A filter design for T-S fuzzy systems based on moving horizon estimator with measurement noise

In this article, a filter based on moving horizon estimator is proposed with Takagi-Sugeno (T-S) fuzzy controllers for a kind of unknown discrete-time system. The T-S fuzzy control algorithm is employed to handle the unknown system dynamics, thus ensuring the property of input-to-state stability (IS...

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Bibliographic Details
Published inPeerJ. Computer science Vol. 9; p. e1208
Main Authors Gao, Hui, Wang, Yixuan, Hu, Jing
Format Journal Article
LanguageEnglish
Published United States PeerJ. Ltd 18.01.2023
PeerJ Inc
Subjects
Algorithms and Analysis of Algorithms
Analysis
Control systems
Filter
Input-to-state stability
Measurement
Moving horizon estimator (MHE)
Optimization Theory and Computation
Takagi-Sugeno (T-S) fuzzy systems
Takagi-Sugeno (T-S) fuzzy systems
Moving horizon estimator (MHE)
Filter
Input-to-state stability
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Summary:In this article, a filter based on moving horizon estimator is proposed with Takagi-Sugeno (T-S) fuzzy controllers for a kind of unknown discrete-time system. The T-S fuzzy control algorithm is employed to handle the unknown system dynamics, thus ensuring the property of input-to-state stability (ISS) of the system, which guarantees the boundedness of all states. Besides, the proposed filter and controller can significantly improve the robustness of the system with external disturbance, even if the disturbance has non-Gaussian characteristics. Finally, the effectiveness of the presented algorithm is demonstrated by simulation examples under two kind of noise situations.
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content type line 23
ISSN:2376-5992
2376-5992
DOI:10.7717/peerj-cs.1208