Avaliação do Programa Grande Carajas a luz da teoria de delimitação de sistemas sociais

o trabalho objetiva enquadrar o Programa Grande Carajás dentro dos planos de desenvolvimento da Amazônia ~ do qual ele é um programa para a Amazônia Oriental. A base teórica e a de delimitação de sistemas sociais de Guerreiro Ramos

Antecedentes à resistência à implantação de sistemas de informação: uma análise de sistemas de gestão eletrônica de documentos

O trabalho a seguir objetivou o desenvolvimento de um meta-modelo de análise para estudo do fenômeno da resistência durante a implementação de um sistema de gerenciamento eletrônico de documentos (GED). O estudo foi conduzido por meio de uma abordagem quantitativa e explanatória e buscou elencar os principais expoentes da literatura acadêmica no tema da resistência. A partir de suas concepções, os fatores mais relevantes no campo da resistência contextualizada a um sistema de gerenciamento eletrônico de documentos foram evidenciados. O meta-modelo gerado, o qual serviu de base para a análise estatística, identificou os seguintes antecedentes ao comportamento de resistência: características pessoais, sistemas e interação. Este, por sua vez, divide-se na interação poder e política e na interação sócio-técnica. A partir da identificação desses vetores e montagem do meta-modelo, foi elaborado um questionário de investigação, o qual foi distribuído via Internet. Foram colhidas 133 respostas de usuários que tivessem vivenciado pelo menos uma experiência de implantação de um sistema de gerenciamento eletrônico de documentos. Os dados foram então submetidos a tratamento estatístico na ferramenta SPSS por meio de análise fatorial e regressão linear múltipla. Os resultados obtidos permitiram identificar os fatores de maior influência no comportamento de resistência e confirmar/refutar as hipóteses originalmente propostas. O meta-modelo gerado também promoveu a discussão dos resultados com base na teoria utilizada, gerando novos insights para o entendimento do comportamento de resistência no contexto do GED.

Método para gerenciamento de estratégias em ambiente de inovação disruptiva usando sistemas dinâmicos: o caso da implantação do cinema digital no Brasil

Uma das grandes preocupações da academia na área de Estratégia Empresarial é a evolução das teorias das inovações disruptivas versus inovações incrementais. Dentro destas discussões encaixam-se as teorias que estruturam a linha das inovações tecnológicas versus as inovações que alteram os modelos de negócios. Mais complexo é o estudo das inovações que alteram tanto as tecnologias quanto os modelos de negócios não só de algumas empresas, mas de toda uma cadeia produtiva. Esta dissertação propõe um método de antecipação das consequências que sofrerão todos os agentes de uma cadeia produtiva sob efeito de inovações disruptivas. Para lidar com a complexidade desta antevisão usamos o instrumental de sistemas dinâmicos e o pensamento sistêmico. Como estudo de caso, estamos analisamos a implantação do cinema digital no Brasil, a qual afeta toda a cadeia do áudio visual no país. No nosso referencial teórico sobre inovação utilizamos um encadeamento, não totalmente linear cronologicamente, de teorias composto pelos os conceitos de diversificação, descontinuidades tecnológicas, descontinuidades estratégicas, inovações disruptivas, modelos duais, reações organizacionais, organizações ambidestras, verticalização versus integração das cadeias produtivas e harmonização de modelos mentais. A presente dissertação discorre sobre estes fundamentos teóricos e usa o caso da implantação do Cinema Digital no Brasil como verificação empírica. A exibição digital está apresentando indícios de ser uma inovação disruptiva que altera tanto padrões tecnológicos como os modelos de negócios dos exibidores sendo, portanto, um campo adequado de verificação e extensão da teoria. Através do exame das estratégias possíveis das redes de exibidores de cinema no atual momento da digitalização no Brasil mostramos como elas podem vencer mais facilmente os desafios decorrentes do processo, aperfeiçoar os resultados econômicos e financeiros, minimizando o tempo de sua concretização e se tornarem ambidestras isto é, se prepararem para enfrentar um processo no qual muitas outras inovações ainda vão ocorrer estando, no momento, nas suas fases de gestação. A estrutura da dissertação foi construída com um maior detalhamento no início de sua parte metodológica pela utilização do instrumental sistêmico para facilitar o entendimento do projeto. Muita da literatura sobre inovações, descontinuidades e disrupções já se utilizava de uma forma de pensar sistêmica sem colocá-la sob este formato. Quando isto ocorreu de forma significativa em uma teoria importante para os nossos propósitos fizemos sua “tradução” para a simbologia sistêmica. Dentro deste objetivo, fazemos, já no capítulo 3, uma breve explanação sobre a forma de pensar em Sistemas Dinâmicos, a identificação de “loops” causais, de “delays” (atrasos) e das principais mudanças plausíveis ao longo do tempo. A seguir, no capítulo 4 fazemos uma revisão da teoria das inovações disruptivas, e no capítulo 5 mostramos como a implantação do cinema digital se encaixa nesta teoria e de como a cadeia inteira do audiovisual está sendo afetada de forma sistêmica, cuja complexidade pode ser manejada pela construção do mapa causal que relaciona as estratégias de todos os seus agentes ao longo do tempo. Este mapa causal é usado para antecipar comportamentos estratégicos dos componentes da cadeia audiovisual sob ambiente disruptivo. No capítulo 6, como contribuição teórica, propomos que esta forma de organizar a complexidade seja um processo perene a ser utilizado no mapeamento e previsão de outras mudanças em ambientes de inovações disruptivas aceleradas além de elencar recomendações estratégicas para a transformação das cadeias de exibição brasileiras em organizações ambidestras com capacidade de competir eficientemente com as cadeias internacionais que chegaram e ainda estão chegando ao país e que já são responsáveis hoje por aproximadamente 45% da receita de bilheteria de cinema no país. No capítulo 7 mostramos sugestões de aplicação do método a outras cadeias produtivas que estão no meio de processos disruptivos, as vantagens de sua adoção, limitações e aperfeiçoamentos futuros.

Sistema de detecção e isolamento de falhas em sistemas dinâmicos baseado em identificação paramétrica

The present research aims at contributing to the area of detection and diagnosis of failure through the proposal of a new system architecture of detection and isolation of failures (FDI, Fault Detection and Isolation). The proposed architecture presents innovations related to the way the physical values monitored are linked to the FDI system and, as a consequence, the way the failures are detected, isolated and classified. A search for mathematical tools able to satisfy the objectives of the proposed architecture has pointed at the use of the Kalman Filter and its derivatives EKF (Extended Kalman Filter) and UKF (Unscented Kalman Filter). The use of the first one is efficient when the monitored process presents a linear relation among its physical values to be monitored and its out-put. The other two are proficient in case this dynamics is no-linear. After that, a short comparative of features and abilities in the context of failure detection concludes that the UFK system is a better alternative than the EKF one to compose the architecture of the FDI system proposed in case of processes of no-linear dynamics. The results shown in the end of the research refer to the linear and no-linear industrial processes. The efficiency of the proposed architecture may be observed since it has been applied to simulated and real processes. To conclude, the contributions of this thesis are found in the end of the text

Controle preditivo não linear baseado no modelo de Hammerstein com prova de estabilidade

The Predictive Controller has been receiving plenty attention in the last decades, because the need to understand, to analyze, to predict and to control real systems has been quickly growing with the technological and industrial progress. The objective of this thesis is to present a contribution for the development and implementation of Nonlinear Predictive Controllers based on Hammerstein model, as well as to its make properties evaluation. In this case, in the Nonlinear Predictive Controller development the time-step linearization method is used and a compensation term is introduced in order to improve the controller performance. The main motivation of this thesis is the study and stability guarantee for the Nonlinear Predictive Controller based on Hammerstein model. In this case, was used the concepts of sections and Popov Theorem. Simulation results with literature models shows that the proposed approaches are able to control with good performance and to guarantee the systems stability

Identificação fuzzy-multimodelos para sistemas não lineares

This paper presents a new multi-model technique of dentification in ANFIS for nonlinear systems. In this technique, the structure used is of the fuzzy Takagi-Sugeno of which the consequences are local linear models that represent the system of different points of operation and the precursors are membership functions whose adjustments are realized by the learning phase of the neuro-fuzzy ANFIS technique. The models that represent the system at different points of the operation can be found with linearization techniques like, for example, the Least Squares method that is robust against sounds and of simple application. The fuzzy system is responsible for informing the proportion of each model that should be utilized, using the membership functions. The membership functions can be adjusted by ANFIS with the use of neural network algorithms, like the back propagation error type, in such a way that the models found for each area are correctly interpolated and define an action of each model for possible entries into the system. In multi-models, the definition of action of models is known as metrics and, since this paper is based on ANFIS, it shall be denominated in ANFIS metrics. This way, ANFIS metrics is utilized to interpolate various models, composing a system to be identified. Differing from the traditional ANFIS, the created technique necessarily represents the system in various well defined regions by unaltered models whose pondered activation as per the membership functions. The selection of regions for the application of the Least Squares method is realized manually from the graphic analysis of the system behavior or from the physical characteristics of the plant. This selection serves as a base to initiate the linear model defining technique and generating the initial configuration of the membership functions. The experiments are conducted in a teaching tank, with multiple sections, designed and created to show the characteristics of the technique. The results from this tank illustrate the performance reached by the technique in task of identifying, utilizing configurations of ANFIS, comparing the developed technique with various models of simple metrics and comparing with the NNARX technique, also adapted to identification

Um ambiente computacional para modelagem simbólica de sistemas físicos lineares

Este trabalho propõe um ambiente computacional aplicado ao ensino de sistemas de controle, denominado de ModSym. O software implementa uma interface gráfica para a modelagem de sistemas físicos lineares e mostra, passo a passo, o processamento necessário à obtenção de modelos matemáticos para esses sistemas. Um sistema físico pode ser representado, no software, de três formas diferentes. O sistema pode ser representado por um diagrama gráfico a partir de elementos dos domínios elétrico, mecânico translacional, mecânico rotacional e hidráulico. Pode também ser representado a partir de grafos de ligação ou de diagramas de fluxo de sinal. Uma vez representado o sistema, o ModSym possibilita o cálculo de funções de transferência do sistema na forma simbólica, utilizando a regra de Mason. O software calcula também funções de transferência na forma numérica e funções de sensibilidade paramétrica. O trabalho propõe ainda um algoritmo para obter o diagrama de fluxo de sinal de um sistema físico baseado no seu grafo de ligação. Este algoritmo e a metodologia de análise de sistemas conhecida por Network Method permitiram a utilização da regra de Mason no cálculo de funções de transferência dos sistemas modelados no software

Identificação não linear usando uma rede fuzzy wavelet neural network modificada

In last decades, neural networks have been established as a major tool for the identification of nonlinear systems. Among the various types of networks used in identification, one that can be highlighted is the wavelet neural network (WNN). This network combines the characteristics of wavelet multiresolution theory with learning ability and generalization of neural networks usually, providing more accurate models than those ones obtained by traditional networks. An extension of WNN networks is to combine the neuro-fuzzy ANFIS (Adaptive Network Based Fuzzy Inference System) structure with wavelets, leading to generate the Fuzzy Wavelet Neural Network - FWNN structure. This network is very similar to ANFIS networks, with the difference that traditional polynomials present in consequent of this network are replaced by WNN networks. This paper proposes the identification of nonlinear dynamical systems from a network FWNN modified. In the proposed structure, functions only wavelets are used in the consequent. Thus, it is possible to obtain a simplification of the structure, reducing the number of adjustable parameters of the network. To evaluate the performance of network FWNN with this modification, an analysis of network performance is made, verifying advantages, disadvantages and cost effectiveness when compared to other existing FWNN structures in literature. The evaluations are carried out via the identification of two simulated systems traditionally found in the literature and a real nonlinear system, consisting of a nonlinear multi section tank. Finally, the network is used to infer values of temperature and humidity inside of a neonatal incubator. The execution of such analyzes is based on various criteria, like: mean squared error, number of training epochs, number of adjustable parameters, the variation of the mean square error, among others. The results found show the generalization ability of the modified structure, despite the simplification performed

Modelagem linear e identificação do modelo dinâmico de um robô móvel com acionamento diferencial

This work presents a modelling and identification method for a wheeled mobile robot, including the actuator dynamics. Instead of the classic modelling approach, where the robot position coordinates (x,y) are utilized as state variables (resulting in a non linear model), the proposed discrete model is based on the travelled distance increment Delta_l. Thus, the resulting model is linear and time invariant and it can be identified through classical methods such as Recursive Least Mean Squares. This approach has a problem: Delta_l can not be directly measured. In this paper, this problem is solved using an estimate of Delta_l based on a second order polynomial approximation. Experimental data were colected and the proposed method was used to identify the model of a real robot

Controlador preditivo não linear aplicado ao controle de golfadas em processos de produção de petróleo

Slugging is a well-known slugging phenomenon in multiphase flow, which may cause problems such as vibration in pipeline and high liquid level in the separator. It can be classified according to the place of its occurrence. The most severe, known as slugging in the riser, occurs in the vertical pipe which feeds the platform. Also known as severe slugging, it is capable of causing severe pressure fluctuations in the flow of the process, excessive vibration, flooding in separator tanks, limited production, nonscheduled stop of production, among other negative aspects that motivated the production of this work . A feasible solution to deal with this problem would be to design an effective method for the removal or reduction of the system, a controller. According to the literature, a conventional PID controller did not produce good results due to the high degree of nonlinearity of the process, fueling the development of advanced control techniques. Among these, the model predictive controller (MPC), where the control action results from the solution of an optimization problem, it is robust, can incorporate physical and /or security constraints. The objective of this work is to apply a non-conventional non-linear model predictive control technique to severe slugging, where the amount of liquid mass in the riser is controlled by the production valve and, indirectly, the oscillation of flow and pressure is suppressed, while looking for environmental and economic benefits. The proposed strategy is based on the use of the model linear approximations and repeatedly solving of a quadratic optimization problem, providing solutions that improve at each iteration. In the event where the convergence of this algorithm is satisfied, the predicted values of the process variables are the same as to those obtained by the original nonlinear model, ensuring that the constraints are satisfied for them along the prediction horizon. A mathematical model recently published in the literature, capable of representing characteristics of severe slugging in a real oil well, is used both for simulation and for the project of the proposed controller, whose performance is compared to a linear MPC

Equalização neural aplicada a sistemas com modulação bidimensional em fibra óptica

Nowadays, optic fiber is one of the most used communication methods, mainly due to the fact that the data transmission rates of those systems exceed all of the other means of digital communication. Despite the great advantage, there are problems that prevent full utilization of the optical channel: by increasing the transmission speed and the distances involved, the data is subjected to non-linear inter symbolic interference caused by the dispersion phenomena in the fiber. Adaptive equalizers can be used to solve this problem, they compensate non-ideal responses of the channel in order to restore the signal that was transmitted. This work proposes an equalizer based on artificial neural networks and evaluates its performance in optical communication systems. The proposal is validated through a simulated optic channel and the comparison with other adaptive equalization techniques

Utilização da lógica difusa no controle inteligente de sistemas eletro-hidráulicos

Electro-hydraulic servo-systems are widely employed in industrial applications such as robotic manipulators, active suspensions, precision machine tools and aerospace systems. They provide many advantages over electric motors, including high force to weight ratio, fast response time and compact size. However, precise control of electro-hydraulic systems, due to their inherent nonlinear characteristics, cannot be easily obtained with conventional linear controllers. Most flow control valves can also exhibit some hard nonlinearities such as deadzone due to valve spool overlap on the passage´s orifice of the fluid. This work describes the development of a nonlinear controller based on the feedback linearization method and including a fuzzy compensation scheme for an electro-hydraulic actuated system with unknown dead-band. Numerical results are presented in order to demonstrate the control system performance

Controle inteligente de sistemas eletroidráulicos utilizando redes neurais artificiais

This work describes the development of a nonlinear control strategy for an electro-hydraulic actuated system. The system to be controlled is represented by a third order ordinary differential equation subject to a dead-zone input. The control strategy is based on a nonlinear control scheme, combined with an artificial intelligence algorithm, namely, the method of feedback linearization and an artificial neural network. It is shown that, when such a hard nonlinearity and modeling inaccuracies are considered, the nonlinear technique alone is not enough to ensure a good performance of the controller. Therefore, a compensation strategy based on artificial neural networks, which have been notoriously used in systems that require the simulation of the process of human inference, is used. The multilayer perceptron network and the radial basis functions network as well are adopted and mathematically implemented within the control law. On this basis, the compensation ability considering both networks is compared. Furthermore, the application of new intelligent control strategies for nonlinear and uncertain mechanical systems are proposed, showing that the combination of a nonlinear control methodology and artificial neural networks improves the overall control system performance. Numerical results are presented to demonstrate the efficacy of the proposed control system

Controle por modos deslizantes com compensação difusa aplicado a sistemas com descontinuidade

The development of non-linear controllers gained space in the theoretical ambit and of practical applications on the moment that the arising of digital computers enabled the implementation of these methodologies. In comparison with the linear controllers more utilized, the non -linear controllers present the advantage of not requiring the linearity of the system to determine the parameters of control, which permits a more efficient control especially when the system presents a high level of non-linearity. Another additional advantage is the reduction of costs, since to obtain the efficient control through linear controllers it is necessary the utilization of sensors and more refined actuators than when it is utilized a non-linear controller. Among the non-linear theories of control, the method of control by gliding ways is detached for being a method that presents more robustness, before uncertainties. It is already confirmed that the adoption of compensation on the region of residual error permits to improve better the performance of these controllers. So, in this work it is described the development of a non-linear controller that looks for an association of strategy of control by gliding ways, with the fuzzy compensation technique. Through the implementation of some strategies of fuzzy compensation, it was searched the one which provided the biggest efficiency before a system with high level of nonlinearities and uncertainties. The electrohydraulic actuator was utilized as an example of research, and the results appoint to two configurations of compensation that permit a bigger reduction of the residual error

Estudo de sistemas complexos com interações de longo alcance : percolação, redes e tráfego

In this thesis we investigate physical problems which present a high degree of complexity using tools and models of Statistical Mechanics. We give a special attention to systems with long-range interactions, such as one-dimensional long-range bondpercolation, complex networks without metric and vehicular traffic. The flux in linear chain (percolation) with bond between first neighbor only happens if pc = 1, but when we consider long-range interactions , the situation is completely different, i.e., the transitions between the percolating phase and non-percolating phase happens for pc < 1. This kind of transition happens even when the system is diluted ( dilution of sites ). Some of these effects are investigated in this work, for example, the extensivity of the system, the relation between critical properties and the dilution, etc. In particular we show that the dilution does not change the universality of the system. In another work, we analyze the implications of using a power law quality distribution for vertices in the growth dynamics of a network studied by Bianconi and Barabási. It incorporates in the preferential attachment the different ability (fitness) of the nodes to compete for links. Finally, we study the vehicular traffic on road networks when it is submitted to an increasing flux of cars. In this way, we develop two models which enable the analysis of the total flux on each road as well as the flux leaving the system and the behavior of the total number of congested roads