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2014 | OriginalPaper | Chapter

Neural Network-Based Adaptive Dynamic Surface Control for Inverted Pendulum System

Authors : Enping Wei, Tieshan Li, Junfang Li, Yancai Hu, Qiang Li

Published in: Foundations and Practical Applications of Cognitive Systems and Information Processing

Publisher: Springer Berlin Heidelberg

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Abstract

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.

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Metadata
Title
Neural Network-Based Adaptive Dynamic Surface Control for Inverted Pendulum System
Authors
Enping Wei
Tieshan Li
Junfang Li
Yancai Hu
Qiang Li
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
Book
Foundations and Practical Applications of Cognitive Systems and Information Processing

Print ISBN: 978-3-642-37834-8

Electronic ISBN: 978-3-642-37835-5

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-642-37835-5_60

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