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Neural Computing and Applications
Published in: Neural Computing and Applications 9/2018

31-08-2016 | Original Article

A new global fuzzy fault-tolerant control for a double inverted pendulum based on time-delay replacement

Authors: Tao Guo, Jing Xiong

Published in: Neural Computing and Applications | Issue 9/2018

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Abstract

In this paper, a delay replacement-based adaptive fault-tolerant control method is proposed for a double inverted pendulum connected by an unknown device. By combining fuzzy approximation and integer backstepping, a new time-delay assumption-independent state feedback decentralized control scheme is developed based on directly replacing the unbounded time-delay argument of fuzzy approximators with the bounded reference signals. Furthermore, all of the two typical types of actuator faults can be compensated for on-line. Compared with the existing results, the time-delay assumptions that need to be test and verify in applications are eliminated, and global bounded stability of the closed-loop system is guaranteed. Simulation results are provided to show the effectiveness of the control approach.
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Metadata
Title
A new global fuzzy fault-tolerant control for a double inverted pendulum based on time-delay replacement
Authors
Tao Guo
Jing Xiong
Publication date
31-08-2016
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 9/2018
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-016-2576-1

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