6 research outputs found

    Identificação de Sistemas Utilizando a Parametrização MOLI

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    Nesta tese, são propostos novos algoritmos de identificação de sistemas lineares e invariantes no tempo com múltiplas entradas e uma saída. O sistema é descrito por um modelo de espaço de estados na forma canónica observável, sendo representado por um observador de Luenberger com uma matriz de estado conhecida. Desse modo, o problema de identificação é reduzido ao da estimação da matriz de entrada e do ganho do observador, que pode ser efetuado por um simples estimador de mínimos quadrados. A qualidade do estimador depende da matriz do estado do observador. Nos algoritmos propostos, essa matriz é determinada por processos iterativos usando abordagens de baricentro e de subespaço de estados. Todos os algoritmos são métodos de otimização sem derivadas.In this thesis, new system identification algorithms are proposed for linear and time invariant systems with multiple input and single output. The system is described by a state-space model in the canonical observable form and represented by a Luenberger observer with a known state matrix. Thence, the identification problem is reduced to the estimation of the system input matrix and the observer gain which can be performed by a simple Least Square Estimator. The quality of the estimator depends on the observer state matrix. In the proposed algorithms, this matrix is found by iterative processes using a barycenter and a subspace approaches. All algorithms are free derivative optimization methods

    Novel Approaches for Structural Health Monitoring

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    The thirty-plus years of progress in the field of structural health monitoring (SHM) have left a paramount impact on our everyday lives. Be it for the monitoring of fixed- and rotary-wing aircrafts, for the preservation of the cultural and architectural heritage, or for the predictive maintenance of long-span bridges or wind farms, SHM has shaped the framework of many engineering fields. Given the current state of quantitative and principled methodologies, it is nowadays possible to rapidly and consistently evaluate the structural safety of industrial machines, modern concrete buildings, historical masonry complexes, etc., to test their capability and to serve their intended purpose. However, old unsolved problematics as well as new challenges exist. Furthermore, unprecedented conditions, such as stricter safety requirements and ageing civil infrastructure, pose new challenges for confrontation. Therefore, this Special Issue gathers the main contributions of academics and practitioners in civil, aerospace, and mechanical engineering to provide a common ground for structural health monitoring in dealing with old and new aspects of this ever-growing research field
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