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 :
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