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https://hdl.handle.net/2440/121662
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Type: | Journal article |
Title: | Fuzzy adaptive control of a class of nonlinear systems with unmodeled dynamics |
Author: | Shen, Q. Shi, P. Wang, S. Shi, Y. |
Citation: | International Journal of Adaptive Control and Signal Processing, 2019; 33(4):712-730 |
Publisher: | Wiley |
Issue Date: | 2019 |
ISSN: | 0890-6327 1099-1115 |
Statement of Responsibility: | Qikun Shen, Peng Shi, Shuoyu Wang, Yan Shi |
Abstract: | This paper investigates the tracking control problem for a class of pure‐feedback systems with unmodeled dynamics. The useful properties of the fuzzy basis functions and membership are explored to be used for stability analysis, and an alternative Lyapunov function depending on both control input and system state is utilized. Then, an adaptive fuzzy controller is designed to ensure that the tracking error is within a small adjustable neighborhood of the origin, where some conventional assumptions imposed on the unmodeled dynamics have been relaxed. Finally, simulation results are given to validate the theoretical results. |
Keywords: | Adaptive control; fuzzy control; unmodeled dynamics |
Rights: | © 2019 John Wiley & Sons, Ltd. |
DOI: | 10.1002/acs.2980 |
Grant ID: | http://purl.org/au-research/grants/arc/DP140102180 http://purl.org/au-research/grants/arc/LP140100471 http://purl.org/au-research/grants/arc/LE150100079 |
Published version: | http://dx.doi.org/10.1002/acs.2980 |
Appears in Collections: | Aurora harvest 8 Electrical and Electronic Engineering publications |
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