Nonlinear system control based on Neural Networks with Adaptive Predictive strategy

被引：0

作者：

Larrea, Mikel ^{[1
]}

Irigoyen, Eloy ^{[1
]}

Gomez, Vicente ^{[1
]}

Artaza, Fernando ^{[1
]}

机构：

[1] Univ Basque Country UPV EHU, ETSI, Intelligent Control Res Grp, Dept Syst Engn & Automat Control, Bilbao 48013, Spain

来源：

2010 IEEE CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA) | 2010年

关键词：

LEVENBERG-MARQUARDT ALGORITHM; INVERTED PENDULUM; STABILITY; IDENTIFICATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents an Adaptive Predictive Control strategy based on Neural Networks for nonlinear systems. In order to train the Neural Network controller, an identification of the system is carried out by the Neural Network Identifier. This second Neural Network provides the training terms related to the nonlinear system dynamics. In this way it is possible to train the Neural Network controller online. The simulation results show a correct online adaptation of the NN controller and the validity of the proposed control strategy.

引用

页数：7

共 34 条

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