Nas últimas três décadas os phase locked loops (PLLs) totalmente digitais têm recebido muita atenção devido, principalmente, às vantagens que eles oferecem em comparação aos PLLs analógicos. Essas vantagens incluem melhor desempenho, maior velocidade e confiabilidade, tamanho reduzido e menor custo. Os PLLs também são amplamente utilizados em sistemas de comunicações e em outras aplicações digitais. A presente dissertação é uma contribuição no campo dos PLLs digitais adaptativos e otimizados para a sua implementação em hardware. É feito uma análise de suas características dinâmicas e proposta uma nova estrutura de PLL digital capaz de melhorar a resposta da malha em termos de tempo de aquisição e largura de banda. A Malha Síncrona Digital \"Tanlock\" com Estimação de Frequência e Ganho Adaptativo para Convergência Rápida, como é chamada, foi desenvolvida a partir da malha digital \"Tanlock\", utilizando-se teoremas de ponto fixo e mapas contrativos para determinar as condições de ganho que garantam convergência rápida e melhor utilização da largura de banda. Resultados das simulações são comparados com os obtidos teoricamente para avaliar o desempenho da malha proposta. / In the last three decades, fully-digital Phase-Locked-Loops (PLLs) systems have received a lot of attention due to its advantages in comparison with analog PLLs. These advantages include improved transient response, reliability and also reduced size and cost. The PLLs are widely used in communications systems and many other digital applications. This dissertation is a contribution to the field of digital adaptive PLLs optimized to hardware implementation. Here, a new PLL structure is presented; the Frequency Sensing Adaptive TDTL is an improvement to the classic Time-Delay Tanlock structure, alowing fast convergence to the synchronous states, using fixed-point theorems and contractive maps to determine the gain conditions which ensure the rapid convergence and also providing wider bandwidth. The results of simulations are compared with those obtained theoretically in order to assess the loop performance.

Orientador: Renato Pavanello / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica / Made available in DSpace on 2018-08-18T13:26:34Z (GMT). No. of bitstreams: 1 Antonio_LeonardoMachado_M.pdf: 4297559 bytes, checksum: 9607067525a5f1e234ed72d8bcef64ef (MD5) Previous issue date: 2011 / Resumo: A explotação de petróleo em ambientes off-shore possui inúmeras dificuldades, dentre as quais lâminas d'águas cada vez mais profundas. Neste contexto, as linhas submarinas são componentes de grande importância nesta atividade, pois estabelecem a comunicação entre as unidades de produção e os equipamentos submarinos. Este trabalho estuda a interação solo-estrutura de risers rígidos em catenária utilizando a formulação co-rotacional através de abordagens estática e dinâmica. A abordagem estática trata do equílibrio estático de estruturas não-lineares, no qual utiliza-se a estratégia de controle por carregamento;enquanto a abordagem dinâmica utiliza a discretização temporal de Newmark para resolução do equílibrio dinâmico de estruturas não-lineares. Este estudo mostra a implementação de modelos com um e dois parâmetros baseados das hipóteses de Winkler, Filonenko-Borodich e Pasternak no contexto interação da estrutura do riser com o leito marinho / Abstract: The petroleum explotation on off-shore enviorments has differents dificulties, for example deeper water deths. In this context, the marine pipes are components of extreme importance, since they are the comunication between the production units and the subsea equipaments. This work studies the soil-structure interaction of steel cathenary risers using corotational formulation within static and dynamic approaches of structural calculation. The static approach focus on the non-linear static equilibrium of structures using the load control strategy. On the other side, the dynamic approach uses the Newmark time discretization to solve the non-linear dynamic equilibrium equation. This study shows the implementation of foundation with one and two parameter based on hipotheses of Winkler, Filonenko-Borodich and Pasternak in the riser structure and soil interaction context / Mestrado / Mecanica dos Sólidos e Projeto Mecanico / Mestre em Engenharia Mecânica

No description available.

L'objectif de cette thèse est d'étudier le problème de la détection de données dans le système de communication sans fil, à la fois pour le cas de l'information d'état de canal parfaite et imparfaite au niveau du récepteur. Comme on le sait, la complexité de MLSE est exponentielle en la mémoire de canal et la cardinalité de l'alphabet symbole est rapidement ingérable, ce qui force à recourir à des approches sousoptimales. Par conséquent, en premier lieu, nous proposons une nouvelle égalisation itérative lorsque le canal est inconnu à l'émetteur et parfaitement connu au niveau du récepteur. Ce récepteur est basé sur une approche de continuation, et exploite l'idée d'approcher une fonction originale de coût d'optimisation par une suite de fonctions plus dociles et donc de réduire la complexité de calcul au récepteur.En second lieu, en vue de la détection de données sous un canal dynamique linéaire, lorsque le canal est inconnu au niveau du récepteur, le récepteur doit être en mesure d'effectuer conjointement l'égalisation et l'estimation de canal. De cette manière, on formule une représentation de modèle état-espace combiné du système de communication. Par cette représentation, nous pouvons utiliser le filltre de Kalman comme le meilleur estimateur des paramètres du canal. Le but de cette section est de motiver de façon rigoureuse la mise en place du filltre de Kalman dans l'estimation des sequences de Markov par des canaux dynamiques Gaussien. Par la présente, nous interprétons et explicitons les approximations sous-jacentes dans les approaches heuristiques.Enfin, si nous considérons une approche plus générale pour le canal dynamique non linéaire, nous ne pouvons pas utiliser le filtre de Kalman comme le meilleur estimateur. Ici, nous utilisons des modèles commutation d’espace-état (SSSM) comme modèles espace-état non linéaires. Ce modèle combine le modèle de Markov caché (HMM) et le modèle espace-état linéaire (LSSM). Pour l'estimation de canal et la detection de données, l'approche espérance et maximisation (EM) est utilisée comme approche naturelle. De cette façon, le filtre de Kalman étendu (EKF) et les filtres à particules sont évités. / The aim of this thesis is to study the problem of data detection in wireless communication system, for both case of perfect and imperfect channel state information at the receiver. As well known, the complexity of MLSE being exponential in the channel memory and in the symbol alphabet cardinality is quickly unmanageable and forces to resort to sub-optimal approaches. Therefore, first we propose a new iterative equalizer when the channel is unknown at the transmitter and perfectly known at the receiver. This receiver is based on continuation approach, and exploits the idea of approaching an original optimization cost function by a sequence of more tractable functions and thus reduce the receiver's computational complexity. Second, in order to data detection under linear dynamic channel, when the channel is unknown at the receiver, the receiver must be able to perform joint equalization and channel estimation. In this way, we formulate a combined state-space model representation of the communication system. By this representation, we can use the Kalman filter as the best estimator for the channel parameters. The aim in this section is to motivate rigorously the introduction of the Kalman filter in the estimation of Markov sequences through Gaussian dynamical channels. By this we interpret and make clearer the underlying approximations in the heuristic approaches. Finally, if we consider more general approach for non linear dynamic channel, we can not use the Kalman filter as the best estimator. Here, we use switching state-space model (SSSM) as non linear state-space model. This model combines the hidden Markov model (HMM) and linear state-space model (LSSM). In order to channel estimation and data detection, the expectation and maximization (EM) procedure is used as the natural approach. In this way extended Kalman filter (EKF) and particle filters are avoided.

A utilização de Redes Neurais Artificias para fins de identificação e controle de sistemas dinâmicos têm recebido atenção especial de muitos pesquisadores, principalmente no que se refere a sistemas não lineares. Neste trabalho é apresentado um estudo sobre a utilização de um tipo em particular de Rede Neural Artificial, uma Perceptron Multicamadas com Atraso de Tempo, na estimação de estados da etapa fermentativa do processo de Reichstein para produção de vitamina C. A aplicação de Redes Neurais Artificiais a este processo pode ser justificada pela existência de problemas associados à esta etapa, como variáveis de estado não mensuráveis e com incertezas de medida e não linearidade do processo fermentativo, além da dificuldade em se obter um modelo convencional que contemple todas as fases do processo. É estudado também a eficácia do algoritmo de Levenberg-Marquadt, na aceleração do treinamento da Rede Neural Artificial, além de uma comparação do desempenho de estimação de estados das Redes Neurais Artificiais estudadas com o filtro estendido de Kalman, baseado em um modelo não estruturado do processo fermentativo. A análise do desempenho das Redes Neurais Artificiais estudadas é avaliada em termos de uma figura de mérito baseada no erro médio quadrático sendo feitas considerações quanto ao tipo da função de ativação e o número de unidades da camada oculta. Os dados utilizados para treinamento e avaliação da Redes Neurais Artificiais foram obtidos de um conjunto de ensaios interpolados para o intervalo de amostragem desejado. / ldentification and Control of dynamic systems using Artificial Neural Networks has been widely investigated by many researchers in the last few years, with special attention to the application of these in nonlinear systems. ls this works, a study on the utilization of a particular type of Artificial Neural Networks, a Time Delay Multi Layer Perceptron, in the state estimation of the fermentative phase of the Reichstein process of the C vitamin production. The use of Artificial Neural Networks can be justified by the presence of problems, such as uncertain and unmeasurable state variables and process non-linearity, and by the fact that a conventional model that works on all phases of the fermentative processes is very difficult to obtain. The efficiency of the Levenberg Marquadt algorithm on the acceleration of the training process is also studied. Also, a comparison is performed between the studied Artificial Neural Networks and an extended Kalman filter based on a non-structured model for this fermentative process. The analysis of lhe Artificial Neural Networks is carried out using lhe mean square errors taking into consideration lhe activation function and the number of units presents in the hidden layer. A set of batch experimental runs, interpolated to the desired time interval, is used for training and validating the Artificial Neural Networks.

Récemment, les actionneurs ioniques ultra-minces à base de poly (3,4-éthylènedioxythiophène) (PEDOT) ont surmonté certains obstacles initiaux pour augmenter le potentiel d'applications dans les dispositifs microfabriqués. Bien que la microfabrication d’actionneurs à trois couches, n’impliquant aucune manipulation manuelle, ait été démontrée, leurs performances mécaniques restent limitées pour des applications pratiques. Le but de cette thèse est d'optimiser les transducteurs dans la phase de fabrication des couches minces en utilisant des micro technologies, de caractériser complètement les propriétés électrochimiques des transducteurs ainsi obtenus, et de développer un modèle pour simuler leurs capacités électromécaniques bidirectionnelles (actionnement et détection). Tout d'abord, les actionneurs à trois couches ultra-minces à base de PEDOT sont fabriqués par polymérisation en phase vapeur de 3,4-éthylènedioxythiophène en réalisant un procédé de synthèse couche par couche. Le travail présenté constitue la première caractérisation complète de microactionneurs ioniques à base de PEDOT fonctionnant dans l’air d’une si faible épaisseur (17 μm) présentant une déformation en flexion et une génération de force de 1% et 12 μN respectivement. En effet, les propriétés électriques, électrochimiques et mécaniques des microactionneurs ont été minutieusement étudiées. La caractérisation non linéaire a été étendue à la dépendance de la capacité volumétrique sur une fenêtre de tension. Le coefficient d'amortissement a été caractérisé pour la première fois. Par ailleurs, un modèle multi-physique non linéaire a été proposé comme méthode de simulation des réponses en mode actionneur et capteur dans des couches multiples, représenté à l'aide d'un formalisme Bond Graph, et a été capable de mettre en œuvre tous les paramètres caractérisés. La concordance entre les simulations et les mesures a confirmé l'exactitude du modèle pour prédire le comportement dynamique non linéaire des actionneurs. En outre, les informations extraites du modèle ont également permis de mieux comprendre les paramètres critiques des actionneurs et leur incidence sur l'efficacité de l'actionneur et sur la distribution de l'énergie. Enfin, un nouveau modèle linéaire électromécanique bidirectionnel a été introduit pour simuler la capacité de détection du transducteur à trois couches et a été confirmé par des résultats expérimentaux dans les domaines fréquentiel et temporel d'un déplacement d'entrée sinusoïdal. Les actionneurs résultants et les modèles proposés sont prometteurs pour la conception, l'optimisation et le contrôle des futurs dispositifs de microsystèmes souples dans lesquels l'utilisation d'actionneurs en polymère devrait être essentielle. / Recently, ultrathin poly (3,4-ethylenedioxythiophene) (PEDOT) – based ionic actuators have overcome some initial obstacles to increase the potential for applications in microfabricateddevices. While microfabrication processing of trilayer actuators that involve no manual handling has been demonstrated, their mechanical performances remain limited for practical applications. The goal of this thesis is to optimize the transducers in thin films fabrication by micro technologies, fully characterize the electrochemomechanical properties of the resulting trilayers, and develop a model to simulate their bidirectional electromechanical ability (actuation and sensing). At first, ultrathin PEDOT-based trilayer actuators are fabricated via the vapor phase polymerization of 3,4-ethylenedioxythiophene combining with the layer by layer synthesis process. This constitutes the first full characterization of ionic PEDOT-based microactuators operating in air of such a small thickness (17 μm) having bending deformation and output force generation of 1% and 12 μN respectively. Secondly, electrical, electrochemical and mechanical properties of the resulting microactuators have been thoroughly studied. Non-linear characterization was extended to volumetric capacitance dependence on voltage window. Damping coefficient was characterized for the first time. Thirdly, a nonlinear multi-physics model was proposed as a method of simulating actuator and sensor responses in trilayers, represented using a Bond Graph formalism, and was able to implement all of the characterized parameters. The concordance between the simulations and the measurements confirmed the accuracy of the model in predicting the non-linear dynamic behavior of the actuators. In addition, the information extracted from the model also provided an insight into the critical parameters of the actuators and how they affect the actuator efficiency, as well as the energy distribution. Finally, a nouveau bidirectional electromechanical linear model was introduced to simulate the sensing ability of the trilayer transducer and was confirmed via experimental results in both frequency and time domains of a sinusoidal input displacement. The resulting actuators and the proposed models are promising for designing, optimizing, and controlling of the future soft microsystem devices where the use of polymer actuators should be essential.

Στη συγκεκριμένη μεταπτυχιακή εργασία γίνεται ανάλυση των ηλεκτροεγκεφαλογραφικών καταγραφών επιληπτικών ασθενών με βάση την κλασματική διάσταση για τον εντοπισμό της έναρξης των επιληπτικών κρίσεων καθώς και για την ανίχνευση των επερχόμενων επιληπτικών κρίσεων. Πιο συγκεκριμένα, χρησιμοποιούνται τέσσερις μέθοδοι υπολογισμού της κλασματικής διάστασης στο πεδίο του χρόνου. Πραγματοποιείται μία συγκριτική μελέτη των συγκεκριμένων μεθόδων χρησιμοποιώντας δύο συνθετικά σήματα γνωστής κλασματικής διάστασης και στη συνέχεια οι μέθοδοι εφαρμόζονται σε ηλεκτροεγκεφαλογραφικές καταγραφές ασθενών που πάσχουν από επιληψία. Η συγκεκριμένη εργασία αποδεικνύει ότι όλες οι μέθοδοι μπορούν και εντοπίζουν την έναρξη των επιληπτικών κρίσεων ενώ η στατιστική ανάλυση δείχνει ότι κάποιες από αυτές τις μεθόδους μπορούν να χρησιμοποιηθούν και ως δείκτες πρόβλεψης των επερχόμενων επιληπτικών κρίσεων. Επίσης, διαπιστώνεται ότι ανάλογα με το είδος των ηλεκτροεγκεφαλογραφικών καταγραφών, το μέγεθος του παραθύρου και τη ζώνη διέλευσης του φίλτρου τα αποτελέσματα της κλασματικής διάστασης που προκύπτουν επηρεάζονται. / Τhe fractal dimension is a powerful tool in the analysis of electroencephalograms. In this work, four methods of estimating the fractal dimension of electroencephaolographic recordings of epileptic patients directly in the time domain are analyzed and compared. The analysis is performed over both synthetic data and real recordings of epileptic patients. The effects of the type of recordings, the window size and the frequencies in the passband filter are examined. This study shows that the four methods detect the beginning of the epileptic seizures, while the statistic analysis proves that some of these methods can be used for the prediction of the next seizures.

A utilização de Redes Neurais Artificias para fins de identificação e controle de sistemas dinâmicos têm recebido atenção especial de muitos pesquisadores, principalmente no que se refere a sistemas não lineares. Neste trabalho é apresentado um estudo sobre a utilização de um tipo em particular de Rede Neural Artificial, uma Perceptron Multicamadas com Atraso de Tempo, na estimação de estados da etapa fermentativa do processo de Reichstein para produção de vitamina C. A aplicação de Redes Neurais Artificiais a este processo pode ser justificada pela existência de problemas associados à esta etapa, como variáveis de estado não mensuráveis e com incertezas de medida e não linearidade do processo fermentativo, além da dificuldade em se obter um modelo convencional que contemple todas as fases do processo. É estudado também a eficácia do algoritmo de Levenberg-Marquadt, na aceleração do treinamento da Rede Neural Artificial, além de uma comparação do desempenho de estimação de estados das Redes Neurais Artificiais estudadas com o filtro estendido de Kalman, baseado em um modelo não estruturado do processo fermentativo. A análise do desempenho das Redes Neurais Artificiais estudadas é avaliada em termos de uma figura de mérito baseada no erro médio quadrático sendo feitas considerações quanto ao tipo da função de ativação e o número de unidades da camada oculta. Os dados utilizados para treinamento e avaliação da Redes Neurais Artificiais foram obtidos de um conjunto de ensaios interpolados para o intervalo de amostragem desejado. / ldentification and Control of dynamic systems using Artificial Neural Networks has been widely investigated by many researchers in the last few years, with special attention to the application of these in nonlinear systems. ls this works, a study on the utilization of a particular type of Artificial Neural Networks, a Time Delay Multi Layer Perceptron, in the state estimation of the fermentative phase of the Reichstein process of the C vitamin production. The use of Artificial Neural Networks can be justified by the presence of problems, such as uncertain and unmeasurable state variables and process non-linearity, and by the fact that a conventional model that works on all phases of the fermentative processes is very difficult to obtain. The efficiency of the Levenberg Marquadt algorithm on the acceleration of the training process is also studied. Also, a comparison is performed between the studied Artificial Neural Networks and an extended Kalman filter based on a non-structured model for this fermentative process. The analysis of lhe Artificial Neural Networks is carried out using lhe mean square errors taking into consideration lhe activation function and the number of units presents in the hidden layer. A set of batch experimental runs, interpolated to the desired time interval, is used for training and validating the Artificial Neural Networks.

Cette thèse propose une réflexion autour de l'étude des marchés financiers sous le prisme des systèmes complexes.Tout d'abord une description mathématique est proposée pour représenter le processus de prises de décision des agents dès lors où celui-ci bien que représentant les intérêts individuels d'un agent, est également influencé par l'émergence d'un comportement collectif. La méthode est particulièrement applicable lorsque le système étudié est caractérisé par une dynamique non-linéaire. Une application du modèle est proposée au travers de l'implémentation d'un marché artificiel boursier avec une approche système multi-agents. Dans cette application la dynamique du marché est décrite à la fois aux niveaux microscopiques (comportement des agents) et macroscopique (formation du prix). Le processus de décision des agents est défini à partir d'un ensemble de règles comportementales reposant sur des principes de logique floue. La dynamique de la formation du prix repose sur une description déterministe à partir des règles d'appariement d'un carnet d'ordres central tel que sur NYSE-Euronext-Paris. Il est montré que le marché artificiel boursier tel qu'implémenté est capable de répliquer plusieurs faits stylisés des marchés financiers : queue de distribution des rendements plus épaisse que celle d'une loi normale et existence de grappes de volatilité (ou volatility clustering).Par la suite, à partir de simulations numériques il est proposé d'étudier trois grandes propriétés du système : sa capacité d'auto-organisation, de résilience et sa robustesse. Dans un premier temps une méthode est introduite pour qualifier le niveau d'auto-organisation du marché. Nous verrons que la capacité d'auto-organisation du système est maximisée quand les comportements des agents sont diversifiés. Ensuite, il est proposé d'étudier la réponse du système quand celui-ci est stressé via la simulation de chocs de marché. Dans les deux analyses, afin de mettre en évidence comment la dynamique globale du système émerge à partir des interactions et des comportements des agents des résultats numériques sont systématiquement apportés puis discutés.Nos résultats montrent notamment qu'un comportement collectif grégaire apparait à la suite d'un choc, et, entraîne une incapacité temporaire du système à s'auto-organiser. Finalement, au travers des simulations numériques il peut être également remarqué que le marché artificiel boursier implémenté est plus sensible à de faibles répétitions répétées qu'à un choc plus important mais unique. / This thesis suggests reflection in studying financial markets through complex systems prism.First, an original mathematic description for describing agents' decision-making process in case of problems affecting by both individual and collective behavior is introduced. The proposed method is particularly applicable when studied system is characterized by non-linear, path dependent and self-organizing interactions. An application to financial markets is proposed by designing a multi¬agent system based on the proposed formalization.In this application, we propose to implement a computational agent-based financial market in which the system is described in both a microscopie and macroscopic levels are proposed. The agents' decision-making process is based on fuzzy logic rules and the price dynamic is purely deten-ninistic according to the basis matching rules of a central order book as in NYSE-Euronext-Paris. We show that, while putting most parameters under evolutionary control, the computational agent- based system is able to replicate several stylized facts of financial time series (distributions of stocks returns showing a heavy tau l with positive excess kurtosis and volatility clustering phenomenon).Thereafter, with numerical simulations we propose to study three system's properties: self-organization, resilience and robustness. First a method is introduced to quantify the degree of selforganization which ernerges in the system and shows that the capacity of self-organization is maximized when the agents' behaviors are heterogeneous. Secondly, we propose to study the system's response when market shock is simulated. in both cases, numerical results are presentedI and analyzed, showing how the global market behavior emerges from specific individual behavior interactions.Our results notably show that the emergence of collective herding behavior when market shock occurs leads to a temporary disruption on the system self-organization. Finaily, numerical simulations highlight that our artificial financial market can be able to absorb strong mono-shock but be lead to the rupture by low but repeated perturbations.

Nachrichtentechnische Systeme werden stets durch unvermeidbare zufällige Störungen beeinflußt. Neben anderen Komponenten sind davon besonders Oszillatoren betroffen. Die durch die Störungen verursachten zufälligen Schwankungen in der Oszillatorausgabe können als Amplituden- und Phasenabweichungen modelliert werden. Dabei zeigt sich, daß vor allem zufällige Phasenfluktuationen von Bedeutung sind. Zufällige Phasenfluktuationen können unter Verwendung stochastischer Prozesse zweiter Ordnung mit kurzem oder langem Gedächtnis modelliert werden. Inhalt der Dissertation ist die Herleitung eines Verfahrens zur Simulation zufälliger Phasenfluktuationen von Oszillatoren mit kurzem Gedächtnis unter Berücksichtigung von Datenblattangaben.