Intelligent Learning Algorithms for Active Vibration Control

Active Vibration Control of Piezoelectric Intelligent Structures

The study of the applications of piezoelectric materials in the active vibration control of flexible structures has been ongoing for more than a decade. Based on the Linear Quadratic Gauss (LQG) optimal control method, the paper introduces an effective procedure to suppress the vibration of flexible structures with the sensors/actuators are symmetrically collocated on both sides of the same pos...

Active intelligent control of vibration of flexible plate structures

The development of intelligent control approaches for vibration reduction of flexible plate structures are investigated and reported in this thesis. In this work active intelligent control comprises a set of control techniques based on particle swarm optimisation (PSO), real coded genetic algorithm (RCGA) and artificial immune system (AIS). A traditional method of recursive least squares ( U S ...

Active Vibration Control

In order to motivate the use of active vibration control, consider the future interferometric missions planned by NASA or ESA (one such a mission, called ”Terrestrial Planet Finder” aims at detecting earth-sized planets outside the solar system; other missions include the mapping of the sky with an accuracy one order better than that achieved by Hypparcos). The purpose is to use a number of sma...

Learning Algorithms for Active Learning

We introduce a model that learns active learning algorithms via metalearning. For a distribution of related tasks, our model jointly learns: a data representation, an item selection heuristic, and a method for constructing prediction functions from labeled training sets. Our model uses the item selection heuristic to gather labeled training sets from which to construct prediction functions. Usi...

Algorithms for active learning