Manuel R. Barbosa

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Parallel manipulators are well known for their high dynamic performances and low positioning errors. In the last few years parallel manipulators have attracted great attention from researchers involved in different areas, including highprecision robotics, machine-tools, simulators and haptic devices. Generally speaking, the performance of a robotic(More)
This paper uses time-frequency methods and neural networks for the analysis and forecasting of indoor temperature time series. In a first phase, the time series are processed by means of the Fourier transform and the empirical mode decomposition methods to unveil temporal patterns embedded in the data. In a second phase, neural networks are adopted for(More)
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