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Active control of a flexible beam is investigated using time-delayed piezoelectric actuator. A minimization problem is formulated that consists of finding the control voltage applied to a piezoelectric patch actuator which suppresses the dynamic responses of the beam at a specified terminal time with least control effort. The solution method is based on a combination of modal expansion and direct...
We consider sequential nonlinear prediction of a bounded, real-valued and deterministic signal from its noise-corrupted past samples in a competitive algorithm framework. We introduce a randomized algorithm based on context-trees [1]. The introduced algorithm asymptotically achieves the performance of the best piecewise affine model that can both select the best partition of the past observations...
We consider sequential nonlinear prediction of a bounded, real-valued and deterministic signal from its noise-corrupted past samples in a competitive algorithm framework. We introduce a randomized algorithm based on context-trees . The introduced algorithm asymptotically achieves the performance of the best piecewise affine model that can both select the best partition of the past observations space...
The Krylov proportionate normalized least mean square (KPNLMS) algorithm extended the use of proportional update idea of the PNLMS (proportionate normalized LMS) algorithm to the non-sparse (dispersive) systems. This paper deals with the mean fourth minimization of the error and proposes Krylov proportionate normalized least mean fourth algorithm (KPNLMF). First, the PNLMF (proportionate NLMF) algorithm...
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