Research of NLDDS and Neural Network for Modeling,Forecasting and Control of a Piezo-actuator
DOI:
CSTR:
Author:
Affiliation:
Clc Number:
Fund Project:
Article
|
Figures
|
Metrics
|
Reference
|
Related
|
Cited by
|
Materials
|
Comments
Abstract:
The nonlinear dynamic data system (NLDDS) and nonlinear recursive least square (NLRLS)methods are used for modeling,forecasting and control of a piezoelectric actuator with nonlinear hysteresis characteristics in this paper. Neural network is also used for simulation for this purpose. Results of above research show that these methods are feasible and effective.
Reference
Related
Cited by
Get Citation
Li Shengyi, Zou Xiangyang, Wu Zhenfeng. Research of NLDDS and Neural Network for Modeling,Forecasting and Control of a Piezo-actuator[J]. Journal of National University of Defense Technology,1992,14(2):5-11.