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Iranian Journal of Fuzzy Systems، جلد ۱۸، شماره ۱، صفحات ۱۷۱-۱۸۳
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| عنوان انگلیسی |
Robust output feedback adaptive sliding mode control for a class of uncertain nonlinear systems using robust adaptive fuzzy observer |
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| چکیده انگلیسی مقاله |
This article presents a new robust adaptive sliding mode controller for a class of uncertain nonlinear systems whereas only the system output is measurable. Firstly, a robust adaptive fuzzy observer is designed for the system in order to estimate its state variables. The robust asymptotic convergence of the proposed observer is proven by Lyapunov direct method. Then based on the observation states, a robust adaptive sliding mode controller is suggested such that the closed loop system to be asymptotically stable. Robust asymptotic stability of the overall system suggested by the controller is also confirmed based on Lyapunov theory. Simulation results illustrate practicality and effectiveness of the proposed technique for controlling uncertain nonlinear systems. |
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| کلیدواژه‌های انگلیسی مقاله |
State observer, Adaptive fuzzy control, adaptive sliding mode control, Lyapunov theory |
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| نویسندگان مقاله |
A. Akbarzadeh Kalat |
Faculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood, Iran
V. Mokhtari |
Faculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood, Iran
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| نشانی اینترنتی |
https://ijfs.usb.ac.ir/article_5881_7c90a9812e45e9da0af94853a41301a0.pdf |
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| زبان مقاله منتشر شده |
en |
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