Piezoelectric actuators have great capabilities as elements of intelligent structures for active vibration cancellation. One problem with this type of actuator is its nonlinear behaviour. In active vibration control systems, it is important to have an accurate model of the control branch. This paper demonstrates the ability of neural networks to model the nonlinearity of a piezoelectric actuator in the control branch.Keywords : Piezoelectric actuators, active vibration cancellation, system identification, neural networks
© 1982-2012 IEEE. Piezoelectric-actuated stick-slip device (PASSD) is a highly promising equipment t...
This paper presents a deep analysis of different feed-forward (FF) techniques combined with two diff...
International audienceThis paper presents a new methodology of nonlinear system identification using...
Piezoelectric actuators have great capabilities as elements of intelligent structures for active vib...
The study presented in this paper introduces a new intelligent methodology to mitigate the vibration...
We report an improvement of the artificial neural network (ANN) modelling of a piezoelectric actuato...
In this study, possible options for the active damping of a smart beam with piezoelectric patches us...
In this research, an active vibration suppression of a smart beam having piezoelectric sensor and ac...
This paper investigates the use of a neural network to determine which force actuators, of a multi-a...
Various model-based control methods are currently used in control of piezoelectric tubes, others suc...
This paper presents a neural network controller for a piezoelectric controlled structure by emulatin...
Robust vibration control of smart composite beams using neural networks was studied. Linear quadrati...
Orientador: Alberto Luiz SerpaDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade ...
We investigated the design of a neural-network-based adaptive control system for a smart structural ...
The main goal of this study is to test differential neural network as a controller of smart structur...
© 1982-2012 IEEE. Piezoelectric-actuated stick-slip device (PASSD) is a highly promising equipment t...
This paper presents a deep analysis of different feed-forward (FF) techniques combined with two diff...
International audienceThis paper presents a new methodology of nonlinear system identification using...
Piezoelectric actuators have great capabilities as elements of intelligent structures for active vib...
The study presented in this paper introduces a new intelligent methodology to mitigate the vibration...
We report an improvement of the artificial neural network (ANN) modelling of a piezoelectric actuato...
In this study, possible options for the active damping of a smart beam with piezoelectric patches us...
In this research, an active vibration suppression of a smart beam having piezoelectric sensor and ac...
This paper investigates the use of a neural network to determine which force actuators, of a multi-a...
Various model-based control methods are currently used in control of piezoelectric tubes, others suc...
This paper presents a neural network controller for a piezoelectric controlled structure by emulatin...
Robust vibration control of smart composite beams using neural networks was studied. Linear quadrati...
Orientador: Alberto Luiz SerpaDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade ...
We investigated the design of a neural-network-based adaptive control system for a smart structural ...
The main goal of this study is to test differential neural network as a controller of smart structur...
© 1982-2012 IEEE. Piezoelectric-actuated stick-slip device (PASSD) is a highly promising equipment t...
This paper presents a deep analysis of different feed-forward (FF) techniques combined with two diff...
International audienceThis paper presents a new methodology of nonlinear system identification using...