Neste trabalho foi realizado um estudo de aspectos relacionados ao uso de uma Rede de Sensores sem Fio, como uma tecnologia de apoio para o monitoramento ambiental em vinhedos. Com o intuito de estender o tempo de duração das baterias dos nos sensores dessa rede, procurou-se evitar coletas desnecessárias de dados. O programa aplicativo dos nos foi redefinido para possibilitar a escolha de um intervalo de amostragem próximo das necessidades, sendo essa escolha feita pelos próprios nos, a partir de condições predefinidas no aplicativo. A área de aplicação escolhida foi a viticultura, devido a grande influencia das condições ambientais no desenvolvimento fisiológico das videiras, influenciando no rendimento e na qualidade das uvas produzidas, justificando a adoção de um sistema de monitoramento. Uma das características dessas redes que motiva a sua aplicação na área agrícola e a possibilidade de coleta de dados com a resolução espaço-temporal adequada, permitindo aplicar eficientemente os conceitos da Agricultura de Precisão. Realizaram-se experimentos em um parreiral cultivado sob cobertura plástica, localizado em Bento Gonçalves, RS. Os aspectos da rede estudados compreenderam: o alcance de conectividade e qualidade do enlace entre os nos e a estação base; o desempenho da rede com os nos posicionados em diferentes alturas; a exatidão dos dados coletados, em comparação com um equipamento de maior precisão; e a avaliação da variabilidade microclimática dentro do parreiral. A validação da proposta envolveu a implementação de um protótipo funcional, testado em laboratório. O modelo proposto permitiu estimar o tempo de vida dos nos, considerando-se parâmetros como o tipo de bateria, o intervalo de amostragem e o tamanho do pacote de dados enviados pelos nos. Os resultados obtidos evidenciaram a existência de variabilidade microclimática tanto em diferentes alturas da videira, como espacialmente, dentro do parreiral. A interferência dos vegetais devido a água que contém foi avaliada a partir de dois parâmetros: o indicador de intensidade de sinal recebido e de qualidade de enlace, que indicaram maior interferência na altura do dossel das videiras. A correlação entre esses parâmetros levou a constatação que o melhor desempenho e o maior alcance de conectividade ocorrem com os nos posicionados na altura do cacho das videiras se comparados com as medições realizadas no dossel. A amostragem variável permitiu uma economia no numero de pacotes enviados, com menor consumo de energia, o que foi comprovado com o modelo proposto para tal finalidade. / A study of issues related to using a Wireless Sensor Network was carried out, as an enabling technology for environmental monitoring in vineyards. In order to extend the duration of sensor nodes batteries of the network, collecting unnecessary data was avoided. The nodes application program was redefined to allow the choice of a sampling interval close to the needs, and the choice made by the nodes themselves, based on predefined conditions in their application. The application area chosen was the viticulture because of the large influence of environmental conditions on the physiological development of the vines, influencing the yield and quality of produced grapes, justifying the adoption of a monitoring system. One of the characteristics of such networks that motivates its application in agriculture is the possibility of collecting data with the appropriate spatial and temporal resolution, allowing to efficiently apply the concepts of Precision Agriculture. Experiments were conducted in a vineyard cultivated under plastic overhead cover, situated in Bento Gonçalves, RS. The network aspects studied involved: connectivity range and link quality between nodes and gateway; network performance with nodes positioned at different heights; collected data accuracy, compared with a higher precision equipment; and microclimatic variability evaluation within the vineyard. The proposal validation involved the implementation of a functional prototype, tested in the laboratory. The model allowed estimating the nodes lifetime, considering parameters such as battery type, sampling interval and data packet size sent by sensor nodes. Results showed the existence of microclimatic variability both at different heights of the vine, and spatially within the vineyard. Vegetables interference due to the water contained in them was evaluated from two parameters: Received Signal Strength Indicator and Link Quality Indicator, which indicated greater interference in the height of the vines canopy. The correlation between these parameters led to the conclusion that the best performance and increased connectivity range occur with nodes positioned at the height of the bunch of grapes as compared with measurements made in the canopy. The variable sampling allowed savings in the number of sent packets, with lower power consumption, which agrees with the proposed model for this purpose.

Neste trabalho foi realizado um estudo de aspectos relacionados ao uso de uma Rede de Sensores sem Fio, como uma tecnologia de apoio para o monitoramento ambiental em vinhedos. Com o intuito de estender o tempo de duração das baterias dos nos sensores dessa rede, procurou-se evitar coletas desnecessárias de dados. O programa aplicativo dos nos foi redefinido para possibilitar a escolha de um intervalo de amostragem próximo das necessidades, sendo essa escolha feita pelos próprios nos, a partir de condições predefinidas no aplicativo. A área de aplicação escolhida foi a viticultura, devido a grande influencia das condições ambientais no desenvolvimento fisiológico das videiras, influenciando no rendimento e na qualidade das uvas produzidas, justificando a adoção de um sistema de monitoramento. Uma das características dessas redes que motiva a sua aplicação na área agrícola e a possibilidade de coleta de dados com a resolução espaço-temporal adequada, permitindo aplicar eficientemente os conceitos da Agricultura de Precisão. Realizaram-se experimentos em um parreiral cultivado sob cobertura plástica, localizado em Bento Gonçalves, RS. Os aspectos da rede estudados compreenderam: o alcance de conectividade e qualidade do enlace entre os nos e a estação base; o desempenho da rede com os nos posicionados em diferentes alturas; a exatidão dos dados coletados, em comparação com um equipamento de maior precisão; e a avaliação da variabilidade microclimática dentro do parreiral. A validação da proposta envolveu a implementação de um protótipo funcional, testado em laboratório. O modelo proposto permitiu estimar o tempo de vida dos nos, considerando-se parâmetros como o tipo de bateria, o intervalo de amostragem e o tamanho do pacote de dados enviados pelos nos. Os resultados obtidos evidenciaram a existência de variabilidade microclimática tanto em diferentes alturas da videira, como espacialmente, dentro do parreiral. A interferência dos vegetais devido a água que contém foi avaliada a partir de dois parâmetros: o indicador de intensidade de sinal recebido e de qualidade de enlace, que indicaram maior interferência na altura do dossel das videiras. A correlação entre esses parâmetros levou a constatação que o melhor desempenho e o maior alcance de conectividade ocorrem com os nos posicionados na altura do cacho das videiras se comparados com as medições realizadas no dossel. A amostragem variável permitiu uma economia no numero de pacotes enviados, com menor consumo de energia, o que foi comprovado com o modelo proposto para tal finalidade. / A study of issues related to using a Wireless Sensor Network was carried out, as an enabling technology for environmental monitoring in vineyards. In order to extend the duration of sensor nodes batteries of the network, collecting unnecessary data was avoided. The nodes application program was redefined to allow the choice of a sampling interval close to the needs, and the choice made by the nodes themselves, based on predefined conditions in their application. The application area chosen was the viticulture because of the large influence of environmental conditions on the physiological development of the vines, influencing the yield and quality of produced grapes, justifying the adoption of a monitoring system. One of the characteristics of such networks that motivates its application in agriculture is the possibility of collecting data with the appropriate spatial and temporal resolution, allowing to efficiently apply the concepts of Precision Agriculture. Experiments were conducted in a vineyard cultivated under plastic overhead cover, situated in Bento Gonçalves, RS. The network aspects studied involved: connectivity range and link quality between nodes and gateway; network performance with nodes positioned at different heights; collected data accuracy, compared with a higher precision equipment; and microclimatic variability evaluation within the vineyard. The proposal validation involved the implementation of a functional prototype, tested in the laboratory. The model allowed estimating the nodes lifetime, considering parameters such as battery type, sampling interval and data packet size sent by sensor nodes. Results showed the existence of microclimatic variability both at different heights of the vine, and spatially within the vineyard. Vegetables interference due to the water contained in them was evaluated from two parameters: Received Signal Strength Indicator and Link Quality Indicator, which indicated greater interference in the height of the vines canopy. The correlation between these parameters led to the conclusion that the best performance and increased connectivity range occur with nodes positioned at the height of the bunch of grapes as compared with measurements made in the canopy. The variable sampling allowed savings in the number of sent packets, with lower power consumption, which agrees with the proposed model for this purpose.

L'utilisation de correcteur discret à période d'échantillonnage variable peut être intéressante dans plusieurs cas, par exemple lorsque la mesure, bien qu'envoyée de façon périodique, est reçue à intervalle variable. C'est le cas en milieu marin lorsque la mesure d'altitude est effectuée avec un capteur à ultrason (la durée du trajet du signal dans l'eau dépend de la distance par rapport au fond). Le délai variable entre deux réceptions de mesures, peut être vu comme une variation de période d'échantillonnage pour le contrôleur. La synthèse de lois de commande discrète à période d'échantillonnage variable a déjà été étudiée pour des systèmes stationnaires. On se propose ici d'étendre cette méthode pour des systèmes Linéaires à Paramètres Variants (LPV), qui permettent de conserver des paramètres importants d'un système non-linéaire en temps que paramètres d'un système linéaires. La synthèse de contrôleur repose sur le méthodologie H∞, appliquée aux systèmes LPV. En particulier, on s'intéressera à deux approches existantes dans la littérature : l'approche polytopique (où le paramètre variant évolue dans un volume convexe) et la Représentation Linéaire Fractionnelle (LFR). La méthode proposée est appliquée au contrôle d'un AUV (Autonomous Underwater Vehicle), qui est système difficile à contrôler du fait d'importantes non-linéarités. Des résultats de simulations permettront de montrer l'intérêt de la méthode pour le contrôle d'altitude d'un AUV, et notamment les améliorations apportées par l'ajout de paramètres issus du système non-linéaire au modèle utilisé pour la synthèse des régulateurs. / Discrete time controller using variable sampling can ba interesting in several cases, for axample when the measure, even if send periodically, is received with a variable interval. This is the case in submarine environement, when the altitude measurement is done using an ultrasonic sensor. Discrete control laws synthesis with variable sampling period have already been studied for LTI systems. The results are here extended to Linear Parameter Varying systems, that allow to keep some non-linearities as parameters of a linear system. In particular, two approaches are investigated : the polytopic and the LFR. The proposed method is applied for the altitude control of an autonomous underwater vehicle (AUV). Simulations results will show the interest of the method, in particular how results are improved by adding some parameters coming from the non linear model.

The objective of this dissertation is to investigate GLR control charts based on a sequential sampling scheme (SS GLR charts). Phase II monitoring is considered and the goal is to quickly detect a wide range of changes in the univariate normal process mean parameter and/or the variance parameter. The performance of the SS GLR charts is evaluated and design guidelines for SS GLR charts are provided so that practitioners can easily apply the SS GLR charts in applications. More specifically, the structure of this dissertation is as follows: We first develop a two-sided SS GLR chart for monitoring the mean μ of a normal process. The performance of the SS GLR chart is evaluated and compared with other control charts. The SS GLR chart has much better performance than that of the fixed sampling rate GLR chart. It is also shown that the overall performance of the SS GLR chart is better than that of the variable sampling interval (VSI) GLR chart and the variable sampling rate (VSR) CUSUM chart. The SS GLR chart has the additional advantage that it requires fewer parameters to be specified than other VSR charts. The optimal parameter choices are given, and regression equations are provided to find the limits for the SS GLR chart. If detecting one-sided shifts in μ is of interest, the above SS GLR chart can be modified to be a one-sided chart. The performance of this modified SS GLR chart is investigated. Next we develop an SS GLR chart for simultaneously monitoring the mean μ and the variance 𝜎² of a normal process. The performance and properties of this chart are evaluated. The design methodology and some illustrative examples are provided so that the SS GLR chart can be easily used in applications. The optimal parameter choices are given, and the performance of the SS GLR chart remains very good as long as the parameter choices are not too far away from the optimized choices. / Ph. D.

<p>This thesis presents a method for the design of a predictive controller with variable step sizes.Predictive methods such as receding horizon control (or model predictive control) use aa fixed sampling frequency when updating the inputs. In the proposed method, the switchingtimes are incorporated into an optimization problem, thus resulting in anadaptive step-size control process. The controller with variable timesteps is shown to require less tuning and to reduce the number of expensive model evaluations.An alternate solution approach had to be developed to accommodate the new problem formulation.The controller's stability is proven in a context that does not require terminal cost or constraints.The thesis presents examples that compare the performance of the variable switching time controllerwith the receding horizon method with a fixed step size. This research opens many roads for futureextension of the theoretical work and practical applications of the controller.</p> / Doctor of Science (PhD)

Multivariate control charts are used to monitor a process when more than one quality variable associated with the process is being observed. The multivariate exponentially weighted moving average (MEWMA) control chart is one of the most commonly recommended tools for multivariate process monitoring. The standard practice, when using the MEWMA control chart, is to take samples of fixed size at regular sampling intervals for each variable. In the first part of this dissertation, MEWMA control charts based on sequential sampling schemes with two possible stages are investigated. When sequential sampling with two possible stages is used, observations at a sampling point are taken in two groups, and the number of groups actually taken is a random variable that depends on the data. The basic idea is that sampling starts with a small initial group of observations, and no additional sampling is done at this point if there is no indication of a problem with the process. But if there is some indication of a problem with the process then an additional group of observations is taken at this sampling point. The performance of the sequential sampling (SS) MEWMA control chart is compared to the performance of standard control charts. It is shown that that the SS MEWMA chart is substantially more efficient in detecting changes in the process mean vector than standard control charts that do not use sequential sampling. Also the situation is considered where different variables may have different measurement costs. MEWMA control charts with unequal sample sizes based on differing measurement costs are investigated in order to improve the performance of process monitoring. Sequential sampling plans are applied to MEWMA control charts with unequal sample sizes and compared to the standard MEWMA control charts with a fixed sample size. The steady-state average time to signal (SSATS) is computed using simulation and compared for some selected sets of sample sizes. When different variables have significantly different measurement costs, using unequal sample sizes can be more cost effective than using the same fixed sample size for each variable. In the second part of this dissertation, control chart methods are proposed for process monitoring when the quality of a process or product is characterized by a linear function. In the historical analysis of Phase I data, methods including the use of a bivariate <i>T</i>² chart to check for stability of the regression coefficients in conjunction with a univariate Shewhart chart to check for stability of the variation about the regression line are recommended. The use of three univariate control charts in Phase II is recommended. These three charts are used to monitor the <i>Y</i>-intercept, the slope, and the variance of the deviations about the regression line, respectively. A simulation study shows that this type of Phase II method can detect sustained shifts in the parameters better than competing methods in terms of average run length (ARL) performance. The monitoring of linear profiles is also related to the control charting of regression-adjusted variables and other methods. / Ph. D.

The over-adjustment means that the process is adjusted unnecessarily when a false alarm occurs. It may result in shifts in process mean and variance affecting the quality of products and have the effect of an increase in variability and cost. In this paper, the economic variable sample interval (VSI) standard and control charts are proposed to monitor effectively the mean and variance of the over-adjusted process. We use a Markov chain approach to derive the design parameters of the standard and charts by the minimum of the cost function. An example of shampoo making process is used to illustrate the application and performance of the proposed VSI standard and charts in detecting shifts in process mean and variance. Furthermore, we compare the cost and performances for the economic FSI (fixed sampling interval) and VSI control charts. Support for this research was provided in part by the National Science Council of the Republic of China, grant No. NSC 94-2118-M-004-003. / The over-adjustment means that the process is adjusted unnecessarily when a false alarm occurs. It may result in shifts in process mean and variance affecting the quality of products and have the effect of an increase in variability and cost. In this paper, the economic variable sample interval (VSI) standard and control charts are proposed to monitor effectively the mean and variance of the over-adjusted process. We use a Markov chain approach to derive the design parameters of the standard and charts by the minimum of the cost function. An example of shampoo making process is used to illustrate the application and performance of the proposed VSI standard and charts in detecting shifts in process mean and variance. Furthermore, we compare the cost and performances for the economic FSI (fixed sampling interval) and VSI control charts. Support for this research was provided in part by the National Science Council of the Republic of China, grant No. NSC 94-2118-M-004-003.

[pt] Os gráficos de controle de processo criados por Shewhart na década de 20 e em uso até hoje são eficientes para sinalizar alterações de grande magnitude na característica de qualidade de um processo (por exemplo, desvios da ordem de mais de 2 desvios-padrão, no caso do gráfico de médias); já para alterações de menos magnitude, ele são mais lentos. Para estas últimas, são sabidamente mais eficientes os esquemas CUSUM e EWMA, bem como os gráficos adaptativos, de desenvolvimento bem mais recente, também chamados de gráficos de parâmentros variáveis, porque alguns ou todos os seus parâmetros (tamanho de amostra, intervalo de tempo entre amostras, e limites de controle) passam a variar durante a operação, em função da informação fornecida pela última amostra. Nesta pesquisa, é prposta a incorporação da estratégia de gráficos adaptativos (usando um intervalo de tempo entre amostras variável) ao esquema EWMA na busca de melhorias no desempenho de gráficos de controle por atributos. O esquema proposto é aplicado a gráficos de c para detecção de alterações de pequena magnitude no número médio de não-conformidades em um processo de produção. É desenvolvido o modelo matemático para cálculo das medidas de desempenho do gráfico, e é realizada a análise de desempenho do esquema para diversos valores de c0 e c1 (número médio em controle e fora de controle de não- conformidades), com comparação com outros gráficos de controle por atributos. Resultados mostram, na maioria das situações analisadas, a vantagem do esquema proposto, em termos de uma maior rapidez de detecção de alterações de diversas magnitudes. / [en] The process control charts created by Shewhart in the 20 s and still in use today are efficient in signaling large shifts in the quality characteristics of a process (e.g. shifts greater than two standard deviations, in the case of the chart for means); they are however slower in the case of small and moderate shifts, in which case CUSUM and EWMA schemes are known to be more efficient, as are the recently developed adaptive charts, also called variable parameter charts because some or all of their design parameters (sample size, sampling interval and control limits) are allowed to vary during the operation, according to the information of the latest sample. In this thesis, looking for an enhancement in the performance of control charts for attributes, the strategy of adaptive charts (using a variable sampling interval) is incorporated to the EWMA scheme. The proposed scheme is applied to c charts for detecting small shifts in the number of nonconformities in a production process. A mathematical model is developed for calculation of the performance measures of the chart, and a performance analysis is carried out for several values of c0 and c1 (in- and out-of-control number of nonconformities), together with a comparison with other control charts for nonconformities. The results show the advantage of the proposed scheme in the majority of the analyzed situations, through faster detection of a range of shifts.

This article proposes the algorithm of a new control chart (loss function control chart) based on the Taguchi loss function with an adaptive scheme for binomial data. The loss function control chart is able to monitor cost variation from the process by applying loss function in the design. This new angle economically explores production cost. This research provides designs of the loss function control chart with specified VSI, optimal VSI, VSS and VP, respectively. Numerical analyses show that the specified VSI loss function chart, the optimal VSI loss function chart, the optimal VSS loss function chart and the optimal VP loss function chart outperform the Fp loss function chart significantly and show costs can be controlled systematically.

自舒華特發明以管制圖監測製程以來，管制圖在工程的應用日趨重要。在特殊工程中，一個高效的管制圖方法尤為重要。基於此項事實，在文獻中各式各樣的管制圖層出不窮且技術日益完善。但傳統管制圖往往受制于常態分佈，因此在無母數管制圖研究方向仍有大量工作值得探討。於是本文在母體分佈未知情況下，推廣Yang (2015)的無母數平均值管制圖方法建立變動樣本指数加权移动平均管制圖，VSS EWMA-np control chart。新的管制圖將變動樣本大小（VSS）和指數加權移動平均（EWMA）方法結合建立一種新的管制圖方法，並用這種新型管制圖監測未知分佈母體的平均值是否發生變動。而為了監測平均數是否發生變化，也為了減少抽樣損失，本文評估管制圖監測效力的指標為管制圖偵測出異常訊息所需抽樣的樣本數期望值（EN）、平均連串長度（ARL）和平均觀測值總數（ANOS）。從本文的比較結果看出新的變動樣本指數加權移動平均管制圖擁有更好的失控偵測力。 / Since Shewhart invention control chart monitor the process, control charts are increasingly important in engineering applications. In special projects, an efficient control chart is especially important. Based on this fact, the various kinds of control charts in the literature are not poor and the technology is improving. However, traditional control charts are often subject to normal distribution, so there is still a lot of work to be discussed in the direction of the study of non-parametric control charts. So in this paper under unknown distribution in the matrix, Yang (2015) established on the basis of the theory of a non-parametric method of control chart - Exponentially Weighted Moving Average Control Chart with Variable Sampling Sizes (VSS EWMA - np control chart). New control chart will change the sample size (VSS) and exponential weighted moving average (EWMA) method to establish a new control chart, and use new control chart for monitoring the mean of unknown distribution matrix is changed. And whether to monitor the average changes in order to reduce the loss of sampling, this paper mainly evaluate control chart for monitoring the effectiveness of the statistics for the expected value of the sample size (EN), the average run length (ARL) and the average number of observations to signal (ANOS). From the comparison shown in this paper, the new control chart has better detection.