Neural network-based adaptive dynamic surface control for inverted pendulum system

被引：0

作者：

Wei, Enping ^{[1
]}

Li, Tieshan ^{[1
]}

Li, Junfang ^{[1
]}

Hu, Yancai ^{[1
]}

Li, Qiang ^{[1
]}

机构：

[1] Wei, Enping

[2] Li, Tieshan

[3] Li, Junfang

[4] Hu, Yancai

[5] Li, Qiang

来源：

Wei, E. (weienping@yahoo.cn) | 1600年 / Springer Verlag卷 / 215期

基金：

中国国家自然科学基金;

关键词：

Closed loop systems - Inverted pendulum - Backstepping - Adaptive control systems;

D O I：

10.1007/978-3-642-37835-5_60

中图分类号：

学科分类号：

摘要：

In this paper, a novel neural network (NN)-based adaptive dynamic surface control (DSC) is proposed for inverted pendulum system. This scheme overcomes the problem of explosion of complexity which is inherent in the traditional backstepping technique. Meanwhile, the effect of input saturation constrains is considered in the control design. All the signals in the closed-loop system are proved uniformly ultimately bounded. Finally, the experimental platform simulation results are used to demonstrate the effectiveness of the proposed scheme. © Springer-Verlag Berlin Heidelberg 2014.

引用

页码：695 / 704

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