Learn More
Information in measurements of a nonlinear dynamical system can be transferred to a quantitative model of the observed system to establish its fixed parameters and unobserved state variables. After this learning period is complete, one may predict the model response to new forces and, when successful, these predictions will match additional observations.(More)
In statistical data assimilation one evaluates the conditional expected values, conditioned on measurements, of interesting quantities on the path of a model through observation and prediction windows. This often requires working with very high dimensional integrals in the discrete time descriptions of the observations and model dynamics, which become(More)
In this paper, the control of a 360” flexible arm is investigated both from a theoretical and practical point of view. Based on identified discrete time models of the arm, a robust linear digital controller is designed using the combined pole placementlsensitivity functions shaping method. The particularities of the flexible arm and of the sensor used for(More)
Activities undertaken on a construction site are often accompanied with high levels of noise. Addressing the issue of noise pollution in construction is gaining significance with the growing awareness about the social and environmental components of sustainable construction and the increasing numbers of projects being undertaken in congested urban areas.(More)