I develop a novel metaphysical theory of the modal structure of the physical world, which has important consequences for debates regarding laws of nature, scientific explanation, the nature of physical properties, and the applicability of mathematics to science. The theory holds that modal properties of the physical world metaphysically depend on properties of mathematical structures. I show that the relation of metaphysical dependence is naturalistically acceptable by offering examples of non-causal scientific explanation that tacitly make use of such a notion. My view offers a non-Humean understanding of nomological necessity, a unification of the epistemology of modality with the epistemology of mathematics, and an explanation of the success of mathematics in predicting and explaining empirical phenomena. / text

These compositions explore concepts based on processes and polymeter. Drawing on influences ranging from Steve Reich to Conlon Nancarrow and Nik Bärtsch they use and develop an approach to rhythmic thinking based on ostinati constructed of layers of different speeds. Through the use of click tracks, they look at how an ensemble can be enabled to perform rhythms that, without the electronic support, would be unplayable – crossing a line between the possible and the impossible. By means of processes built on a number of different ideas, the pieces explore how these can be used to affect both the behaviour and evolution of musical material, as well as using them to create fixed structures within which I then move subjectively and more intuitively. The question of balance, of moving between two points or approaches that are seemingly opposites, has also been examined: looking at how the journey affects the destination, where the simple becomes complex, and where personal meets impersonal.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / In the present scenario rotating machines have been widely used in industry because of its relative simplicity, constructive robustness and low price. In this context, adequately characterize engine behavior in nominal operating conditions, as this mathematical modeling of these machines becomes interesting and can contribute to the implementation of a predictive control real-time, moreover, there fault detection possibility to, since the engine behavior change will be felt by the identified model. One way to get this mathematical structure is through their experimental data input and output, in order to identify systems is a good option as it studies ways to model and analyze systems, through its information input and output, with the aim of discovering knowledge standards. In this context, the work is to develop a mathematical model using system identification techniques in three phase induction machines through the experimental data with the objective to implement a model apt to behavior anticipate the three-phase induction motor application control for prediction. Moreover, it presents the importance of modeling the rotating machine, moreover, is demonstrated using the method of modeling identification system and a brief justification about ARX and ARMAX models. Also there was performed parametric estimation and then we performed a test to show the performance of the identification of the three-phase induction motor. / No cenário atual as máquinas rotativas têm sido bastante utilizadas nas indústrias, devido a sua relativa simplicidade, robustez construtiva e baixo preço. Neste contexto, caracterizar adequadamente o comportamento do motor operando em condições nominais diários, visto isto a modelagem matemática destas máquinas se torna interessante podendo contribuir para a implementação de um controle preditivo em tempo real, além disso, existe a possibilidade de detecção de falhas, visto que a mudança de comportamento do motor será sentida pelo modelo identificado. Essas falhas se desencadeiam com o envelhecimento e com condições adversas as quais os motores são submetidos ao longo de suas vidas úteis. Uma forma de obter essa estrutura matemática é por meio de seus dados experimentais de entrada e saída, neste intuito a identificação de sistemas é uma boa opção visto que estuda formas de se modelar e analisar sistemas, por meio de suas informações de entrada e saída, com o objetivo de descobrir padrões de comportamento. Neste contexto, o trabalho consiste em elaborar uma modelagem matemática utilizando as técnicas de identificação de sistema em máquinas de indução trifásicas por intermédio dos dados experimentais com o objetivo de implementar um modelo apto a antecipar o comportamento do motor de indução trifásico com aplicação em controle por predição. Além disso, apresenta a importância de se modelar a máquina rotativa, além disso, é demonstrada a metodologia da modelagem utilizando identificação de sistema e uma breve fundamentação sobre os modelos ARX e ARMAX. Também realizou-se a estimação paramétrica e em seguida efetuou-se um teste para mostrar o desempenho da identificação do motor de indução trifásico. / Mestre em Ciências