implemented through the Wireless Sensor Networks (WSNs), which is a challenging task. On the one hand, unlike other conventional network devices, nodes in the IoT are more likely to be disconnected from each other due to their deployment in a hostile or isolated environment. On the other hand, nodes are resource-constrained in terms of limited processing capability, storage and battery capacity, which requires that the design of the resilience management for IoT has to be lightweight, distributed and energy-efficient. In this context, the thesis presents self-adaptive techniques for IoT, with the aim of making the IoT resilient against node failures from the network topology control point of view. The fuzzy-logic and proportional-integral-derivative (PID) control techniques are leveraged to improve the network connectivity of the IoT in response to node failures, meanwhile taking into consideration that energy consumption must be preserved as much as possible. The control algorithm itself is designed to be distributed, because the centralized approaches are usually not feasible in large scale IoT deployments. The thesis involves various aspects concerning network connectivity, including: creation and analysis of mathematical models describing the network, proposing self-adaptive control systems in response to node failures, control system parameter optimization, implementation using the software engineering approach, and evaluation in a real application. This thesis also justifies the relations between the "node degree" (the number of neighbor(s) of a node) and network connectivity through mathematic analysis, and proves the effectiveness of various types of controllers that can adjust power transmission of the IoT nodes in response to node failures. The controllers also take into consideration the energy consumption as part of the control goals. The evaluation is performed and comparison is made with other representative algorithms. The simulation results show that the proposals in this thesis can tolerate more random node failures and save more energy when compared with those representative algorithms. Additionally, the simulations demonstrate that the use of the bio-inspired algorithms allows optimizing the parameters of the controller. With respect to the implementation in a real system, the programming model called OSGi (Open Service Gateway Initiative) is integrated with the proposals in order to create a self-adaptive middleware, especially reconfiguring the software components at runtime when failures occur. The outcomes of this thesis contribute to theoretic research and practical applications of resilient topology control for large and distributed networks. The presented controller designs and optimization algorithms can be viewed as novel trials of the control and optimization techniques for the coming era of the IoT. The contributions of this thesis can be summarized as follows: (1) Mathematically, the fault-tolerant probability of a large-scale stochastic network is analyzed. It is studied how the probability of network connectivity depends on the communication range of the nodes, and what is the minimum number of neighbors to be added for network re-connection. (2) A fuzzy-logic control system is proposed, which obtains the desired node degree and in turn maintains the network connectivity when it is subject to node failures. There are different types of fuzzy-logic controllers evaluated by simulations, and the results demonstrate the improvement of fault-tolerant capability as compared to some other representative algorithms. (3) A simpler but more applicable approach, the two-loop control system is further investigated, and its control parameters are optimized by using some heuristic algorithms such as Cross Entropy (CE), Particle Swarm Optimization (PSO), and Differential Evolution (DE). (4) Most of the designs are evaluated by means of simulations, but part of the proposals are implemented and tested in a real-world application by combining the self-adaptive software technique and the control algorithms which are presented in this thesis.

Design and Test of a High QoS Radio Network for CBTC Systems in Subway Tunnels

Communications Based Train Control Systems require high quality radio data communications for train signaling and control. Actually most of these systems use 2.4GHz band with proprietary radio transceivers and leaky feeder as distribution system. All them demand a high QoS radio network to improve the efficiency of railway networks. We present narrow band, broad band and data correlated measurements taken in Madrid underground with a transmission system at 2.4 GHz in a test network of 2 km length in subway tunnels. The architecture proposed has a strong overlap in between cells to improve reliability and QoS. The radio planning of the network is carefully described and modeled with narrow band and broadband measurements and statistics. The result is a network with 99.7% of packets transmitted correctly and average propagation delay of 20ms. These results fulfill the specifications QoS of CBTC systems.

Spacecraft thermal control design data

This paper shows the actual state of a compilation work on Thermal Control Design Data being done at Madrid (Lamf-ETSIA) under several ESTEC contracts, introducing a Handbook already issued, its additions and updatings.

Bases moleculares de la resistencia a insecticidas en la mosca mediterránea de la fruta Ceratitis Capitata (Wiedemann)

La mosca mediterránea de la fruta Ceratitis capitata (Wiedemann, 1824) está considerada una de las plagas clave para la fruticultura. El malatión es un insecticida organofosforado que fue empleado mayoritariamente en España para el control de C. capitata hasta 2009, año en el que dejó de utilizarse por no estar incluido en el anexo I de la Directiva Europea 91/414/ECC. El incremento del uso del malatión, debido a las graves pérdidas económicas causadas por C. capitata, provocó la aparición de poblaciones de campo resistentes. El estudio de una población resistente a malatión, recogida en Castelló en 2004, permitió la identificación de dos mecanismos de resistencia: una mutación puntual (G328A) en la acetilcolinesterasa (AChE) y un mecanismo de resistencia metabólica, probablemente mediado por carboxilesterasas. Teniendo en cuenta estos antecedentes, nos propusimos estudiar los mecanismos implicados en la resistencia a malatión en C. capitata. Además, durante el desarrollo de esta Tesis, el malatión fue sustituido por otros insecticidas como el espinosad y la lambda-cialotrina para el control de la plaga. En este nuevo contexto, es extremadamente importante analizar la susceptibilidad de poblaciones de campo frente a espinosad y estudiar la posible existencia de resistencia cruzada a estos insecticidas, así como sentar las bases para el estudio de futuros mecanismos de resistencia. En primer lugar, analizamos mediante bioensayos con dosis discriminante la susceptibilidad a malatión y espinosad en doce poblaciones de C. capitata de Andalucía, Aragón, Cataluña, Comunidad Valenciana e Islas Baleares; y nuestros resultados sugirieron la presencia de individuos resistentes a malatión en la mayoría de las poblaciones analizadas. En el caso del espinosad, observamos que la susceptibilidad a este insecticida de origen biológico fue elevada en la mayoría de las poblaciones, sin embargo, la población recogida en Xàbia (Alicante) mostró un nivel de susceptibilidad unas dos veces menor al resto de poblaciones. Mediante la selección en laboratorio, obtuvimos dos líneas resistentes a malatión, W-4Km y W-10Km, con unos niveles de resistencia con respeto a la línea susceptible C de 178 y 400 veces, respectivamente. Además, se seleccionó por primera vez en C. capitata una línea altamente resistente a espinosad (Xàbia-W-100s), que actualmente es unas 500 veces más resistente que la línea de laboratorio C. Con el objetivo de escoger la estrategia más adecuada para el manejo de la plaga, estudiamos la susceptibilidad a diferentes tipos de insecticidas en la línea resistente a malatión W- 4Km. En esta línea detectamos resistencia cruzada moderada a los organofosforados fentión, diazinón, fosmet, triclorfón y metil-clorpirifos (de 7 a 16 veces) y frente al carbamato carbaril, al piretroide lambda-cialotrina y al quimioesterilizante lufenurón (de 4 a 6 veces). Por otra parte, la resistencia cruzada frente a espinosad fue baja (1,5 veces). Es importante destacar que los niveles de resistencia estimados frente a todos los insecticidas fueron de uno o dos órdenes de magnitud inferiores al observado en la línea W-4Km frente a malatión (178 veces), hecho que podría deberse, al menos, a dos posibles hipótesis: que la mutación AChE G328A confiera mayor insensibilidad al malaoxón (forma activa del malatión) que a otros insecticidas que tienen como diana la AChE y/o, en segundo lugar, que el mecanismo de resistencia mediado por carboxilesterasas hidrolice el malatión de manera más eficiente que los otros insecticidas analizados. En el estudio de nuevos mecanismos de resistencia en C. capitata, por un lado, analizamos la diversidad de enzimas citocromo P450, asociadas con resistencia metabólica en otras especies, y por otro lado, desarrollamos un sistema para la detección de nuevas mutaciones puntuales que pudiesen aparecer en los genes que codifican la AChE (Ccace2) y la aliesterasa (Ccae7). Mediante el empleo de cebadores degenerados obtuvimos 37 genes CYP, que codifican enzimas P450, pertenecientes a cinco familias. Posteriormente, en un estudio de inducción con fenobarbital, observamos que la expresión de cuatro de los seis genes analizados era susceptible de ser inducida. Por otro lado, se puso a punto un sistema que permite amplificar y secuenciar, a partir de DNA genómico, los exones de los genes Ccace2 y Ccae7 en los que se han encontrado mutaciones relacionadas con resistencia a insecticidas en otras especies. Los resultados obtenidos facilitarán el estudio de nuevos mecanismos de resistencia mediados por estas enzimas en C. capitata. Se diseñó un método PCR-RFLP para identificar los individuos portadores de la mutación AChE G328A (alelo de resistencia Ccace2R) sin la necesidad de realizar bioensayos y que, además, permite detectar resistencia cuando ésta se encuentra a baja frecuencia. Según el análisis realizado, el alelo Ccace2R se observó en 25 de las 27 localidades españolas muestreadas en el territorio español, incluyendo las Islas Baleares y Canarias. Sin embargo, este alelo no se detectó en poblaciones procedentes de once países y de cinco continentes. El análisis de la presencia del alelo Ccace2R en las líneas resistentes a malatión durante el proceso de selección en el laboratorio mostró una rápida disminución de los homocigotos, tanto para el alelo susceptible como para el alelo de resistencia, en favor de los individuos heterocigotos. Así, después de 52 generaciones de selección, se observó que la totalidad de los individuos analizados de la línea W-10Km presentaban un genotipo heterocigoto para la mutación AChE G328A. Este desequilibrio contradice la segregación mendeliana esperada para un gen con dos alelos pero podría ser explicado por la existencia de una duplicación del gen Ccace2. La demostración de la presencia de esta duplicación se realizó mediante: i) el cruzamiento de individuos heterocigotos de la línea W-10Km con homocigotos susceptibles de la línea C, que dio lugar a una descendencia en la que el 100% de los individuos eran heterocigotos; ii) la evaluación del número de copias del gen Ccace2 por PCR cuantitativa en tiempo real (qPCR), que resultó dos veces mayor en individuos de la línea W-10Km en comparación con los de la línea C; iii) el análisis del nivel de expresión de Ccace2, que fue el doble en la línea W-10Km con respecto a la línea C, y iv) el estudio de la actividad AChE, que resultó mayor en los individuos de la línea W-10Km. Según los resultados obtenidos, una duplicación del gen Ccace2 provoca la coexistencia en un mismo cromosoma del alelo silvestre y del alelo mutado y, además, las dos copias del gen Ccace2, al estar ligadas, producen una heterocigosis permanente (Ccace2RS). De esta manera se explica que el hecho de que 100% de los individuos de la línea W-10Km mostrasen un perfil de restricción correspondiente a un individuo heterocigoto ya que, en realidad, eran homocigotos estructurales para la duplicación (genotipo CCace2RS/RS). Se ha detectado un coste biológico asociado a la duplicación que consiste en un incremento en la mortalidad acumulada de los adultos a partir del séptimo día después de la emergencia. La descripción de la duplicación Ccace2RS supone la identificación de un nuevo mecanismo de resistencia a malatión en C. capitata. Finalmente, mediante el diseño de un método de doble PCR-RFLP se determinó la presencia de la duplicación Ccace2RS en la mayoría de las poblaciones españolas. La proporción de individuos portadores de la duplicación osciló entre el 5% y el 35%, observándose los mayores valores de frecuencia en las poblaciones de C. capitata recogidas en la cuenca mediterránea. Podemos por lo tanto concluir que la resistencia a malatión asociada a la mutación AChE G328A y a la duplicación Ccace2RS está ampliamente establecida en las poblaciones españolas de C. capitata. Nuestros resultados desaconsejan la utilización del malatión (si fuera de nuevo autorizado) o de otros organofosforados para el control de esta plaga. Además, una de las líneas resistentes a malatión mostró resistencia cruzada frente a insecticidas con diferentes modos de acción y que se utilizan actualmente para el control de C. capitata, tales como lambda-cialotrina y lufenurón. La alta susceptibilidad a espinosad observada en las poblaciones españolas, así como la reducida resistencia cruzada estimada para este insecticida, sugieren que su utilización es adecuada para el control de la plaga. Sin embargo, la utilización de un sólo insecticida puede entrañar riesgos por favorecer la selección de resistencia, de hecho, mediante selección en laboratorio se obtuvo una población altamente resistente a espinosad. Por tanto, es recomendable implementar programas de control integrado y de manejo de la resistencia en C. capitata utilizando distintos sistemas de control e insecticidas con diferentes mecanismos de acción que permitan su sostenibilidad en el tiempo. Los sistemas de detección de alelos de resistencia desarrollados en este trabajo permitirán la detección precoz de resistencia en campo, facilitando la decisión sobre el sistema de control más adecuado. Además, los conocimientos generados podrán contribuir al desarrollo de nuevos sistemas de detección para otros mecanismos de resistencia. Abstract. The Mediterranean fruit fly, Ceratitis capitata (Wiedemann, 1824), is considered one of the most harmful pests in fruit crops. Until 2009, when malathion use was banned due to its not inclusion in the Annex I of Directive 91/414/EEC, the application of this organophosphate (OP) insecticide in Spain increased gradually due to the large economic losses caused by C. capitata. The increase in the frequency of treatments resulted in the development of resistant field populations. The study of a malathion-resistant population, collected in 2004 in Castelló (Comunidad Valenciana), allowed the identification of two resistance mechanisms: a single point mutation (G328A) in the target acetylcholinesterase (AChE), as well as a metabolic resistance mechanism, most likely carboxylesterase-mediated. Taking all the preceding into account, we studied the malathion resistance mechanisms in C. capitata. During the development of this PhD Thesis malathion use was banned by the European Union, being replaced by other insecticides, such as spinosad and lambda-cyhalotrin. Within this new working frame, the need to analyse the possible existence of cross-resistance to these insecticides and the susceptibility to spinosad in field populations was raised. This would define the baseline for future studies on resistance mechanisms. Firstly, through discriminant dose bioassays, we analysed malathion and spinosad susceptibility in twelve C. capitata populations from Andalucia, Aragon, Cataluña, C. Valenciana and the Baleares Islands. Our results suggest the presence of malathion-resistant individuals in most of the populations analysed. Regarding spinosad, we noticed a high susceptibility to this biologically derived insecticide in most of the populations, but in the one collected in Xabia (Alicante), which had a susceptibility level two times lower than the rest of populations. Through laboratory selection, we obtained two malathion-resistant strains, W-4Km and W-10Km, with resistance levels 178- and 400-fold, respectively, compared to the control susceptible C strain. Besides, a strain highly-resistant to spinosad (Xabia-W-100s), 500-times more resistant than control C strain, was selected. In order to decide the most appropriate management strategy for the pest, we studied the susceptibility to different insecticides in the malathion-resistant W-4Km strain. We detected a moderated cross-resistance to the OPs fenthion, diazinon, phosmet, trichlorphon and methylchlorpyrifos (7- to 16-fold), and to the carbamate carbaryl, the pyretroid lambda-cyhalotrin and the chemosterilizer lufenuron (4- to 6-fold). On the other hand, cross-resistance to spinosad was low (1.5-fold). It is important to note that resistance levels to all insecticides were one or two orders of magnitude less than that observed against malathion in W-4Km strain (178-fold), a fact that might be due to, at least, two possible causes: mutation AChE G328A may provide a higher insensitivity to malaoxon (the active form of malathion) than to other insecticides having AChE as target, and/or, secondly, the carboxylesterase-mediated resistance mechanism hydrolyzes malathion more efficiently than all other analysed insecticides. To investigate new resistance mechanisms in C. capitata we analysed the diversity of the cytochrome P450 enzymes, which have been associated to metabolic resistance in insects, and we developed a new method to detect single point mutations in acetylcholinesterase (Ccace2) and aliesterase (Ccae7) genes that could appear. Using degenerate primers we obtained 37 CYP genes, coding P450 enzymes, included in five families. Afterwards, in a phenobarbital-induction study, we observed that the expression of 4 out of the 6 analysed genes could be induced. On the other hand, a system was set up to amplify and to sequence from genomic DNA the exons of genes Ccace2 and Ccae7 where mutations related to insecticide resistance have been found in other species. The results obtained could facilitate the study of new resistance mechanisms in C. capitata mediated by these enzymes. A PCR-RFLP method was designed to detect the presence of the mutation AChE G328A (resistance allele Ccace2R), with no need to perform bioassays and allowing detecting resistance at low frequency. According to the analysis, the resistance allele was found in 25 out of 27 sampled locations in Spain, including the Balearic and the Canary Islands. However, this allele was not detected in other populations collected in 11 countries from 5 continents. The follow-up of the presence of the allele Ccace2R in the malathion-resistant strains during the selection process in the laboratory showed a quick decrease in homozygous individuals, for both the susceptible and the resistant alleles, favouring heterozygous. Thus, after 52 generations of selection, all the individuals analysed from W-10Km strain showed a heterozygous genotype for mutation AChE G328A, contradicting mendelian segregation as expected for a gene with two alleles. Afterwards, we were able to demonstrate that this was caused by the presence of a duplication of the gene coding acetylcholinesterase by: i) crossing heterozygous individuals from W-10Km strain with susceptible homozygous from C strain, originating a F1 population in which 100% of individuals were heterozygous; ii) evaluating the number of copies of gen Ccace2 by quantitative PCR in real time (qPCR), that happened to be twice higher in individuals from W-10Km VII strain when compared with C strain; iii) analysing the level of expression of Ccace2, twice in W- 10Km strain when compared to C strain; iv) studying the acetylcholinesterase activity, that was higher in individuals from W-10Km strain. According to these results, duplication of gen Ccace2 originates the coexistence of the susceptible and the resistant allele in the same chromosome. The two linked copies of the gene Ccace2 provoke the existence of permanent heterozygosis (Ccace2RS). This explains why the 100% of individuals from W-10Km strain showed an heterozygous restriction pattern since, in fact, they were structural homozygotes for the duplication (genotype Ccace2RS/RS). A biological cost has been detected associated to this duplication, consisting in a rise in accumulated adult mortality from the seventh day after emergence. The Ccace2RS duplication described in this study represents a new resistance mechanism to malathion in C. capitata. Finally, by the design of a double PCR-RFLP method, the presence of Ccace2RS duplication was confirmed in most of the Spanish populations. We observed that the proportion of individuals carrying the duplication oscillated between 5 and 35%, the frequency being higher in those C. capitata populations collected in the area of the Mediterranean basin. Therefore, we can conclude that malathion resistance associated to mutation AChE G328A and to Ccace2RS duplication are widely distributed in Spanish populations of C. capitata. Our results advice against the use of malathion (if it came to be newly authorized for use) or other OPs for the control of this pest. Besides, one of the malathion-resistant strains showed cross-resistance against insecticides with diverse action modes that are currently used for pest control, such as lambdacyhalotrin and lufenuron. High susceptibility to spinosad in the Spanish populations, as well as the reduced cross-resistance estimated for this insecticide suggests its adequacy for Medfly control. However, the use of a single insecticide is a risky strategy since it favours the selection of resistance. In fact, a population highly resistant to spinosad was obtained through laboratory selection. Therefore, it is advisable to implement integrated pest management (IPM) and resistance management programs for C. capitata control. Using insecticides with different modes of action and diverse control systems would contribute to the sustainability of the pest control. The resistance allele detection systems developed through this work will allow the early detection of resistance in the field, making possible the selection of the most appropriate method for pest control. Besides, the generated knowledge may also contribute to the development of new detection systems for other resistance mechanisms.