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Adaptive H8 Fuzzy Control for a Class of Uncertain Discrete-Time Nonlinear Systems

Adaptive H8 Fuzzy Control for a Class of Uncertain Discrete-Time Nonlinear Systems

Tsung-Chih Lin, Shuo-Wen Chang
Copyright: © 2010 |Volume: 1 |Issue: 4 |Pages: 20
ISSN: 1947-3087|EISSN: 1947-3079|EISBN13: 9781613502709|DOI: 10.4018/jalr.2010100104
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MLA

Lin, Tsung-Chih, and Shuo-Wen Chang. "Adaptive H8 Fuzzy Control for a Class of Uncertain Discrete-Time Nonlinear Systems." IJALR vol.1, no.4 2010: pp.48-67. http://doi.org/10.4018/jalr.2010100104

APA

Lin, T. & Chang, S. (2010). Adaptive H8 Fuzzy Control for a Class of Uncertain Discrete-Time Nonlinear Systems. International Journal of Artificial Life Research (IJALR), 1(4), 48-67. http://doi.org/10.4018/jalr.2010100104

Chicago

Lin, Tsung-Chih, and Shuo-Wen Chang. "Adaptive H8 Fuzzy Control for a Class of Uncertain Discrete-Time Nonlinear Systems," International Journal of Artificial Life Research (IJALR) 1, no.4: 48-67. http://doi.org/10.4018/jalr.2010100104

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Abstract

In this paper, an adaptive interval type-2 fuzzy controller is proposed for a class of unknown nonlinear discrete-time systems with training data corrupted by noise or rule uncertainties involving external disturbances. Adaptive interval type-2 fuzzy control scheme and control approach are incorporated to implement the main objective of controlling the plant to track a reference trajectory. The Laypunov stability theorem has been used to testify the asymptotic stability of the whole system and the free parameters of the adaptive fuzzy controller can be tuned on-line by an output feedback control law and adaptive laws. The overall adaptive scheme guarantees the global stability of the resulting closed-loop system in the sense that all signals involved are uniformly bounded. The simulation example is given to confirm validity and tracking performance of the advocated design methodology.

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