DocumentCode
2656022
Title
A kind of modelling scheme based on ANN’s inverse model and EFRA(Exponential Forgetting and Resetting Algorithm) simulation for nonlinear system
Author
Dongcai, Qu ; Qingjiu, Xu
Author_Institution
Dept. of Control Eng., Naval Aeronaut. & Astronaut. Univ., Yantai
fYear
2008
fDate
16-18 July 2008
Firstpage
176
Lastpage
179
Abstract
It was an important method to identify and model for nonlinear system based on the system´s inverse model recently years. In order to model to complex, unknown and the indefinite nonlinear object, besides the nonlinear object was reversible, but also need reasonable modelling structure scheme and inverse model with good performance. Based on ANN´s (artificial neural network) nonlinear mapping performance, the modelling scheme based on ANN´s inverse model had been designed in the article. Used EFRA (exponential forgetting and resetting algorithm), the ANN´s inverse model had been trained on-line, and the ANN´s inverse model with satisfied identification request had been gotten. After massive simulation researches have been done, it is proved the modelling structure scheme is reasonable, the EFRA is effective to raise effect of identification and modelling and control performance.
Keywords
inverse problems; neural nets; nonlinear systems; ANN inverse model; EFRA simulation; artificial neural network; exponential forgetting-and-resetting algorithm; nonlinear system; Artificial neural networks; Control engineering; Electronic mail; Inverse problems; Neural networks; Nonlinear control systems; Nonlinear systems; Artificial neural network (ANN); EFRA(Exponential Forgetting and Resetting Algorithm); Inverse model; Modelling; Simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location
Kunming
Print_ISBN
978-7-900719-70-6
Electronic_ISBN
978-7-900719-70-6
Type
conf
DOI
10.1109/CHICC.2008.4604929
Filename
4604929
Link To Document